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⚡ Event-Driven Mindset

🔍 What Is the Event-Driven Mindset?

The event-driven mindset is a core principle in the ConnectSoft AI Software Factory. It shapes how the entire platform is modeled, orchestrated, and automated. Unlike request-response systems that rely on tightly coupled interactions, ConnectSoft embraces asynchronous, observable, loosely coupled communication through events.

In ConnectSoft, everything meaningful is expressed as an event — an immutable fact that something occurred.

This mindset influences not only the runtime behavior of services, but also the design, assembly, and coordination of agents, microservices, blueprints, and infrastructure.

🧠 Why It Matters

The event-driven mindset is foundational to:

  • 🤖 Agent autonomy — agents act only when meaningful events occur
  • ⚙️ Orchestration — coordinators drive workflows by reacting to events, not polling states
  • 🧩 Modularity — services and agents are decoupled and communicate asynchronously
  • 🔁 Reusability — events are stable contracts reused across modules and pipelines
  • 📈 Observability — events are inherently traceable, auditable, and versioned
  • 🏗️ Scalability — loose coupling enables systems to grow horizontally without friction

🧭 Platform-Wide Use of Events

In ConnectSoft, events are used to:

Layer Example Events
Project Lifecycle ProjectInitialized, VisionDocumentCreated, BlueprintCreated
Agent Execution TemplateProvisioned, MicroserviceScaffolded, ApiContractGenerated
Service Runtime AppointmentBooked, UserRegistered, InvoicePaid
DevOps InfraPlanCreated, ReleaseTriggered, ArtifactPublished
Governance & Observability SecurityPolicyPublished, TraceExported, HealthCheckFailed

These events trigger orchestration flows, agent invocations, CI/CD steps, and telemetry pipelines — enabling full-factory automation.

🔁 From Static Pipelines to Reactive Coordination

Traditional systems execute in rigid, linear pipelines. ConnectSoft replaces this with a reactive graph of event triggers, where:

  • Every component (agent, service, blueprint, template) listens to relevant events
  • Orchestrators route control by emitting lifecycle or domain events
  • Agents generate artifacts and publish events that trigger others
  • Coordinators resume FSMs when the next expected event occurs

🔧 Example: Event-Driven Coordination Chain

sequenceDiagram
  participant User
  participant Orchestrator
  participant VisionAgent
  participant ProductAgent
  participant DevOpsAgent

  User->>Orchestrator: Create Project
  Orchestrator->>EventBus: Emit ProjectInitialized
  EventBus->>VisionAgent: Activate
  VisionAgent->>EventBus: Emit VisionDocumentCreated
  EventBus->>ProductAgent: Activate
  ProductAgent->>EventBus: Emit ProductPlanCreated
  EventBus->>DevOpsAgent: Activate
Hold "Alt" / "Option" to enable pan & zoom

✅ Each agent acts only when its input event is emitted — no hardwired sequence, no polling, full decoupling.

🧠 Summary

The event-driven mindset in ConnectSoft:

  • Embraces asynchronous, traceable communication between agents, services, and modules
  • Replaces procedural logic with event flows and triggers
  • Enables autonomy, scalability, modularity, and observability at platform scale

🎯 Strategic Importance of Event-Driven Thinking

The event-driven mindset is not just a technical pattern in ConnectSoft — it is a strategic enabler of the platform’s core capabilities: automation, scalability, composability, and multi-agent collaboration.

This mindset allows the platform to function as an autonomous factory, where intelligent agents, services, and orchestrators operate independently but coherently, triggered only by relevant changes or conditions in the system — expressed as events.

🚀 Why It Matters Strategically

Capability Enabled by Event-Driven Thinking
Agent autonomy Agents are activated when something relevant happens (e.g., BlueprintCreated) — not through hardcoded logic or polling.
Composable orchestration Coordinators react to lifecycle events and state transitions to resume or advance execution.
Loose coupling at scale Services and agents don’t know about each other — they publish and subscribe to meaningful facts (events).
Tenant-aware automation Events carry tenant and context metadata, allowing dynamic routing and scoping.
Intelligent feedback loops Events like TestFailed, DeploymentRolledBack, or FeedbackAnalyzed feed back into planning flows.

🧩 Events as the Backbone of ConnectSoft

Every layer of the platform relies on event-driven design:

Layer Strategic Role of Events
Vision & Planning Events trigger agent activation across business planning phases.
Architecture & Modeling Events reflect service boundaries, domain transitions, and context shifts.
Engineering & Code Gen Agents emit ServiceScaffolded, ApiContractGenerated, and TestCasesGenerated.
DevOps & Delivery Pipelines react to BlueprintReady, InfraPlanCreated, ReleaseTriggered.
Governance Events enforce traceability, auditability, and system introspection.

🧠 Example: Autonomous Flow Triggered by Events

graph TD
  A[🟢 ProjectInitialized]
  B[🧠 VisionDocumentCreated]
  C[📦 ProductPlanCreated]
  D[🔧 BlueprintCreated]
  E[⚙️ MicroserviceScaffolded]
  F[✅ TestSuiteGenerated]
  G[🚀 ReleaseTriggered]

  A --> B --> C --> D --> E --> F --> G
Hold "Alt" / "Option" to enable pan & zoom

✅ This flow is not a pipeline. It is a decentralized graph of reactions, orchestrated through event subscriptions and triggers.

📊 Platform Efficiency Gains

Benefit How Events Enable It
Parallelism Multiple agents can react to the same event and work concurrently.
Resilience If an agent fails, the event is retried or deferred — the system doesn’t crash.
Replayability You can replay a past session from a sequence of stored events.
Auditability Every decision and action is linked to a traceId and triggering event.
Evolution Modules can be versioned and still process the same events with new handlers.

🧬 Strategic Autonomy at Scale

In ConnectSoft’s vision to support 3,000+ microservices, hundreds of agents, and multi-tenant SaaS projects, event-driven thinking allows:

  • Autonomous evolution — no global rewrite needed to introduce new capabilities
  • Horizontal scaling — more services and agents can join without central coordination
  • On-demand modular activation — agents only awaken when needed

✅ Summary

The event-driven mindset is the foundation for:

  • Scalable, agent-led software generation
  • Robust modular orchestration
  • Reusable flows and self-healing coordination
  • Cost-effective, context-aware, and parallel execution

🔄 Event Thinking vs. Request-Driven Thinking

Most traditional systems rely on request-response patterns: one service or component actively calls another and waits for a reply. This creates tight coupling, brittle dependencies, and linear execution paths.

In contrast, event-driven thinking in ConnectSoft reverses this model: components react to events, not requests. This enables systems to be reactive, autonomous, and asynchronous by default.

⚖️ Core Differences

Characteristic Request-Driven Event-Driven
Coupling Tight: caller depends on callee Loose: publisher doesn't know subscribers
Flow Synchronous, blocking Asynchronous, non-blocking
Error Propagation Immediate and upstream Isolated and recoverable
Scalability Limited by chains of calls Parallel and horizontally scalable
Coordination Centralized logic or workflow engine Decentralized, event-based coordination
Observability Limited to request chain Observable through emitted events

🧠 Mental Model Shift

Request-Driven Mindset Event-Driven Mindset
“Call this service to complete step X.” “Wait until step X is completed and announced.”
“Tell the API to generate a plan.” “React when VisionDocumentCreated is emitted.”
“If statement: if failed, call error handler.” “Emit TestFailed and let subscribers react.”
“Orchestrate with direct method calls.” “Orchestrate through emitted signals (events).”

In ConnectSoft, no agent directly invokes another. They listen to signals, not commands.

🧩 Example: Design Response vs. Event Response

🟥 Request-Driven Design:

var plan = ProductManager.GenerateProductPlan(vision);
BlueprintService.CreateBlueprint(plan);

→ Tightly coupled. If any step fails or changes, the whole chain breaks.

🟩 Event-Driven Design:

Event: VisionDocumentCreated
⬇
Trigger → Product Manager Agent
⬇
Emit → ProductPlanCreated
⬇
Trigger → Solution Architect Agent
⬇
Emit → BlueprintCreated

→ Each component is independent, resilient, and swappable.

⚙️ Platform Consequences of Going Event-First

Benefit Example
Parallelization Multiple agents (e.g., QA Agent, Docs Agent) react to ServiceScaffolded.
Replaceability Upgrade API Designer Agent v1.8 to v2.1 without modifying producer or consumer.
Traceability Every action linked to eventId, agentId, and traceId.
Zero Downtime Evolution Old and new consumers can coexist via versioned events.

🔁 When Request-Driven Thinking Still Applies

Although the factory is event-first, request-based APIs are still used:

  • For human interaction via Studio UI
  • In runtime services for direct data queries
  • When events require confirmation or feedback loops

However, these are encapsulated behind event-driven workflows, never exposed as platform-wide design patterns.

✅ Summary

  • ConnectSoft replaces request-response chains with event-driven flow graphs.
  • Events lead to decoupled, testable, traceable interactions between components.
  • This mindset unlocks scalability, parallelism, and agent autonomy.

🌱 Event-First Design Culture

Adopting the event-driven mindset in ConnectSoft goes beyond architecture — it requires embracing an event-first culture across every phase of the software lifecycle: vision, planning, design, generation, orchestration, deployment, and evolution.

“If it’s important, it emits an event.”

Event-first design means that everything worth reacting to is captured as an explicit, versioned, and traceable event, which can then trigger autonomous behavior from services, agents, or workflows.

🧭 What Is Event-First Design?

Event-first design means:

  • Designing events first, before writing services, agents, or APIs
  • Modeling domain events and system lifecycle events as first-class citizens
  • Using events as the source of truth in orchestration flows and decision graphs
  • Ensuring every module publishes and reacts to well-defined events
  • Capturing system changes as immutable, observable records

🧩 Event-First Thinking in Practice

Activity Event-First Approach
Designing a feature Ask: “What event will represent completion of this feature?”
Defining service boundaries Look for natural domain events that flow between contexts
Building agents Define input/output events that trigger execution
Testing coordination Replay events to simulate distributed workflows
Debugging failures Trace event history and validate payloads + origins

🧠 Example: Event-First Microservice Planning

  1. Start with the domain event: AppointmentBooked
  2. Define its schema and versioning strategy
  3. Model consumers:
    • NotificationService → send confirmation
    • AnalyticsAgent → record KPI
    • AvailabilityService → block time slot
  4. Design services to react to that event — not vice versa
  5. Register event in event registry with domain, version, author

✅ This decouples producers and consumers while aligning services to domain flows.

📦 Event-First in ConnectSoft Blueprints

Every blueprint in ConnectSoft — from ServiceBlueprint.yaml to VisionDocument.md — includes:

  • Expected events to be emitted by the service or agent
  • Subscribed events that define when execution should begin
  • Event schema definitions and contract versions

This enforces event awareness at design time, not as an afterthought.

🔁 Studio Support for Event-First Modeling

The Studio allows users to:

  • Define event contracts as modular entities
  • Link services to emitted and consumed events
  • Visualize event flow between modules
  • Validate blueprint completeness based on event triggers

→ The system won’t scaffold or deploy incomplete designs without event specifications.

📈 Organizational Culture Shift

Cultural Shift From → To
Designing code → Modeling facts
Focusing on APIs → Focusing on events
Coordinating flows → Reacting to signals
Logging for debug → Emitting traceable events
Calling methods → Publishing events

✅ Summary

  • Event-first design is a cultural and structural mindset across the ConnectSoft platform.
  • It shifts thinking from imperative instructions to reactive, event-aligned modeling.
  • Every major unit (agent, service, blueprint) is expected to emit and consume structured events.

📄 Event as Contract

In ConnectSoft, every event is a contract — a formal, versioned, machine-readable, and testable declaration that something happened.

Events are not just payloads on a message bus. They are:

  • 📦 Modular artifacts
  • 📜 Structured agreements
  • 🧪 Validation points
  • 🧭 Routing signals
  • 🔁 Reusable across services, agents, and workflows

Treating events as contracts enforces decoupling, evolvability, and trust between producers and consumers — whether they are agents, microservices, templates, or coordinators.

🧾 What Is an Event Contract?

An event contract defines:

  • Event name and version (e.g., AppointmentBooked.v1)
  • Schema of the payload (e.g., appointmentId, startTime)
  • Contextual metadata (e.g., traceId, tenantId, projectId)
  • Constraints (e.g., required fields, formats, enums)
  • Ownership and authorship (e.g., agent or domain)

✅ These contracts are stored, versioned, validated, and used to orchestrate flows.

📘 Sample Event Contract

{
  "event": "AppointmentBooked",
  "version": "1.0.0",
  "domain": "Booking",
  "payload": {
    "appointmentId": { "type": "string", "format": "uuid" },
    "startTime": { "type": "string", "format": "date-time" },
    "customerId": { "type": "string" }
  },
  "meta": {
    "traceId": "string",
    "tenantId": "string",
    "emittedBy": "BookingService",
    "agent": "backend-developer"
  }
}

📦 Event Contracts Are Modular

Trait Description
Versioned Breaking changes trigger v2 with compatibility guards.
Validated Payloads are tested against schema before emission.
Observable Used in tracing spans, logs, dashboards.
Routable Message brokers use contract info to deliver to the right consumer.
Reused Same event may be consumed by multiple modules across services and agents.

🧠 Event Contract Repositories in ConnectSoft

Contracts are managed like code modules:

contracts/
├── events/
│   ├── booking/
│   │   ├── appointment-booked.v1.json
│   │   └── appointment-canceled.v1.json
├── observability/
│   └── trace-exported.v1.json
├── governance/
│   └── security-policy-published.v1.json

Each file is:

  • Testable via CI
  • Referenced in blueprints and service definitions
  • Registered with the Event Registry API

🧪 Contract Validation Pipeline

During development or agent execution:

  1. Event schema is loaded from the registry
  2. Payload is validated against the schema
  3. If invalid:
    • Agent is asked to regenerate
    • Orchestrator logs structured failure
  4. If valid:
    • Event is emitted and trace logged
    • Optional simulation phase in sandbox

✅ Ensures runtime safety and schema stability

🧩 Contract-Centric Orchestration

Orchestration flows are bound to contracts:

  • A coordinator waits for BlueprintCreated.v1
  • Agent is only activated on TestSuiteGenerated.v2
  • Test steps are skipped if TraceExported event is malformed

→ This decouples orchestration logic from hardcoded service references.

🧠 Agent Awareness of Contracts

Agents are scoped to event contracts via metadata:

{
  "agent": "qa-engineer",
  "triggeredBy": ["MicroserviceScaffolded.v1", "ApiContractGenerated.v1"],
  "emits": ["TestSuiteGenerated.v1"]
}

Used by:

  • The orchestrator to wire agents into flows
  • The Studio UI to trace who emits what
  • The Event Registry to enforce compatibility

✅ Summary

  • Events in ConnectSoft are contracts — not informal messages
  • They are versioned, validated, discoverable, and composable
  • Treating events as contracts ensures loose coupling, observability, and safe autonomy

🧩 Event Types and Their Roles

ConnectSoft defines a taxonomy of event types, each serving a different strategic and architectural purpose. Understanding these event types is essential to designing modular, reactive systems and enabling intelligent agent orchestration.

Each event type is treated as a first-class contract, versioned and traceable, but categorized by its purpose in the platform’s execution model.

🔖 1. Domain Events

Represent facts that occur within a business domain. They’re emitted by microservices and domain agents and form the backbone of modular service communication.

Examples
AppointmentBooked
InvoicePaid
UserProfileUpdated

Used for:

  • Cross-service communication
  • Aggregates triggering downstream behavior
  • Event sourcing and audit trails

⚙️ 2. Lifecycle Events

Track the software generation lifecycle in the factory — emitted during orchestration, scaffolding, and agent execution.

Examples
ProjectInitialized
VisionDocumentCreated
ServiceBlueprintReady
MicroserviceScaffolded
TestSuiteGenerated

Used for:

  • Triggering agents
  • Advancing coordinator flows
  • Logging and audit

🧠 3. Agent Execution Events

Indicate that a modular AI agent performed or failed a task.

Examples
AgentInvoked
AgentFailed
SkillUsed
AgentOutputGenerated

Used for:

  • Observability and diagnostics
  • Orchestration validation and retry
  • Skill compatibility and fallback logic

📦 4. Infrastructure & Deployment Events

Reflect changes in infrastructure, pipelines, builds, or deployment activities — emitted by DevOps coordinators or environment managers.

Examples
InfraPlanCreated
ServiceDeployed
ReleaseTriggered
PipelineCompleted

Used for:

  • Driving delivery workflows
  • Linking artifacts to environments
  • Alerting or approvals

🔐 5. Security & Governance Events

Capture events related to policies, audits, tenant boundaries, and regulatory enforcement.

Examples
SecurityPolicyPublished
ComplianceAuditCompleted
AccessRevoked
PIIDataAnonymized

Used for:

  • Governance tracking
  • Triggering downstream cleanup or logging
  • Supporting traceable compliance flows

📊 6. Observability & Telemetry Events

Generated by observability modules or instrumentation libraries. Used to trace execution, performance, and agent behavior.

Examples
TraceExported
SpanCompleted
ErrorCaptured
LogStreamRotated

Used for:

  • Tracing and correlation
  • Platform health monitoring
  • Root cause analysis

🔁 7. Control & Feedback Events

Represent decisions, feedback loops, or manual overrides — often emitted from Studio or by end users.

Examples
UserFeedbackSubmitted
OverrideApproved
AgentRetryRequested
BlueprintCorrectionSubmitted

Used for:

  • Re-triggering flows
  • Providing human-in-the-loop context
  • Adaptive evolution of plans and prompts

🧠 Event Type = Role + Routing

All events in ConnectSoft carry metadata that identifies their role and expected consumers:

{
  "event": "BlueprintCreated",
  "type": "lifecycle",
  "context": "booking",
  "version": "1.0.0",
  "emittedBy": "SolutionArchitectAgent",
  "traceId": "abc-123",
  "consumers": ["BackendDeveloperAgent", "QAAssistantAgent"]
}

📌 Summary Table

Event Type Emitted By Purpose
Domain Event Microservice or aggregate Business fact crossing boundaries
Lifecycle Event Coordinator or agent Advance software factory flows
Agent Event Any agent or orchestrator Track agent behavior and errors
Deployment Event DevOps agent Infra changes, pipeline state
Security Event Compliance modules Trace audits, policies, and violations
Observability Event Logging/metrics layer Tracing and diagnostic metadata
Feedback Event User or Studio Feedback and adaptive flow control

✅ Summary

  • ConnectSoft classifies events by semantic role, not just structure.
  • Event types help define who emits, who reacts, and how orchestration flows evolve.
  • Understanding these types is essential to building modular, reactive, and scalable solutions.

📤 Event Emission Patterns

In ConnectSoft, emitting events is a deliberate, modular act — not just a side-effect of completing a task. Whether an agent generates a blueprint or a service confirms an action, every significant state transition or artifact generation is accompanied by an explicitly emitted event.

This ensures that the platform is always observable, composable, and reactive, allowing downstream modules to respond safely and autonomously.

🧠 Core Emission Principle

“If it changes state, creates a meaningful artifact, or affects orchestration — emit an event.”

All event emissions in ConnectSoft are:

  • 🧾 Structured (based on predefined contracts)
  • 🧭 Traceable (with traceId, agentId, module context)
  • 🧪 Validated (schema-verified pre-emission)
  • 🧠 Agent-aware (logged and referenced in agent telemetry)

🧩 Who Emits Events?

Emitter Emitted Events
Agents VisionDocumentCreated, BlueprintGenerated, TestSuiteGenerated, AgentFailed
Microservices AppointmentBooked, InvoicePaid, UserProfileUpdated
Coordinators ModuleCompleted, StageFailed, RetryRequested
DevOps Modules PipelineCompleted, InfraProvisioned, ReleaseTriggered
Studio or CLI UserFeedbackSubmitted, ExecutionCancelled, OverrideApproved

📘 Emission Workflow

  1. Event contract is selected or generated
  2. Payload is created from the output of an agent, service, or coordinator
  3. Trace context is attached (traceId, tenantId, projectId)
  4. Schema validation runs — rejects if invalid
  5. Event is published to the Event Bus
  6. Audit log is updated
  7. Studio dashboard is refreshed

✅ This guarantees all emitted events are verifiable, secure, and observable.

🛠 Emission Code Example (Agent or Service)

var @event = new AppointmentBooked
{
    AppointmentId = Guid.NewGuid(),
    CustomerId = request.CustomerId,
    StartTime = request.StartTime
};

await _eventPublisher.Publish(@event, new EventMetadata
{
    TraceId = context.TraceId,
    EmittedBy = "BookingService",
    Version = "1.0.0"
});

→ Emission is never “fire-and-forget” — it’s structured and traced.

🧠 Emission Patterns

Pattern When to Use
Post-State Mutation Emit event after domain state is modified (e.g., Aggregate.Book() → emit AppointmentBooked)
Artifact-Driven Emit after an artifact is generated (e.g., TestSuiteGenerated after code is scaffolded)
Retry Trigger Emit AgentFailed or ModuleSkipped to resume orchestration
UI/Approval Feedback Emit UserFeedbackSubmitted, OverrideApproved
Heartbeat/Span Output Emit TraceExported, LogWritten on task completion

📦 Event Enrichment

All events are enriched with:

  • agentId or serviceId
  • traceId, sessionId, tenantId
  • componentTag (e.g., BookingService.API)
  • version and schemaUri
  • Optional: reason, errorCode, changeSummary

This powers diagnostics, dependency tracking, and flow reconstruction.

📊 Metrics via Emission

Every emitted event also feeds observability:

  • ✅ AgentCompleted → Prometheus counter: agent_success_total{agent="qa-engineer"}
  • ⏱️ SpanCompleted → duration histogram per skill
  • ⚠️ AgentFailed → alerts on error rate threshold
  • 🔁 ModuleRetried → rollback heatmaps

✅ Summary

  • Emitting an event is a contractual, traceable, and modular act.
  • Every agent, service, and coordinator in ConnectSoft is expected to emit meaningful events after actions or transitions.
  • These events power orchestration, retries, observability, and evolution of the entire system.

📥 Event Consumption Patterns

In ConnectSoft, components don’t call each other directly — they react to events. This decouples producers from consumers and enables scalable, pluggable, and autonomous workflows across the platform.

Whether it’s an agent awaiting a blueprint event or a service reacting to a domain change, event consumers operate on clear, declarative contracts and respond only when relevant events occur.

🧠 Event-Driven Activation Rule

“If you care about an event, subscribe to its contract — not to its producer.”

This pattern ensures that modules only depend on event types, not on who or how they’re emitted.

🧩 Who Consumes Events?

Consumer Type Examples of Subscribed Events
Agents BlueprintCreated, MicroserviceScaffolded, ApiContractGenerated
Microservices AppointmentBooked, InvoiceCreated, CustomerRegistered
Coordinators AgentCompleted, AgentFailed, ArtifactPublished
DevOps Pipelines ServiceReadyForDeployment, InfraPlanCreated
Studio Automation UserFeedbackSubmitted, TestSuiteGenerated, ExecutionFailed

🔁 Subscription Models

✅ Static Subscription

  • Bound to specific event names in metadata
  • Ideal for system-critical flows or agent activations

🔄 Dynamic Subscription

  • Context-aware filtering at runtime (e.g., tenantId, projectId, componentTag)
  • Enables multi-tenant isolation and event scoping

🧪 Pattern-Based Subscription

  • Wildcard or contract-prefix matching
  • E.g., Blueprint*, *Generated, Booking.*

📘 Agent Metadata Subscription Example

{
  "agent": "backend-developer",
  "subscribesTo": [
    "BlueprintCreated",
    "ApiContractGenerated"
  ],
  "filters": {
    "domain": "booking",
    "version": ">=1.0.0 <2.0.0"
  }
}

→ Used by the orchestrator to route only relevant events to this agent.

🛠 Consumption via Code (Service or Agent)

public class AppointmentBookedConsumer : IConsumer<AppointmentBooked>
{
    public async Task Consume(ConsumeContext<AppointmentBooked> context)
    {
        var payload = context.Message;
        await _notificationService.SendConfirmation(payload.AppointmentId);
    }
}

→ Consumers are version-bound, modular units registered via DI and middleware.

🧠 Agent Activation via Events

Agents are triggered only when subscribed events arrive:

  1. Orchestrator receives event from Event Bus
  2. Looks up subscribing agents/coordinators
  3. Instantiates the agent with enriched event context
  4. Executes the appropriate skill(s)
  5. Captures output and emits next event(s)

✅ This flow is composable, replayable, and fully observable.

🧭 Coordinator Reactivation from Events

Coordinators use FSM (finite state machine) patterns:

states:
  waitingForBlueprint:
    on:
      BlueprintCreated: moveTo "scaffolding"
  scaffolding:
    on:
      MicroserviceScaffolded: moveTo "testing"

→ Coordinators resume automatically when relevant events arrive.

🔐 Scoped Event Consumption

Consumption may be restricted by:

  • tenantId (multi-tenant separation)
  • environment (dev, staging, prod)
  • projectId (project boundary)
  • moduleId (component-level scoping)

These filters are defined in orchestrator rules or service configuration.

🔎 Consumption Observability

All consumers emit traces:

{
  "consumer": "qa-engineer",
  "event": "BlueprintCreated",
  "receivedAt": "2025-05-11T14:15:00Z",
  "traceId": "abc-123",
  "processingDurationMs": 420
}

→ Used in Studio dashboards, error recovery, retry diagnostics.

✅ Summary

  • In ConnectSoft, modules react to events, never to each other.
  • Event consumption is contract-based, filterable, and traceable.
  • This enables modular orchestration, tenant isolation, and safe parallelism.

🤖 Agent Activation via Events

In the ConnectSoft AI Software Factory, agents do not run continuously or respond to direct calls. Instead, they are activated dynamically by events — like intelligent functions that awaken only when their input conditions are met.

This event-triggered model allows the platform to remain stateless, efficient, and autonomous, while giving agents precise context to perform scoped tasks.

🧠 Principle: Agents React to Signals, Not Commands

“Agents are activated by meaningful events, not by procedural instructions.”

  • No direct API calls between agents
  • No agent ever pulls for work
  • The event bus is the sole trigger point for agent execution

🧩 How Agent Activation Works

  1. A system component emits an event (e.g., BlueprintCreated)
  2. The Orchestrator matches this event to one or more subscribing agents
  3. The agent is instantiated dynamically, with full trace and input context
  4. The agent executes its designated skill(s)
  5. The agent emits its output and/or downstream events
  6. Orchestrator continues the flow

📘 Real Activation Example

event: BlueprintCreated
agent: Backend Developer Agent
skill: GenerateHandler
inputs:
  - ServiceBlueprint.yaml
outputs:
  - Handler.cs
emits:
  - MicroserviceScaffolded

→ No other coordination is required. The platform routes this flow autonomously.

🔄 Event Activation Flow (Visual)

sequenceDiagram
  participant EventBus
  participant Orchestrator
  participant BackendAgent

  EventBus->>Orchestrator: BlueprintCreated
  Orchestrator->>BackendAgent: Trigger with context
  BackendAgent-->>Orchestrator: MicroserviceScaffolded
  Orchestrator->>EventBus: Publish MicroserviceScaffolded
Hold "Alt" / "Option" to enable pan & zoom

🧠 Activation Context

Agents are injected with rich context from the event:

{
  "event": "BlueprintCreated",
  "projectId": "proj-abc",
  "traceId": "xyz-123",
  "tenantId": "tenant-42",
  "emittedBy": "SolutionArchitectAgent",
  "payload": {
    "serviceName": "BookingService",
    "domain": "Booking"
  }
}

→ Used to tailor prompt inputs, select templates, or scope behavior.

🔎 Skill Routing at Activation

When an agent is activated, it selects the correct skill based on:

  • Event type
  • Domain (e.g., Booking)
  • Target module (e.g., Application, API)
  • Blueprint metadata
  • Agent version and skill manifest

✅ Enables flexible agent reuse across domains and products.

📦 Agents Can Emit Events Too

After activation, the agent may emit:

  • Output event (e.g., TestSuiteGenerated)
  • Failure event (e.g., AgentFailed)
  • Metric/log event (e.g., SkillUsed, SpanCompleted)

→ This extends the event chain and drives downstream logic.

📊 Observability of Activation

Each agent activation is tracked:

{
  "agent": "qa-engineer",
  "triggeredBy": "BlueprintCreated",
  "traceId": "abc123",
  "startTime": "2025-05-11T15:00:00Z",
  "durationMs": 280,
  "status": "Success"
}

Used for dashboards, flow analysis, and retry intelligence.

🧬 Agent-to-Agent Decoupling

Traditional ConnectSoft
Agent A calls Agent B directly Agent A emits event, Agent B subscribes to event
Agents share context manually Context embedded in emitted event
Tight version coupling Versioned event contracts preserve compatibility

→ Agents evolve independently, and new agents can be added without touching emitters.

✅ Summary

  • In ConnectSoft, agents are stateless, event-activated units of intelligence.
  • They are triggered only when the right events occur, with full contextual metadata.
  • This model enables scalability, resilience, and modular coordination across the factory.

🧭 Coordinators and FSMs in Event Context

In ConnectSoft, orchestration is decentralized and event-driven. Rather than relying on imperative scripts or pipelines, the platform uses coordinators — stateful logic controllers modeled as finite state machines (FSMs) that progress by reacting to events.

Coordinators listen for key lifecycle events, maintain flow state, and determine what to trigger next — enabling long-running, fault-tolerant workflows without direct coupling between participants.

🤖 What Is a Coordinator?

A coordinator is a dedicated service or agent responsible for:

  • Managing the execution lifecycle of a modular unit (e.g., microservice, release, documentation)
  • Reacting to incoming events and transitioning to the next state
  • Emitting control events (e.g., RetryRequested, ModuleCompleted, AgentFailed)
  • Invoking other agents or triggering blueprints based on progress

→ Coordinators are purely event-driven FSMs — they do not poll or pull.

🧩 Coordinator Examples

Coordinator Purpose
MicroserviceAssemblyCoordinator Orchestrates blueprint → scaffold → test → commit
ReleaseManagerCoordinator Manages build → release → deploy → notify
DocumentationCoordinator Tracks BlueprintCreated → DocsGenerated → PRSubmitted
TenantBootstrapCoordinator Provisions infrastructure modules and agents per tenant

🧬 Event-Driven FSM Example

states:
  awaitingBlueprint:
    on:
      BlueprintCreated: moveTo scaffolding

  scaffolding:
    on:
      MicroserviceScaffolded: moveTo testing
      AgentFailed: moveTo rollback

  testing:
    on:
      TestSuiteGenerated: moveTo deployment
      AgentFailed: moveTo retry

  deployment:
    on:
      ServiceDeployed: moveTo completed

  completed: {}

✅ This FSM is executed and resumed solely based on incoming events — with zero hard-coded steps.

📘 Event Routing to Coordinators

Each coordinator declares which events it subscribes to:

subscribedEvents:
  - BlueprintCreated
  - MicroserviceScaffolded
  - TestSuiteGenerated
  - AgentFailed
  - ServiceDeployed

Orchestrators use this mapping to route only relevant events to the right flow controller.

🧠 Coordinator State Snapshot

Each coordinator stores current state in a traceable, replayable format:

{
  "traceId": "abc-123",
  "projectId": "proj-789",
  "flow": "MicroserviceAssembly",
  "currentState": "testing",
  "lastEvent": "MicroserviceScaffolded",
  "pending": ["TestSuiteGenerated"],
  "status": "InProgress"
}

→ This enables resumability, observability, and debugging across sessions.

🛡️ Coordinator Resilience

Event-driven FSMs support:

  • 🧪 Retry and backoff on transient agent failures
  • ♻️ Idempotent transitions
  • 🛑 Timeout, halt, or manual intervention on long-running states
  • 🔁 Replay from any point (via persisted traceId and event stream)

🧠 Studio Integration

The Studio UI visualizes FSM flows:

  • Current coordinator state (e.g., scaffolding)
  • Event history per trace
  • Pending vs. completed steps
  • Failure points and retry options
  • Manual override capability (e.g., “Skip step”, “Force transition”)

🔐 Isolation and Modularity

Each coordinator is:

  • Scaled and deployed independently
  • Bound to its own event subscriptions
  • Versioned per flow type
  • Reusable across projects and domains

→ Enables domain-specific orchestration without platform-wide entanglement.

✅ Summary

  • Coordinators in ConnectSoft are event-driven FSMs that manage complex workflows by reacting to events.
  • They provide resilience, modularity, and observability for multi-step flows.
  • All transitions are triggered by meaningful platform events, not imperative logic.

🗺️ Event Topology and Context Mapping

In ConnectSoft, events are not isolated — they form a dynamic, traceable topology of interactions between services, agents, bounded contexts, and domains. This topology defines who emits what, who listens, and how information flows across the entire AI Software Factory.

Understanding and visualizing this event mesh is essential for:

  • 🧠 System comprehension
  • 🔍 Debugging and impact analysis
  • 🧩 Modular service boundaries
  • 📈 Optimization and refactoring
  • 🧠 Blueprint generation and validation

🧬 What Is an Event Topology?

An event topology is the graph of all event relationships in a project or domain:

  • Nodes = modules (services, agents, templates)
  • Edges = events emitted and consumed
  • Context = bounded domain in which they operate

This graph is automatically discovered, rendered, and traced in ConnectSoft.

🧠 Topology Metadata Example

eventTopology:
  - event: AppointmentBooked
    domain: Booking
    version: 1.0.0
    emittedBy: BookingService
    consumedBy:
      - NotificationService
      - AvailabilityService
      - AnalyticsAgent
  - event: MicroserviceScaffolded
    emittedBy: BackendDeveloperAgent
    consumedBy:
      - QAAgent
      - TestGeneratorAgent

→ This metadata is generated at design time and updated at runtime.

📊 Visual Topology Example (Mermaid)

graph TD
  BookingService -- AppointmentBooked --> NotificationService
  BookingService -- AppointmentBooked --> AnalyticsAgent
  BlueprintCreated --> BackendDeveloperAgent
  BackendDeveloperAgent -- MicroserviceScaffolded --> QAAgent
Hold "Alt" / "Option" to enable pan & zoom

→ Viewable in the Studio UI per context, per project, or globally.

🧭 Event Context = Domain + Module

Each event is contextually bound by:

Field Purpose
domain Domain or bounded context (e.g., Booking, Billing)
componentTag Logical name of emitter (e.g., BookingService.Application)
moduleType Microservice, agent, template, coordinator
tenantId Tenant-specific scoping for multi-tenant awareness

This allows:

  • Multi-domain flows to be visualized and scoped
  • Module-specific routing for event delivery
  • Context-aware filtering during orchestration

📦 Context Mapping in Blueprints

Blueprints describe expected event topology:

context: Booking
emits:
  - AppointmentBooked
  - ScheduleBlocked
consumes:
  - UserCreated
  - PaymentConfirmed

✅ Used to validate service boundaries, event reuse, and missing integrations.

🔍 Use Cases for Event Topology

Purpose Description
🔍 Impact analysis Understand who will be affected if AppointmentBooked changes
🧠 Blueprint validation Warn if expected consumers or emitters are missing
📈 Service graph rendering Visualize real-time domain interactions
♻️ Event reuse optimization Detect duplicated events across contexts
🛡️ Security and trust mapping Verify trust boundaries across tenant or domain lines

🧠 Studio Integration

The ConnectSoft Studio provides:

  • Topology graph per domain, module, or project
  • Hoverable links between emitter and consumers
  • Filters by event type, status, error count, and trace volume
  • Recommendations (e.g., "This event is emitted but not consumed")

✅ Summary

  • Event topology defines how modular units interact across the platform.
  • Topologies are derived from design-time metadata and runtime emissions.
  • They empower orchestration, validation, observability, and evolution of modular systems.

📡 Observability of Events

In ConnectSoft, every emitted and consumed event is observable by design. Events are not just signals — they are traceable, auditable, and introspectable artifacts that provide deep insight into the state and behavior of the platform.

This observability is essential for:

  • 🔎 Debugging distributed flows
  • 🧪 Validating agent output
  • 🧭 Auditing decision chains
  • 📈 Measuring performance and latency
  • 🛡️ Enforcing traceability and governance

📦 Event Telemetry Model

Each event emitted in the system carries a rich observability envelope:

{
  "event": "BlueprintCreated",
  "traceId": "abc123",
  "emittedBy": "SolutionArchitectAgent",
  "tenantId": "tenant-x",
  "componentTag": "BlueprintService",
  "timestamp": "2025-05-11T16:20:00Z",
  "deliveryStatus": "Published",
  "latencyMs": 482,
  "payloadSize": 2124,
  "logLevel": "Information"
}

🔍 Traceability Dimensions

Dimension How It’s Tracked
Agent agentId, skillId, agentVersion
Flow traceId, sessionId, fsmId
Module componentTag, moduleType, context
Tenant/Project tenantId, projectId
Timing timestamp, duration, latency, ttl
Status deliveryStatus, errorCode, retryCount

🔁 Observability Pipeline

  1. Event is emitted
  2. Envelope is enriched (agent ID, trace ID, timing, etc.)
  3. Event is published to Event Bus
  4. Simultaneously exported to:
    • OpenTelemetry trace collector
    • Log sink (e.g., Seq, Elasticsearch)
    • Metrics backend (e.g., Prometheus)
    • Audit event store
    • Studio activity feed

🧪 Validation Logs for Agent Events

Every agent emission includes:

  • Skill execution logs
  • Validation status (e.g., schema passed/failed)
  • Regeneration attempts
  • Event-specific metadata (e.g., source file, input size, LLM temperature)
{
  "agent": "qa-engineer",
  "event": "TestSuiteGenerated",
  "traceId": "xyz456",
  "validation": "passed",
  "durationMs": 391
}

📈 Metrics per Event Type

Metric Description
event_emitted_total Counter per event type and emitter
event_delivery_latency_ms Histogram of end-to-end delivery duration
event_error_total Number of failed deliveries or schema mismatches
agent_activation_duration_ms Timing for skill triggered by event

Exposed via Prometheus and visualized in Grafana dashboards.

🧠 Event-Aware Studio UI

The Studio provides:

  • Real-time feed of emitted/received events
  • Search by event, agent, tenant, or traceId
  • Replay or “follow flow” options
  • Highlight failed, retried, or skipped events
  • Event-level diffs across versions

🛡️ Auditability and Compliance

Events are logged with full change history, agent lineage, and timestamp, supporting:

  • 📝 Change audits
  • 🔁 Replayability of decisions
  • 🔐 Regulatory compliance (e.g., PII emissions)
  • 🧾 Event provenance for contract consumers

✅ Summary

  • Every event in ConnectSoft is observable by default, not by manual instrumentation.
  • Observability spans telemetry, logging, metrics, trace context, and auditing.
  • This ensures safe, reliable, and transparent agent and service collaboration at any scale.

🤝 Events in Multi-Agent Collaboration

In ConnectSoft, intelligent agents form a distributed workforce — each with its own responsibilities, skills, and domain scope. What enables them to collaborate without being tightly coupled is a shared, modular language: events.

Events act as the connective tissue that allows agents to coordinate work asynchronously, delegate tasks, chain outputs, and validate progress — all without ever calling each other directly.

🧠 Agent Collaboration Principle

“Agents don’t know each other — they know events.”

  • No RPC or API-based agent-to-agent calls
  • Each agent reacts only to known, meaningful events
  • All communication is event-driven, modular, and loosely coupled

🧩 Collaboration Chain Example

sequenceDiagram
  participant VisionArchitectAgent
  participant ProductManagerAgent
  participant BackendDeveloperAgent
  participant QAAgent

  VisionArchitectAgent->>EventBus: Emit VisionDocumentCreated
  EventBus->>ProductManagerAgent: Activate
  ProductManagerAgent->>EventBus: Emit ProductPlanCreated
  EventBus->>BackendDeveloperAgent: Activate
  BackendDeveloperAgent->>EventBus: Emit MicroserviceScaffolded
  EventBus->>QAAgent: Activate
Hold "Alt" / "Option" to enable pan & zoom

✅ This chain can be extended or reconfigured at any point — simply by listening to or emitting additional events.

📘 Agent Skill and Event Mapping

Each agent declares its skill-to-event mapping:

{
  "agent": "backend-developer",
  "skills": [
    {
      "id": "GenerateHandler",
      "triggeredBy": "BlueprintCreated",
      "emits": "MicroserviceScaffolded"
    }
  ]
}

→ This enables dynamic activation, version matching, and orchestration flexibility.

🧬 Multi-Agent Collaboration Patterns

Pattern Description
Sequential Chain Each agent emits the event that activates the next
Fan-Out One event activates multiple agents in parallel (e.g., MicroserviceScaffolded → QA, Docs, CI)
Watcher Agent listens for events in a domain and performs background tasks (e.g., optimization, refactoring)
Validator Agent reacts to emitted artifacts to verify and annotate them (e.g., test coverage, contract validation)
Fallback Handler Secondary agent activates on AgentFailed to attempt recovery or alternative output

🔁 Dynamic Substitution of Agents

Since agents collaborate via events:

  • A new agent can be introduced without changing emitters
  • An old agent can be retired or downgraded without breaking the chain
  • Agents with similar skills can be rotated or A/B tested

✅ This creates a plug-and-play system for intelligent modular workflows.

📊 Studio Collaboration Graphs

The ConnectSoft Studio visualizes agent collaboration as:

  • A DAG (directed acyclic graph) of event-based interactions
  • Hoverable skill flows with agent metadata
  • Execution times, failure points, and retries
  • Insights like “Which agent produced the most rework?” or “Who failed the most often?”

🧠 Agent-to-Agent Agreements via Events

Agents do not share internal formats — they agree via:

  • Event contracts (schema + version)
  • Blueprint artifacts (YAML, Markdown, JSON)
  • Trace context (traceId, skillId, projectId)

This ensures that outputs are stable, observable, and cross-agent compatible.

✅ Summary

  • Events are the only mechanism through which agents collaborate in ConnectSoft.
  • This enables loose coupling, dynamic workflows, failure isolation, and skill reusability.
  • Agent teams evolve organically — as long as the event contract remains stable.

🔁 Event Retry, Idempotency, and Deduplication

In an event-driven architecture like ConnectSoft, reliability requires defensive patterns. Since events are asynchronous, distributed, and potentially delayed or replayed, every consumer — whether a service or an agent — must be prepared to:

  • Retry on failure
  • Ignore duplicates
  • Execute idempotently

These principles ensure that the system remains robust, self-healing, and trace-consistent, even under load, partial failure, or event replay.

🧠 Core Reliability Principles

Principle Definition
Retry Re-attempt the consumption or processing of a failed event
Idempotency Processing the same event multiple times has no side effects
Deduplication Detect and ignore repeated deliveries of the same event

🔄 Retry Patterns in ConnectSoft

1. Agent Retry

  • If an agent fails (e.g., LLM timeout, invalid output), the orchestrator retries based on policy
  • Retries include context like attemptNumber, lastError, previousOutputHash

2. Message Retry

  • Message queues (e.g., MassTransit, Azure Service Bus) implement exponential backoff
  • Transient errors (network, serialization, schema load) are retried automatically

3. Coordinator-Based Retry

  • Coordinators resume workflows from last known state upon AgentFailed, with re-emission logic

♻️ Idempotency Rules

Every agent or service must process an event exactly once, even if delivered multiple times.

Best Practices:

Pattern Description
Deterministic Output Use same input → same output logic; no random side-effects
Output Hashing Emit artifact only if output has changed
Semantic Locking Prevent concurrent re-processing of the same traceId + moduleId
Idempotency Keys Store processed eventId or artifactId in a cache/log to prevent re-execution

🧾 Deduplication Metadata Example

{
  "event": "TestSuiteGenerated",
  "eventId": "evt-xyz-123",
  "traceId": "abc456",
  "agentId": "qa-engineer",
  "deduplicationKey": "abc456:TestSuiteGenerated:v1"
}

Used by orchestrator to skip duplicate execution or trigger fast-fail handling.

🔐 Delivery Guarantee and Safety

Guarantee Mechanism
At-Least-Once Delivery All event systems in ConnectSoft prioritize reliability over minimalism
Exactly-Once Processing (logical) Idempotent consumer logic ensures safe replay
Dead Letter Queues (DLQ) Unrecoverable failures are routed to DLQ for later analysis or manual resolution
Retry-After Event Optional AgentRetryRequested or RetryScheduled event emitted on failure

📊 Retry Telemetry and Insights

Every retry is logged:

{
  "agent": "backend-developer",
  "skill": "GenerateHandler",
  "event": "BlueprintCreated",
  "retryCount": 2,
  "lastError": "Invalid schema format",
  "status": "success_after_retry"
}

✅ Visualized in Studio dashboards, with heatmaps for frequent failure zones.

🧠 Example: Agent Retry Flow

sequenceDiagram
  participant EventBus
  participant Orchestrator
  participant BackendAgent

  EventBus->>Orchestrator: BlueprintCreated
  Orchestrator->>BackendAgent: Trigger
  BackendAgent-->>Orchestrator: Error (invalid handler format)
  Orchestrator->>EventBus: Emit AgentFailed
  Orchestrator->>BackendAgent: Retry (attempt 2)
  BackendAgent-->>Orchestrator: Emit MicroserviceScaffolded
Hold "Alt" / "Option" to enable pan & zoom

✅ Summary

  • Retry, idempotency, and deduplication are essential to safe event consumption.
  • All agents and services in ConnectSoft are built to resist double-processing and transient failures.
  • The platform automatically retries, logs, and tracks every failed or reprocessed event.

🧬 Event Versioning and Compatibility

In ConnectSoft, events are treated as immutable contracts. But as systems evolve, these contracts must change — fields may be added, renamed, deprecated, or split across services. To ensure that the platform continues to operate safely at scale, ConnectSoft enforces strict event versioning rules that preserve compatibility and enable gradual evolution.

“Events never change — only their versions do.”

📦 Versioned Event Contracts

Each event has a semantic version associated with its schema:

{
  "event": "AppointmentBooked",
  "version": "1.2.0",
  "domain": "Booking",
  "schemaUri": "contracts/events/booking/appointment-booked.v1.2.0.json"
}

Versions are incremented using SemVer:

  • MAJOR → Breaking change (e.g., rename or remove a required field)
  • MINOR → Backward-compatible additions (e.g., optional field added)
  • PATCH → Metadata update (e.g., clarifying comments, format annotations)

🔁 Evolution Without Breakage

Producers (e.g., services, agents) and consumers (e.g., other agents, pipelines) may be on different versions. Compatibility is ensured through:

  • Version-aware consumers: Subscribe only to known event versions
  • Schema validation: Enforced at runtime based on subscribed version
  • Transitional version support: Coordinators support multiple branches of logic per version
  • Versioned routing: Event Bus routes to consumers based on event + version

📘 Blueprint Example with Event Versions

emits:
  - name: AppointmentBooked
    version: 1.0.0
consumes:
  - name: UserRegistered
    version: ">=1.0.0 <2.0.0"

✅ Prevents accidental use of incompatible schemas.

🧠 Multi-Version Coexistence

Multiple versions of the same event can exist simultaneously:

Scenario Resolution
Agent A emits AppointmentBooked.v1.2.0 Service B still consumes v1.0.0
Studio UI shows both versions Each with distinct schema and consumers
Coordinators branch FSM logic by version Maintain legacy and next-gen workflows in parallel

→ This enables graceful upgrades and phased rollouts.

📜 Deprecated vs. Retired

Status Meaning
Stable Production-grade, actively used
Deprecated Supported but not recommended for new consumers
Retired Archived; orchestration fails if consumed

These statuses are enforced by the Event Registry API, visible in Studio, and validated during blueprint linting.

🔍 Event Version Diff Tool

ConnectSoft includes tooling to:

  • View schema diffs between versions
  • Detect breaking changes
  • Simulate compatibility with mock consumers
  • Annotate changelogs (added, deprecated, migrated, removed)
csft events diff appointment-booked@1.1.0 appointment-booked@1.3.0

🔐 Versioning Governance Policies

Policy Description
✅ Additive changes allowed in MINOR updates
❌ Field renames/removals require MAJOR bump
🔁 Deprecation must span 2 stable versions
🔍 Studio alerts on consumers of deprecated events
🧪 Contracts tested in CI using JSON Schema validators

✅ Summary

  • Events in ConnectSoft are semantically versioned contracts.
  • Compatibility is maintained through multi-version awareness, schema validation, and tooling.
  • Safe evolution is built into the platform, enabling agents and services to move at different speeds.

🧪 Event-Based Testing and Simulation

In ConnectSoft, testing is event-centric. Since the platform is built on asynchronous, decoupled event flows, traditional unit testing is not enough. Instead, the platform supports event-based testing — validating that components behave correctly when specific events are emitted or consumed.

This enables safe evolution, contract assurance, and simulation of orchestrated workflows before real execution.

🧠 Why Event-Based Testing?

Goal Event-Centric Strategy
Verify agent behavior Simulate input events, assert emitted events and artifacts
Validate event contracts Run schema checks, required field enforcement
Test orchestration logic Replay events to confirm FSM state transitions
Ensure consumer readiness Emit versioned test events against real service
Enable sandbox simulation Trigger full modular flows without committing changes

🧩 Testing Types

Type Description
Event Contract Testing Ensures schema validity and backward compatibility of event structure
Agent Simulation Emits a triggering event and validates agent outputs and follow-up emissions
FSM Replay Testing Sends a sequence of events to a coordinator and verifies expected transitions
Consumer Verification Tests if a service properly consumes and processes a specific event
End-to-End Scenario Replays a full orchestration flow in a simulated environment

📘 Example: Agent Simulation Test

testCase:
  name: "BlueprintCreated triggers Backend Developer Agent"
  inputEvent:
    event: BlueprintCreated
    version: 1.0.0
    payload:
      serviceName: "BookingService"
      context: "Booking"
  expectedOutputs:
    - event: MicroserviceScaffolded
    - artifact: "BookingService/Application/BookAppointmentHandler.cs"

✅ Executed by the agent test runner with result and diff reports.

🔁 Replay-Based Orchestration Testing

Coordinators can be tested with full event sequences:

testFlow:
  name: "Microservice Assembly Flow"
  events:
    - ProjectInitialized
    - VisionDocumentCreated
    - BlueprintCreated
    - MicroserviceScaffolded
    - TestSuiteGenerated
  expectedFinalState: completed

→ Ensures FSMs behave as expected even with out-of-order or delayed inputs.

📦 Contract Testing in CI/CD

Each event contract is validated in pipelines:

  • ✅ Valid JSON Schema structure
  • 🧪 Passes all required fields + type constraints
  • 🔁 Compatibility check with last stable version
  • 📊 Change log generated automatically
jobs:
  - job: ValidateEvents
    steps:
      - script: csft events validate contracts/events/**/*.json

🧪 Event Mocks and Fixtures

Test harnesses support reusable mock events:

{
  "event": "AppointmentBooked",
  "version": "1.0.0",
  "payload": {
    "appointmentId": "123",
    "startTime": "2025-06-01T14:00:00Z",
    "customerId": "cust-456"
  }
}

→ Used for test generators, integration testing, and agent dry runs.

🧠 Studio Simulation Mode

The ConnectSoft Studio offers:

  • Sandbox mode: Replay events without committing changes
  • Mock event generator: Create test cases from blueprints
  • Flow debugger: Visualize event chain and compare expected vs. actual states
  • Skill output comparison: Agent skill regression testing via snapshot diffs

📊 Test Result Telemetry

All event-based tests emit:

  • traceId, agentId, testCaseId
  • resultStatus, duration, errors, diffs
  • Linked artifacts or failed fields
  • Aggregated reports for dashboards

✅ Summary

  • Event-based testing validates agent, coordinator, and service behavior using realistic event flows.
  • The platform supports contract checks, agent simulation, FSM replay, and full E2E validation.
  • This testing model ensures ConnectSoft stays safe, evolvable, and composable even across asynchronous systems.

🚀 Events in CI/CD Pipelines and Automation

In ConnectSoft, CI/CD is not a static YAML script — it’s a reactive system driven by events. Pipelines, jobs, and tasks are modularly triggered, composed, and adapted in response to emitted platform events.

This event-driven CI/CD model allows ConnectSoft to:

  • Automate flows across projects, agents, and environments
  • Dynamically adjust pipelines per module, tenant, or context
  • Handle agent-generated artifacts without static coupling
  • Enable zero-touch, context-aware delivery automation

🧠 Event-Driven CI/CD Principle

“Build what changed, deploy what completed, retry what failed — all triggered by events.”

🧩 Events That Drive Pipelines

Event CI/CD Action
BlueprintCreated Trigger scaffolding and build steps
MicroserviceScaffolded Launch agent-driven tests and container builds
TestSuiteGenerated Run SpecFlow tests and publish results
ServiceDeployed Emit ReleaseVerified or trigger downstream deploys
AgentFailed Trigger rollback, retry, or notify Studio
ArtifactPublished Run release pipeline with changelog generation

🔁 Dynamic Job Injection Based on Events

jobs:
  - job: Build
    condition: contains(triggeringEvent, 'MicroserviceScaffolded')
    steps:
      - script: dotnet build src/${{ parameters.service }}.sln

  - job: Deploy
    condition: and(succeeded(), eq(triggeringEvent, 'ReleaseTriggered'))
    steps:
      - script: ./scripts/deploy.sh --env dev

✅ The same pipeline template is reused across projects — event payload drives behavior.

📘 Event-Driven Pipeline Registry

The CI system subscribes to specific lifecycle events:

eventSubscriptions:
  - event: MicroserviceScaffolded
    handler: build-service.yml
  - event: TestSuiteGenerated
    handler: run-tests.yml
  - event: ReleaseTriggered
    handler: deploy-service.yml

→ This enables pluggable, cross-project, event-to-pipeline routing.

🧠 Example: Full Pipeline Trigger Chain

sequenceDiagram
  participant BlueprintAgent
  participant EventBus
  participant CI/CD System

  BlueprintAgent->>EventBus: Emit BlueprintCreated
  EventBus->>CI/CD System: Trigger pipeline
  CI/CD System->>EventBus: Emit BuildCompleted
  EventBus->>QA Agent: Activate
  QA Agent->>EventBus: Emit TestSuiteGenerated
  EventBus->>CI/CD System: Run Test Pipeline
Hold "Alt" / "Option" to enable pan & zoom

→ Events keep agents, orchestrators, and CI/CD in perfect sync.

🛠️ Modular CI/CD Templates

Every service and template includes reusable CI modules:

.ci/
├── templates/
│   ├── build.yml
│   ├── test.yml
│   └── deploy.yml
├── service-a/
│   └── ci-config.yaml

These templates respond to event context (e.g., tenantId, projectId, moduleType).

📦 Artifact and Version Handling

Each pipeline step emits metadata:

{
  "artifactId": "BookingService:v1.2.0",
  "generatedBy": "backend-developer@1.9",
  "traceId": "xyz-456",
  "triggeredByEvent": "BlueprintCreated",
  "timestamp": "2025-05-11T17:00:00Z"
}

→ Enables downstream systems to validate, deploy, or monitor.

📊 Pipeline Telemetry via Events

CI/CD actions emit events for observability:

Emitted Event Description
PipelineStarted New pipeline run for a given event
BuildCompleted Successful build of service/artifact
ReleaseTriggered Service is now deployable
ArtifactPublished Artifact available in registry
PipelineFailed Retry coordinator or notify Studio

🧠 Studio CI View

Studio shows per-module pipelines as event flows:

  • Triggering event
  • Job statuses (e.g., build, test, deploy)
  • Artifact versions and consumers
  • Retry options
  • Time to deploy from first event

✅ Summary

  • ConnectSoft uses event-triggered CI/CD instead of static pipelines.
  • Every stage — build, test, deploy — is activated by meaningful lifecycle events.
  • This enables modular automation, scalability, and observability of software delivery.

🔐 Event Security and Trust Boundaries

In ConnectSoft, events flow across agents, services, tenants, and infrastructure — but not all events are equal in trust or sensitivity. To ensure safe and compliant execution, the platform enforces strict security policies around event emission, routing, and consumption.

These safeguards protect against:

  • Unauthorized agent execution
  • Cross-tenant data leakage
  • PII exposure
  • Replay attacks
  • Malicious or malformed events

🧠 Security Principle

“Events are public facts — but their origin, intent, and context must be verifiable and scoped.”

🔐 Event Metadata for Security

Each emitted event includes a security envelope:

{
  "event": "AppointmentBooked",
  "version": "1.0.0",
  "traceId": "abc123",
  "emittedBy": "BookingService",
  "agentId": "backend-developer",
  "tenantId": "tenant-001",
  "projectId": "proj-789",
  "signedBy": "ConnectSoft.Identity.Signer",
  "scope": ["booking.read", "booking.write"]
}

This metadata enables routing, filtering, audit, and enforcement across the platform.

🧭 Trust Boundaries

Boundary Risk Protection
Tenant Cross-tenant data leakage tenantId validation on consume/emit
Domain Misrouting of sensitive data context and moduleType tagging
Environment Accidental prod/test cross-pollination environment filter on orchestrators and agents
Agent Permissions Unauthorized skill execution Scope claims per event and agent
Replay Attacks Reprocessing harmful data TTL, eventId hash checks, and signature timestamps

🔒 Signature & Verification

Events may be digitally signed by emitting agents or services:

  • Payload hash is signed with a private key
  • Signature is embedded as a header (e.g., JWS)
  • Consumers verify signature using public keys from a trusted key store

✅ Used for sensitive events like UserProfileUpdated, PIIDataAnonymized, SecurityPolicyPublished.

🧩 Role of the Security Engineer Agent

This agent:

  • Scans all event contracts for PII, secret fields, or dangerous exposure
  • Injects runtime signature/encryption policies
  • Validates that tenantId, projectId, and traceId are always present
  • Emits SecurityPolicyPublished when a new event crosses a boundary or contains sensitive fields

🧪 Schema Enforcement for Sensitive Fields

The platform requires annotation of security-critical fields:

{
  "field": "email",
  "type": "string",
  "sensitive": true,
  "masking": "email",
  "required": true
}

→ Enables redaction in logs, masking in Studio, and DLP integration.

📊 Observability for Security Events

Security-aware telemetry includes:

Metric Description
event_unsigned_total Count of events emitted without valid signature
event_cross_tenant_blocked_total Events dropped due to tenant mismatch
agent_unauthorized_activation_total Unauthorized agent trigger attempts
pii_event_emitted_total Track flow of sensitive events across domains

Studio shows real-time trust graphs, warnings, and compliance dashboards.

🔐 Event Access Control

Each event type has an access policy:

event: AppointmentBooked
access:
  emit: [BookingService, BackendDeveloperAgent]
  consume: [NotificationService, AnalyticsAgent]
  scopes:
    - booking.write
    - tenant:read
    - appointment:created

✅ Enforced at runtime using the Event Bus, orchestrator, and skill router.

✅ Summary

  • ConnectSoft enforces strong trust boundaries on event flows, especially across tenants and domains.
  • Events include security metadata, are optionally digitally signed, and are governed by access policies.
  • These safeguards protect against leakage, misuse, and unauthorized execution, ensuring enterprise-grade safety.

⚠️ Anti-Patterns in Event-Driven Systems

While the event-driven mindset unlocks scalability, autonomy, and observability, it also introduces new risks when misunderstood or misapplied. In ConnectSoft, we actively document and defend against anti-patterns that can compromise modularity, traceability, or system stability.

🧠 Principle

“Emit only what matters, consume only what you own, and never depend on timing.”

❌ 1. Chatty Events

Symptom: Emitting excessive, low-value events like StepStarted, FieldUpdated, or ProgressTicked.

Consequence:

  • Pollutes the event stream
  • Overloads consumers with noise
  • Increases storage and trace cost

✅ Fix: Emit only high-value, semantic transitions. Use metrics/logs for internal progress.

❌ 2. Event Coupling by Payload

Symptom: Designing consumers that rely on specific field values, ordering, or nested structures.

Consequence:

  • Breaks when event schema evolves
  • Implicit contract leads to fragile consumers

✅ Fix: Depend on explicit event contracts, not inferred payload semantics.

❌ 3. Command-over-Event

Symptom: Using events like DoX, TriggerY, or ForceRestart to initiate behavior.

Consequence:

  • Violates the immutability and descriptive nature of events
  • Couples emitter and consumer behavior tightly

✅ Fix: Events should describe facts, not instruct actions. Prefer declarative names like BlueprintCreated.

❌ 4. Hidden Side-Effects in Consumers

Symptom: Event handlers mutate unrelated systems or services as side effects.

Consequence:

  • Difficult to debug and trace
  • Produces unexpected or cascading failures

✅ Fix: Consumers should act on owned state and emit follow-up events to delegate further processing.

❌ 5. Circular Event Flows

Symptom: Event A triggers B, which eventually re-triggers A — forming a loop.

Consequence:

  • Leads to infinite retries, message storms, or state corruption

✅ Fix: Use flow guards and traceId lineage to detect and halt feedback loops.

❌ 6. Lack of Idempotency

Symptom: Consumers reprocess duplicate events with different outcomes (e.g., duplicating records).

Consequence:

  • Double billing, conflicting state, corruption

✅ Fix: Enforce idempotent handlers and deduplication using eventId or traceId.

❌ 7. Version Drift Without Contracts

Symptom: Changing event structure or naming without updating or versioning the contract.

Consequence:

  • Consumer breakage
  • Undetected errors
  • EventBus misrouting

✅ Fix: Use semantically versioned contracts, diff tooling, and compatibility validators.

❌ 8. Missing Context in Events

Symptom: Events lack traceId, tenantId, projectId, or agentId.

Consequence:

  • Cannot route, audit, or correlate actions
  • Lost visibility across domains

✅ Fix: Enforce enriched metadata envelopes across all emissions.

📋 Summary Table of Anti-Patterns

Anti-Pattern Consequence Recommended Fix
Chatty Events Signal noise Emit only significant transitions
Payload Coupling Fragile consumer logic Depend on versioned contracts
Command-as-Event Tight coupling, misuse of events Emit descriptive facts, not actions
Side-Effect Consumers Untraceable behavior Use follow-up events
Circular Flows Infinite loops, stack overflow Add cycle detection with traceId
Non-Idempotent Handlers Double-processing bugs Use idempotency keys or guards
Version Drift Consumer breakage Follow SemVer and CI schema checks
Missing Metadata Unroutable or unauditable events Always emit with full trace context

✅ Summary

  • The power of events requires discipline — especially around contracts, scope, and behavior.
  • ConnectSoft enforces best practices through tooling, metadata, schema validation, and governance.
  • Avoiding these anti-patterns ensures clean modular interaction, safe evolution, and trustable automation.

✅ Summary and Event-Driven Best Practices

The event-driven mindset is foundational to how ConnectSoft operates, scales, and evolves. It empowers agents to collaborate, services to stay decoupled, and flows to react to change — all through a shared language of semantic events.

Through this documentation journey, we've defined the why, how, and what of event-driven architecture at the platform level, agent level, and domain level.

🧠 Core Benefits of the Event-Driven Mindset

Area Benefit
Autonomy Agents and services operate independently, triggered only when needed
Scalability Thousands of workflows execute in parallel via event streams
Observability Every action is traceable via emitted, logged, and versioned events
Modularity Systems are assembled and coordinated through event contracts, not hardcoded flows
Resilience Failures are isolated and recoverable through retries and resumable orchestrators
Governance Events carry tenant, context, and trace metadata for full auditability

📋 Event-Driven Best Practices Checklist

🔖 Event Modeling

  • ✅ Model events first when designing services or agent outputs
  • ✅ Name events using past-tense, fact-based language (e.g., AppointmentBooked)
  • ✅ Treat events as contracts, not just messages

📦 Contract Design

  • ✅ Use semantic versioning for all event schemas
  • ✅ Include required metadata: traceId, tenantId, projectId, agentId
  • ✅ Annotate PII or sensitive fields for masking and security

⚙️ Emission & Consumption

  • ✅ Emit only meaningful state transitions or artifact completions
  • ✅ Design idempotent consumers with deduplication guards
  • ✅ Never rely on event arrival order

🔁 Resilience Patterns

  • ✅ Enable retry with backoff on transient failures
  • ✅ Emit AgentFailed, RetryScheduled, or Skipped explicitly
  • ✅ Resume orchestrators using event-based FSM snapshots

🧩 Tooling & Observability

  • ✅ Visualize flows using event topologies in Studio
  • ✅ Monitor event metrics: latency, failure rates, delivery success
  • ✅ Test event flows using mock emissions and replay simulation

🔐 Security & Boundaries

  • ✅ Sign and verify events crossing tenant or domain boundaries
  • ✅ Route events using metadata scopes and trust policies
  • ✅ Use access control on emit/consume permissions

🛡️ Avoid Anti-Patterns

  • ❌ No chatty, low-value events
  • ❌ No procedural commands disguised as events
  • ❌ No tight coupling to payload structure or emitters
  • ❌ No uncontrolled event loops

🧠 Final Thought

“In ConnectSoft, events are not implementation details — they are the API of autonomy.”

Every coordination, every AI trigger, every contract — is expressed and managed through events. This is what allows the factory to scale intelligently, safely, and modularly.