ProjectBootstrapOrchestrator¶
Overview¶
The ProjectBootstrapOrchestrator is responsible for provisioning all foundational Azure DevOps (ADO) resources required to support a new software factory project after the project has been initialized by the ProjectInitiator.
Once the ProjectInitialized event is emitted, this coordinator orchestrates the automated creation and configuration of:
- The Azure DevOps Project (organization-level container for pipelines, boards, repos)
- One or more Git repositories for services, libraries, documentation, infrastructure
- Service connections to Azure subscriptions, container registries, or external systems
- Shared pipeline templates, variable groups, environment approvals
- Boards, epics, iteration paths, and DevOps team mappings (if required)
- Project traceability anchors, ensuring Git, pipelines, and boards are linked to the root
project_idandtrace_id
Its role is to establish the operational backbone for the agents and coordinators that follow, making sure there is a reliable, traceable DevOps environment ready before any code is generated or deployed.
By centralizing this bootstrap logic, the ConnectSoft AI Software Factory maintains consistency, reusability, security hardening, and compliance enforcement across all generated projects — regardless of scale or industry.
Position in the Execution Flow¶
The ProjectBootstrapOrchestrator is the second coordinator in the ConnectSoft AI Software Factory orchestration lifecycle. It is triggered immediately after the ProjectInitiator emits the ProjectInitialized event.
This coordinator belongs to the Project Initialization phase, sitting at the junction between intent capture and infrastructure preparation. Its primary responsibility is to prepare the foundational Azure DevOps environment — before any blueprints, code, or service generation begins.
📌 Dependencies:¶
- Upstream:
ProjectInitiator - Downstream:
MicroserviceAssemblyCoordinator,PipelineGenerator,DevOpsAgentCoordinator, and any agents requiring DevOps context
🚀 What it unlocks:¶
- Agent commits to Git repositories
- Pipeline execution and variable injection
- Secure DevOps service connections
- Boards and traceability links to planning
flowchart TD
ProjectInitiator -->|ProjectInitialized| ProjectBootstrapOrchestrator
ProjectBootstrapOrchestrator --> DevOpsArtifactsReady
ProjectBootstrapOrchestrator --> MicroserviceAssemblyCoordinator
ProjectBootstrapOrchestrator --> PipelineGenerator
ProjectBootstrapOrchestrator --> DevOpsAgentCoordinatorThis orchestrator ensures the factory can operate securely, traceably, and repeatably across multiple agents and projects.
Responsibilities¶
The ProjectBootstrapOrchestrator is responsible for setting up the entire DevOps foundation required to execute all downstream AI-driven development and deployment workflows.
It acts as a DevOps initializer and scaffold coordinator, ensuring that all Azure DevOps (ADO) components are created, connected, and traceable. This allows the rest of the software factory to operate seamlessly.
Core Responsibilities¶
- ✅ Create a new Azure DevOps Project for the current software factory session.
- ✅ Initialize Git repositories for:
- Microservices
- Shared libraries
- Infrastructure-as-code (IaC)
- Documentation (MkDocs, API specs)
- ✅ Create service connections (e.g., Azure Resource Manager, Container Registry).
- ✅ Generate variable groups for CI/CD and environment-sensitive parameters.
- ✅ Scaffold YAML pipeline library templates to be reused by generated services.
- ✅ Configure traceability anchors for:
project_idtrace_id- repo → service → artifact mapping
- ✅ Set up basic work item hierarchies (Epics, Features) and boards (optional).
- ✅ Emit the
DevOpsArtifactsReadyevent to unlock downstream coordinators and agents.
Phase-Specific Duties¶
| Phase | Duties |
|---|---|
| Init | Connect to ADO, authenticate, reserve namespace |
| Provision | Create ADO project, pipelines, repos, connections |
| Configure | Inject trace metadata, default YAML templates, environments |
| Emit | Trigger next stage by publishing DevOpsArtifactsReady |
Triggering Events¶
The ProjectBootstrapOrchestrator is activated by a clearly defined system event that signals the successful initialization of a new software factory project.
🚦 Primary Triggering Event¶
ProjectInitialized
This event is emitted by the ProjectInitiator and contains essential metadata required to provision the DevOps foundation.
🔄 Optional Triggers (Rehydration / Reentry Scenarios)¶
RetryProjectBootstrap— used if the initial DevOps setup fails or is manually resetReconfigureDevOpsContext— used when an update to environments, repos, or pipelines is needed post-creation
🧠 Event Payload Fields (simplified)¶
| Field | Type | Description |
|---|---|---|
project_id |
string | Unique project identifier |
trace_id |
string | Orchestration trace ID |
projectName |
string | Human-friendly project name |
organization |
string | Azure DevOps organization |
requestedRepos[] |
string[] | List of repositories to initialize |
useDefaultPipelines |
bool | Whether to scaffold default pipeline templates |
runtimeEnvironment |
string | Initial runtime context (dev/test/staging) |
This design ensures the ProjectBootstrapOrchestrator is fully event-driven, stateless, and idempotent — allowing retries, restarts, and audits at any point in the project lifecycle.
Inputs¶
The ProjectBootstrapOrchestrator requires a set of structured inputs to successfully provision and configure the Azure DevOps project environment.
These inputs are typically derived from the ProjectInitialized event and earlier orchestration context.
📥 Required Inputs¶
| Input | Type | Description |
|---|---|---|
project_id |
string | Unique identifier for the current project session. |
trace_id |
string | Root orchestration trace ID for correlation and observability. |
projectName |
string | Human-readable project name (used in ADO project and repo names). |
organization |
string | Azure DevOps organization where the project should be created. |
requestedRepos[] |
list | Array of repository identifiers to provision (e.g., ["claims-service", "policy-lib"]). |
pipelineTemplateId |
string | Optional: Template ID for preconfigured pipeline library to include. |
azureSubscriptionId |
string | ID of the Azure subscription to link via service connection. |
containerRegistryName |
string | Optional: Name of ACR instance to link with ADO. |
runtimeEnvironment |
string | Name of the default environment (e.g., development). |
useDefaultBoards |
boolean | Whether to create boards, epics, iteration paths by default. |
🔍 Contextual Inputs (Optional or Derived)¶
| Input | Type | Description |
|---|---|---|
edition_id |
string | If set, enables edition-specific DevOps configuration. |
initiatedBy |
string | Username or agent that initiated the project. |
projectTags[] |
list | Optional: Tags used for classifying project purpose or industry. |
These inputs allow the coordinator to standardize the DevOps project layout while also supporting edition-specific overrides, industry templates, and custom infrastructure footprints.
Outputs¶
After executing its orchestration flow, the ProjectBootstrapOrchestrator produces several events, artifacts, and traceable configurations that unlock downstream agents and coordinators.
These outputs are consumed by:
- Code generation coordinators (MicroserviceAssemblyCoordinator)
- Pipeline generators
- Agents needing access to DevOps infrastructure
📤 Primary Outputs¶
| Output | Type | Description |
|---|---|---|
DevOpsArtifactsReady |
Event | Emitted after all Azure DevOps resources are successfully provisioned. |
ProjectBootstrapManifest |
Artifact | JSON or YAML document detailing provisioned project components. |
RepoMetadata[] |
Artifact | List of initialized Git repositories with URLs and mappings. |
PipelineLibraryTemplate |
Artifact | Reference to reusable pipeline template included in all repos. |
ServiceConnectionInfo |
Artifact | Details of provisioned service connections (Azure, ACR, etc). |
🔗 Event: DevOpsArtifactsReady¶
This is the primary event that allows the next stage of factory execution to proceed. It typically contains:
{
"project_id": "abc-123",
"trace_id": "xyz-456",
"repos": [
{ "name": "claims-service", "url": "https://dev.azure.com/.../claims-service.git" },
{ "name": "policy-lib", "url": "..." }
],
"pipelines": ["shared-ci-template.yml"],
"env": "development"
}
This output structure ensures consistent traceability, GitOps integration, and reusability across all generated services and workflows.
Collaborating Agents¶
The ProjectBootstrapOrchestrator relies on several AI agents and utility components to fulfill its provisioning and configuration responsibilities. These agents are orchestrated either in sequence or in parallel depending on the project scope and requested resources.
🧠 Key Collaborating Agents¶
| Agent | Role |
|---|---|
DevOps Provisioning Agent |
Executes Azure DevOps API operations to create projects, repos, pipelines. |
GitOps Agent |
Initializes Git repositories and injects boilerplate structure. |
Pipeline Library Agent |
Generates or reuses YAML pipeline templates across all repos. |
Secrets Provisioning Agent |
Establishes service connections and stores secrets (e.g., Azure, ACR). |
Traceability Agent |
Registers project ID and trace metadata across all resources. |
Edition Config Agent (optional) |
Applies edition-specific overrides if project is scoped to a particular edition. |
These agents interact with the coordinator via semantic tasks or direct event calls. The orchestrator is responsible for sequencing these agents, validating outputs, and retrying or escalating if failures occur.
🔁 Typical Execution Order¶
Traceability Agent– seedtrace_id,project_idDevOps Provisioning Agent– create project, repos, environmentsSecrets Provisioning Agent– add service connections and variablesPipeline Library Agent– inject CI templatesGitOps Agent– initialize Git repos and commit scaffolds- Emit
DevOpsArtifactsReadyfor downstream flow
This distributed agent model enables modularity, parallelism, and plug-in extensibility for supporting different cloud or DevOps providers.
System Prompt¶
The ProjectBootstrapOrchestrator uses structured semantic instructions when delegating tasks to AI agents such as the DevOps Provisioning Agent, Pipeline Library Agent, or Secrets Provisioning Agent.
These prompts are dynamically constructed using the current project context, trace metadata, and requested infrastructure layout.
🧠 Example System Prompt¶
You are the ProjectBootstrapOrchestrator.
Your task is to provision the required Azure DevOps resources for a new software project.
Project metadata:
- project_id: {{project_id}}
- trace_id: {{trace_id}}
- organization: {{organization}}
- project_name: {{projectName}}
- repositories: {{requestedRepos}}
- runtime_environment: {{runtimeEnvironment}}
- azure_subscription_id: {{azureSubscriptionId}}
Your responsibilities:
1. Create a new Azure DevOps project.
2. Create Git repositories for each requested service or library.
3. Link Azure service connections (Azure RM, ACR).
4. Create default pipeline library templates.
5. Initialize traceability metadata.
6. Return a `DevOpsArtifactsReady` event containing all output details.
Respond in JSON format with the following structure:
{
"project_id": "...",
"repos": [...],
"serviceConnections": [...],
"pipelineTemplates": [...],
"trace_id": "..."
}
🧩 Prompt Injection Tags¶
| Placeholder | Description |
|---|---|
{{project_id}} |
Unique software project ID |
{{trace_id}} |
Root orchestration trace identifier |
{{requestedRepos}} |
List of repositories to create |
{{azureSubscriptionId}} |
Azure subscription for service connections |
This prompt ensures that agents perform consistent, traceable, and environment-specific operations aligned with ConnectSoft's DevOps architecture and lifecycle.
Process / Flow¶
The ProjectBootstrapOrchestrator follows a structured, sequential process to provision and configure all Azure DevOps resources needed to support the software factory lifecycle.
Below is the high-level step-by-step flow executed during orchestration:
🔁 Step-by-Step Execution Flow¶
- Receive
ProjectInitializedEvent- Extract
project_id,trace_id, organization, and requested repositories.
- Extract
- Seed Traceability Anchors
- Invoke
Traceability Agentto register trace metadata across Git, pipelines, and variable groups.
- Invoke
- Create Azure DevOps Project
- Call
DevOps Provisioning Agentto create a new project under the specified organization.
- Call
- Provision Git Repositories
- For each requested repository, initialize a Git repo and push default scaffold (if required).
- Map each repo to the corresponding service or library using project tags.
- Create Service Connections
- Use
Secrets Provisioning Agentto configure secure service connections:- Azure Resource Manager (ARM)
- Azure Container Registry (ACR)
- Optional: GitHub, Docker Hub, or AWS
- Use
- Inject Pipeline Templates
- Generate or reuse centralized pipeline templates using
Pipeline Library Agent. - Link to each repo using standard
azure-pipelines.ymlfiles or templates.
- Generate or reuse centralized pipeline templates using
- Setup Variable Groups
- Define environment-specific variables (e.g.,
ENVIRONMENT,PROJECT_ID) for CI/CD.
- Define environment-specific variables (e.g.,
- Emit
DevOpsArtifactsReadyEvent- Once all provisioning tasks are completed and verified, emit the event to trigger downstream orchestration.
This flow ensures that all downstream coordinators and agents operate with a shared infrastructure backbone, consistent project structure, and auditable trace context.
Process / Flow (Diagram)¶
The following Mermaid sequenceDiagram illustrates the coordination flow between the ProjectBootstrapOrchestrator and its collaborating agents.
```mermaid sequenceDiagram participant User as User / Prompt participant Init as ProjectInitiator participant Bootstrap as ProjectBootstrapOrchestrator participant Trace as Traceability Agent participant DevOps as DevOps Provisioning Agent participant Git as GitOps Agent participant Secrets as Secrets Provisioning Agent participant Pipeline as Pipeline Library Agent participant Downstream as MicroserviceAssemblyCoordinator
User->>Init: Submit new project prompt
Init->>Bootstrap: Emit ProjectInitialized
Bootstrap->>Trace: Register project_id, trace_id
Bootstrap->>DevOps: Create ADO Project + Boards
Bootstrap->>Secrets: Provision Azure service connections
Bootstrap->>Git: Create Git repositories
Bootstrap->>Pipeline: Generate shared CI pipeline templates
Bootstrap->>Bootstrap: Validate all DevOps artifacts
Bootstrap-->>Downstream: Emit DevOpsArtifactsReady
````
This visual flow highlights the sequential orchestration across AI agents and infrastructure components, ending with a signal that the DevOps foundation is complete and the system can safely proceed to service blueprinting and code generation.
Knowledge & Blueprints Required¶
The ProjectBootstrapOrchestrator requires several types of domain knowledge and configuration artifacts to provision DevOps resources in a way that is compliant, traceable, and extensible.
These inputs are either derived from earlier agents (e.g., ProjectInitiator, VisionAgent) or injected via system defaults or edition templates.
📚 Required Knowledge¶
| Knowledge Artifact | Description |
|---|---|
| Azure DevOps Topology Template | Defines project naming conventions, repo layout, pipeline structure, service connections, and org-level policies. |
| Git Repo Naming Strategy | Pattern for naming service and library repositories (e.g., {{service-name}}-svc, {{project-name}}-infra). |
| Pipeline Library Blueprint | Shared templates for building, testing, releasing services in Azure Pipelines. |
| Traceability Metadata Schema | Structure for trace IDs, project IDs, commit annotations, and runtime telemetry anchors. |
| Environment Configuration Presets | Default environment names, approval strategies, and secrets for dev, test, staging, prod. |
🧩 Optional Contexts¶
| Optional Blueprint | Purpose |
|---|---|
| Edition Infrastructure Extension | Used to inject edition-specific service connections, environments, or runtime flags. |
| Audit Tagging Policy | Provides required labels or Git tags for compliance or audit trail purposes. |
| CI Trigger Strategy | YAML pattern for monorepo vs. polyrepo pipeline triggers. |
This knowledge base ensures that DevOps provisioning is automated, governed, and adaptable for different product lines, industries, or cloud strategies.
AI Skills and Plugins Used¶
The ProjectBootstrapOrchestrator delegates complex provisioning, scaffolding, and integration tasks to AI agents using semantic kernel skills and plugins. These skills abstract cloud-specific APIs and templates into reusable functions orchestrated via prompt-based workflows.
🧠 Core Semantic Kernel Skills¶
| Skill / Plugin | Description |
|---|---|
DevOpsSkill.CreateProject |
Provisions a new Azure DevOps project with default settings and boards. |
DevOpsSkill.CreateRepo |
Creates one or more Git repositories under the current ADO project. |
DevOpsSkill.ConfigurePipelineTemplate |
Injects reusable YAML pipeline templates into target repos. |
DevOpsSkill.CreateVariableGroup |
Sets up shared environment variables for pipeline execution. |
AzureSkill.CreateServiceConnection |
Links Azure subscriptions and ACR to the project using service principals. |
GitSkill.CommitTemplateFiles |
Pushes initial scaffold files or CI definitions into each repo. |
TraceabilitySkill.RegisterTrace |
Writes trace_id, project_id, and tags into DevOps, Git, and telemetry. |
🔌 Optional Skills (Conditional Execution)¶
| Skill / Plugin | Description |
|---|---|
EditionSkill.OverridePipelineSteps |
Modifies CI steps based on edition features or deployment tiers. |
SecuritySkill.EnforceConnectionPolicies |
Validates secrets, permissions, and role-based access. |
GraphPlanner.Skill.RunPlan |
Used to optimize the execution order of agent calls. |
These skills allow the coordinator to operate in a plugin-driven, cloud-agnostic, and agent-autonomous manner — adaptable across industries, cloud providers, or DevOps topologies.
Human Intervention Hooks¶
While ProjectBootstrapOrchestrator is designed to operate autonomously, there are key moments where human review or approval may be required — especially in regulated or enterprise environments.
These hooks allow the coordinator to pause execution, request approvals, or escalate failures to ensure secure and auditable outcomes.
🧑💼 Approval Scenarios¶
| Hook Point | Description |
|---|---|
ManualProjectApprovalRequired |
Triggered when the project name, organization, or trace metadata is flagged for conflict or policy violation. |
MissingServiceConnectionConfig |
Raised when subscription or credential metadata is incomplete or missing. |
EditionOverrideApproval |
Required when a project triggers edition-specific templates or infrastructure (e.g., HIPAA, financial). |
🔄 Fallback & Escalation Paths¶
| Condition | Escalation Target |
|---|---|
| Repeated failure to create ADO project | HumanApprovalEscalator for manual DevOps project creation |
| Service connection permission denied | Alert sent to Security Officer or DevOps Admin via email/Teams |
| YAML template invalid or missing | Logs diagnostic and routes to DocumentationSyncCoordinator for recovery |
🔓 Manual Bypass Option¶
Administrators may override coordinator decisions by injecting a manualBootstrapOverride flag during retries, allowing:
- Skipping pipeline scaffolds
- Injecting custom pipeline templates
- Skipping variable group provisioning
These intervention points ensure a balance of automation and governance, particularly in enterprise and compliance-sensitive contexts.
Observability & Traceability¶
The ProjectBootstrapOrchestrator emits rich telemetry and trace metadata to ensure all provisioning steps are auditable, correlated, and visible across the ConnectSoft AI Software Factory platform.
It establishes the foundational observability pipeline for all downstream coordinators and services.
📈 Metrics Emitted¶
| Metric | Type | Description |
|---|---|---|
project_bootstrap_duration_ms |
Timer | Total time spent provisioning DevOps assets |
repos_provisioned_count |
Counter | Number of repositories created |
pipelines_initialized_count |
Counter | Number of pipeline templates applied |
service_connections_created |
Counter | Number of Azure/Azure DevOps connections provisioned |
approval_escalations |
Counter | Human intervention requests triggered |
🧵 Trace Metadata (Standard)¶
| Field | Format | Emitted in |
|---|---|---|
trace_id |
UUID | Every span, repo, pipeline, service connection |
project_id |
UUID | Linked to all Git commits and pipelines |
coordinator_name |
string | Included in every telemetry entry (e.g., ProjectBootstrapOrchestrator) |
span_id |
UUID | Unique identifier for the current coordinator step |
agent_version |
string | Coordinator agent image or version ID |
📡 Log Events & Targets¶
-
Structured logs are sent to:
- Azure Application Insights
- Log Analytics Workspace
- Diagnostic trace pipeline
-
Every major operation (repo created, pipeline injected, connection added) includes:
trace_idspan_idproject_id- Status (
success,failure,pending,escalated)
This observability layer ensures: - Real-time debugging - Cross-agent correlation - Compliance reporting - AI-assisted diagnosis of bottlenecks or failures
Configuration¶
The behavior of the ProjectBootstrapOrchestrator can be fine-tuned via coordinator-level configuration. These settings define execution timeouts, retry strategies, security policies, and edition-specific overrides.
⚙️ YAML Configuration Block¶
```yaml ProjectBootstrapOrchestrator: retryLimit: 3 timeoutSeconds: 180 createDefaultBoards: true defaultEnvironment: development injectPipelineTemplate: true serviceConnectionPolicy: allowUnverifiedCertificates: false requireManagedIdentity: true editionAware: true escalationPolicy: enabled: true notifyGroup: "DevOpsAdmin" fallbackCoordinator: "HumanApprovalEscalator" ````
🔧 Key Settings¶
| Setting | Description |
|---|---|
retryLimit |
Number of retry attempts before escalation. |
timeoutSeconds |
Max execution time per orchestration attempt. |
createDefaultBoards |
Whether to auto-create epics, iteration paths, and boards. |
injectPipelineTemplate |
Enables shared YAML library injection into repos. |
requireManagedIdentity |
Enforces secure identity binding for service connections. |
editionAware |
If true, applies edition-specific provisioning strategies. |
escalationPolicy.enabled |
Enables fallback to human review on critical errors. |
This config block is typically stored in:
- A project-level orchestration config file
- The ConnectSoft global coordinator manifest
- Or passed dynamically in the
ProjectInitializedpayload
By externalizing this logic, the coordinator remains flexible, multi-tenant aware, and policy-governed.
Error Handling & Resilience¶
The ProjectBootstrapOrchestrator is built with a resilient, fault-tolerant execution model that ensures robustness across cloud, network, and DevOps API failures.
It employs retry logic, graceful degradation, and escalation paths to recover from partial failures or external disruptions.
🔁 Retry Strategy¶
| Failure Type | Retry Logic |
|---|---|
| Transient DevOps API failure | Retry up to retryLimit times with exponential backoff |
| Git push failure | Retry and validate repository status after delay |
| Service connection timeout | Retry using fallback credentials if configured |
🧯 Failure Conditions and Fallbacks¶
| Failure Condition | Fallback Action |
|---|---|
| ADO project creation fails | Raise ManualProjectApprovalRequired event and log diagnostic |
| Service connection missing config | Trigger human escalation with context and payload snapshot |
| Pipeline template invalid | Inject placeholder and notify PipelineGenerator |
| All retries exhausted | Emit BootstrapFailed event and trigger HumanApprovalEscalator |
🧠 State Flags (Internal)¶
| Flag | Meaning |
|---|---|
isProvisioned |
True if all DevOps artifacts created successfully |
hasPendingEscalation |
True if waiting for manual intervention |
partialSuccess |
True if some repos/connections/pipelines failed but others succeeded |
🔐 Resilience Features¶
- Uses idempotent DevOps APIs to ensure safe re-execution.
- Detects and skips already provisioned resources.
- Logs full diagnostic trace to Application Insights and DevOps activity feed.
- Isolates failures by repo/component — avoids cascading failures.
This layered error handling strategy ensures the factory continues safely, escalates appropriately, and leaves a complete audit trail.
Related Coordinators¶
The ProjectBootstrapOrchestrator operates in coordination with other early-stage orchestration components in the ConnectSoft AI Software Factory. These related coordinators handle complementary or downstream responsibilities.
🔗 Closely Coupled Coordinators¶
| Coordinator | Role |
|---|---|
ProjectInitiator |
Emits the ProjectInitialized event that triggers bootstrap orchestration. |
MicroserviceAssemblyCoordinator |
Waits for DevOps artifacts before generating service scaffolding. |
DevOpsAgentCoordinator |
Manages DevOps agent creation, task pools, and runtime capabilities. |
PipelineGenerator |
Generates and configures service-specific CI/CD pipelines after DevOps foundation is ready. |
TraceabilityAnchorInitializer |
Ensures trace metadata is consistent across all provisioned resources. |
🧩 Supporting Coordinators¶
| Coordinator | Role |
|---|---|
SecretsAndIdentityPlanner |
Assists with secure identity, secrets, and service connection policy enforcement. |
DocumentationSyncCoordinator |
Uses provisioned repos and pipelines to generate initial documentation structure. |
EnvironmentSetupCoordinator |
Initializes default environments (dev, test, staging) and links them to pipelines. |
🔁 Dependency Graph¶
- Must run after
ProjectInitiator - Must complete before any service generation or testing coordinators execute
- Can execute in parallel with
TraceabilityAnchorInitializerif trace_id is pre-injected
This coordination ensures a consistent, auditable infrastructure footprint for every ConnectSoft project lifecycle.
Real-World Examples¶
Below are examples of how the ProjectBootstrapOrchestrator has been applied in real production scenarios within the ConnectSoft AI Software Factory.
🚀 Example: Insurance SaaS Platform (Multi-Service Project)¶
Context:
- A new multi-tenant insurance claims processing system was requested.
- Vision Architect Agent defined key services: claims-service, policy-service, document-service.
Trigger:
- ProjectInitialized emitted after prompt validation.
- Required creation of Git repositories, service connections to Azure, and pre-configured CI templates.
Execution:
- ProjectBootstrapOrchestrator created:
- Azure DevOps Project: insurance-platform-prod
- Git repos:
- claims-service
- policy-service
- document-service
- infra-deployments
- Service connections:
- Azure ARM (with Managed Identity)
- Azure Container Registry (ACR)
- Shared pipeline template: ci-template-v2.yml
- Variable group: claims-dev-variables
Outcome: - All downstream agents used the provisioned repos for service generation. - DevOps dashboards linked to trace ID. - Pipelines executed and deployed 3 services automatically within 12 minutes.
🧪 Example: Experimental ML Prototype¶
Context: - Internal R&D team requested isolated environment to test a ML model training workflow.
Trigger:
- Internal portal form triggered a ProjectInitialized event with edition: sandbox.
Execution:
- ADO Project created with a -sandbox suffix.
- Only 1 repo (ml-model-service) created.
- Environment set to dev-only; no approvals or staging.
- Security connections mocked using a local emulator.
Outcome: - Project provisioned in under 90 seconds. - Used by AI agents to test notebook conversion pipeline. - Manually escalated and promoted to staging after evaluation.
These examples highlight the coordinator’s ability to support both enterprise-scale multi-service programs and lightweight experimental flows, while maintaining traceability and compliance throughout.
Conclusion¶
The ProjectBootstrapOrchestrator is a foundational coordinator in the ConnectSoft AI Software Factory. It ensures that every new software project — regardless of scale or domain — begins with a secure, traceable, and cloud-ready DevOps environment.
By programmatically provisioning: - Azure DevOps projects - Git repositories - CI/CD pipeline templates - Service connections - Environment variables - Traceability metadata
…it enables all downstream agents to operate with zero manual setup, ensuring a repeatable, compliant, and governed delivery pipeline.
Its design supports: - Multi-tenant SaaS projects - Industry-specific DevOps policies - Edition-aware overrides - Manual intervention hooks - Observability-first execution
A successfully executed ProjectBootstrapOrchestrator results in:
- A fully initialized infrastructure for CI/CD
- Clear telemetry and audit trails
- A smooth path to scalable service generation and deployment
It is the DevOps cornerstone of ConnectSoft’s autonomous SaaS generation platform — turning project vision into operational reality in minutes.