AI-DLC Hands-On Workshop
Part 3 - Frameworks
HVE-CORE
AI-DLC Workflows
Specs.md
BMAD
https://github.com/microsoft/hve-core
https://github.com/awslabs/aidlc-workflows
https://github.com/fabriqaai/specs.md
https://github.com/bmad-code-org/BMAD-METHOD
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Research
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Plan
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Implement
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Inception
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Construction
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Operations
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Simple
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FIRE (Fast Intent Rapid Execution)
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Full AI-DLC (Inception, Construction, Operations)
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Multiple modules
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Persona based agents
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Modular and easy to extend
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Party mode 🥳
HVE-CORE
Group 1
Research: Ask rpi-agent to research the design space: "Research what we need to build a company directory API with Copilot. Identify requirements and decision points."
Plan: Generate a plan artifact: ADR for database choice + API structure spec
Implement: Execute the plan: migrations, Express + TypeScript scaffold, CRUD endpoints, JWT auth
AI-DLC Workflows
Group 2
You trigger the flow by saying: "Using AI-DLC ... "
Prompt: Using AI-DLC build a company directory. It needs: a PostgreSQL table (name, industry, website, notes), a REST API in Node.js/Express with TypeScript with full CRUD endpoints, JWT-based authentication (register + login), and a health check endpoint. The API goes in api/. Local PostgreSQL runs in Docker.
Review and approve the execution plan
Let it run Construction; review each artifact in aidlc-docs/ before approving the next stage
Specs.md
Group 3
Init a FIRE workflow for this workshop. You will have access to 3 agents. You invoke each agent depending on the stage that you are in
Prompt: We're building a company directory. It needs: a PostgreSQL table (name, industry, website, notes), a REST API in Node.js/Express with TypeScript with full CRUD endpoints, JWT-based authentication (register + login), and a health check endpoint. The API goes in api/. Local PostgreSQL runs in Docker.
Invoke Fire-Orchestrator with the above prompt to capture the intent
Invoke Fire-Planner to decompose into work items. The framework auto-sizes checkpoints (Autopilot / Confirm / Validate) based on complexity
Invoke Fire-Builder to execute the plan
BMAD
Group 4
When setting up, select BMAD Core Module and BMad Method Agile-AI Driven-Development. You will have a lot of different agents through SKILLS and scripts that BMAD will invoke when triggered
Prompt: Using AI-DLC build a company directory. It needs: a PostgreSQL table (name, industry, website, notes), a REST API in Node.js/Express with TypeScript with full CRUD endpoints, JWT-based authentication (register + login), and a health check endpoint. The API goes in api/. Local PostgreSQL runs in Docker.
Start with PM agent: capture requirements, acceptance criteria, user stories
Move to Architect agent: tech decisions, project structure, API design
Use Party Mode at the Architect stage: bring in the Developer and ask them to challenge the design
Switch to Developer agent: implement