What is AI-DLC?
Understanding the AI-Driven Development Lifecycle
The AI-Driven Development Lifecycle
AI-DLC is the first development flow implemented in specs.md. It’s a reimagined software development methodology where AI drives the conversation and humans validate. Unlike traditional Agile where iterations span weeks, AI-DLC operates in Bolts - rapid iterations measured in hours or days.
The Core Insight
“Traditional development methods were built for human-driven, long-running processes. AI-DLC reimagines the development lifecycle with AI as a central collaborator, enabling rapid cycles measured in hours or days rather than weeks.”
Key Principles
AI-Driven
AI leads the conversation, proposes solutions, and generates artifacts. Humans validate and guide.
Rapid Iterations
Bolts replace Sprints. Complete meaningful work in hours, not weeks.
Human Checkpoints
Human validation at each checkpoint catches errors before they cascade.
Design-First
Domain-Driven Design is built into construction bolts, not an afterthought.
The Three Phases
AI-DLC organizes work into three phases, each with a specialized agent:
| Phase | Purpose | Key Outputs |
|---|---|---|
| Inception | Capture intents, elaborate requirements | User stories, NFRs, Unit definitions |
| Construction | Execute bolts through validated stages | Domain models, Code, Tests |
| Operations | Deploy, verify, and monitor | Deployment units, Runbooks |
Why AI-DLC?
The Problem with Traditional Methods
Traditional Agile methods have “whitespace” - areas left undefined that lead to:
- Inconsistent architecture decisions
- Missing design documentation
- Quality issues from skipped steps
- Context loss between iterations
The AI-DLC Solution
AI-DLC fills these gaps by:
- Integrating design techniques - DDD is integrated into construction bolts
- Creating persistent artifacts - Memory Bank maintains context
- Enforcing checkpoints - Each validation point ensures quality
- Enabling rapid iteration - AI-powered decomposition and execution
When to Use AI-DLC
AI-DLC is the right choice when:
- You have a team requiring coordination
- Your domain logic is complex and benefits from DDD
- You need comprehensive documentation and traceability
- You’re in a regulated environment with audit requirements