Module 02: The Reimagined Lifecycle: Intent, Plan, Verify, Deploy

Autonomous AI doesn't mean "uncontrolled chaos." If you type random prompts into an LLM and paste code into production, you will create an unmaintainable disaster. Speed requires a disciplined, modern operating model. Here is the 4-phase Reimagined Lifecycle.

Phase 1: Intent Framing (The "Why")

Instead of drafting a 10-page spec, you define the core problem and user outcome in 3 to 5 clear sentences. You establish the boundaries: What does this feature do? What does it explicitly NOT do? What are the security and performance requirements?

Phase 2: Architectural Plan & Audit (The "How")

Before modifying any production file, Antigravity generates an Implementation Plan Artifact. This plan details:

• The exact files to create, modify, or delete.
• The schema changes and API contracts.
• Potential edge cases and security risks.
• The verification strategy.

As the architect, your job in Phase 2 is to review the plan, challenge lazy assumptions, and hit "Approve" only when the architecture is solid.

Phase 3: Autonomous Construction & Verification (The "Build")

Once approved, Antigravity executes the plan: creating modular files (<300 lines), implementing clean functions, and immediately testing them. It doesn't ask you to test things manually; it writes temporary scratch scripts, curls endpoints, and verifies output codes in real time.

Phase 4: Instant Deterministic Release (The "Ship")

With verification confirmed, Antigravity generates conventional commit messages (e.g. feat(auth): add OAuth2 refresh token rotation) and triggers production deployment via cloud bridges (such as Google Cloud Run or Hostinger MCP) in seconds.

Comparison: Old SDLC vs. Reimagined SDLC