Are Implement

Execute the implementation phase with and without ARE documentation to measure impact.

Steps

1. Read version: Read .claude/ARE-VERSION → store as $VERSION. Show the user: agents-reverse-engineer v$VERSION

2. Run the implement command:

   npx agents-reverse-engineer@$VERSION implement --backend claude $ARGUMENTS
   

   Note: When --plan-id <id> is provided, the task description is loaded from the stored plan — no need to pass it explicitly.

3. Wait for completion — the command runs two sequential AI implementation sessions (without docs, then with docs) and outputs a comparison table.

4. On completion, summarize the comparison results:

   • Implementation metrics (files created/modified, lines added/deleted)
   • Test results (if --run-tests was used)
   • Build and lint results (if --run-build / --run-lint was used)
   • Cost and latency comparison
   • Quality evaluation scores (if --eval was used)

This re-uses branches created by /are-plan and executes the implementation in both worktrees:

• With ARE docs: Full documentation available during implementation
• Without ARE docs: Source code only (ARE artifacts stripped)

The comparison measures how much ARE documentation improves implementation quality.

Options:

• --eval: Run AI quality evaluator on both implementations
• --eval-model <name>: Model for the evaluator (default: same as --model)
• --model <name>: AI model to use for implementation
• --task-slug <slug>: Reference existing plan by slug (default: auto-generate from task)
• --plan-id <id>: Reference existing plan by ID (shown by are plan on completion)
• --run-tests: Execute test suite and include results in metrics
• --run-build: Execute build and verify success
• --run-lint: Run linter and include error/warning counts
• --dry-run: Show what would happen without executing
• --list: List all saved implementation comparisons
• --show <id>: View a previous comparison by date
• --force: Overwrite existing branches for the same task
• --debug: Show verbose AI execution details

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