Configures Swagger/OpenAPI documentation
Executes implementation tasks (Todo -> In Progress -> To Review). Follows KISS/YAGNI, guides, quality checks. Not for test tasks.
Fixes tasks in To Rework and returns them to To Review. Applies reviewer feedback only for the selected task.
Coordinates code quality: ln-511 metrics, ln-512 cleanup, inline agent review (Codex + Gemini), ln-513 regression, ln-514 log analysis. Returns quality_verdict + aggregated results.
Checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates decisions via MCP Ref. Reports with SEC-/PERF-/MNT-/ARCH-/BP-/OPT- prefixes.
Plans automated tests (E2E/Integration/Unit) using Risk-Based Testing after manual testing. Calculates priorities, delegates to ln-301-task-creator.
Configures CORS policy for development and production
Coordinates logging, error handling, CORS, health checks, and API docs
RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md.
Orchestrates full decomposition (scope → Epics → Stories → RICE prioritization) by delegating ln-210 → ln-220 → ln-230. Sequential processing. Epic 0 for Infrastructure.
Configures health check endpoints for Kubernetes readiness/liveness/startup
Performs manual testing of Story AC via executable bash scripts saved to tests/manual/. Creates reusable test suites per Story.
CREATE/REPLAN Epics from scope (3-7 Epics). Batch Preview + Auto-extraction. Decompose-First Pattern. Auto-discovers team ID.
Orchestrates task operations. Analyzes Story, builds optimal plan (1-8 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.
Analyzes single pattern implementation, calculates 4 scores (compliance, completeness, quality, implementation), identifies gaps. Invoked by ln-640 or standalone.
Audits architectural patterns against best practices. Maintains patterns catalog, calculates 4 scores per pattern. Output: patterns_catalog.md.
Research best practices via MCP Ref/Context7/WebSearch and create documentation (guide/manual/ADR/research). Single research, multiple output types.
Universal platform artifact cleaner: Replit, StackBlitz, CodeSandbox, Glitch
Coordinates Docker, CI/CD, and environment configuration setup via auto-detection
Coordinates 9 audit workers (ln-621..ln-629) in parallel. Research best practices, delegate, aggregate into docs/project/codebase_audit.md.