Sdlc

Search AIWG knowledge base for help, documentation, and troubleshooting

Synchronize documentation and code with bounded, scope-first drift checks

Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks

Conduct comprehensive PR review from multiple perspectives (PM, Developer, QA, Security)

One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates

Create a Product Requirements Document (PRD) for a product feature

List and filter tickets/issues from configured backend

Automatically detect and update linked issues based on commits, artifacts, and task events

Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting

Evaluate architectural decisions using Tree of Thoughts exploration

Audit and triage general issue backlogs with read-only defaults, interactive cleanup decisions, and guidance steering; use this for "audit open issues" instead of aiwg-issue

Mark an issue as complete with comprehensive summary and verification

Map source file structure into navigable sections with line ranges and summaries for efficient agent navigation

Config-driven release orchestration — reads .aiwg/release.config plus optional .aiwg/releases/<plan-id> sidecars and walks the selected release plan's gates

Generate corpus-wide GRADE quality distribution report

Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process

Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)

Update existing ticket/issue with status changes, comments, or field updates

Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases

Generate MCP environment definition for MCPSmith with Docker and Node.js verification

Generate system definition file for ToolSmith with tested OS commands

Scaffold endurance, stress, and adversarial-input tests that reveal degradation rather than immediate crashes

Audit codebase for dead code, unused exports, orphaned files, and stale manifests

Report on research corpus health, completeness, and integrity

Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance. INTENDED FOR SUBSTANTIAL NEW WORK — new addons, new frameworks, new tracks, refactors crossing module boundaries — not every feature request. Apply the `sdlc-right-sizing` rule first to determine whether intake is appropriate; most day-to-day features need only an issue and possibly an ADR.

Add structured comments to issues using templates for progress, feedback, or blockers

Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.

Generate properly formatted citation from research corpus

AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake, deploy. SDLC framework quick reference — phase model, capability domains, and curated discovery phrases for aiwg discover.

Enforce minimum security criteria before iteration close or release

Analyze test coverage reports, identify gaps by priority, and recommend test improvements with trend tracking

Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration

Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.

Check a file for citation quality and GRADE compliance

Verify citations against the research corpus to prevent hallucinated references and enforce GRADE compliance

Analyze large source files and produce decomposition plans, optionally executing refactoring with import updates and test verification

Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.

Perform GRADE quality assessment on a research source

Perform comprehensive security assessment

Setup Warp Terminal with AIWG framework context (preserves existing content)

Search and navigate SDLC artifacts by topic, type, phase, or tag using the aiwg index CLI

Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts

Scan source code and report agent-readiness metrics with actionable recommendations

CI-friendly complexity enforcement gate returning pass/fail results for pipeline integration

Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/

Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting

Validate phase gate criteria with multi-agent review and generate pass/fail reports

Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus

Classify incidents by severity, assemble response teams, and coordinate initial response actions and comms

Detect issue references in commits and artifacts and automatically update or close linked tracker issues

Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.

End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions and focused gate questions

Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches

Update existing project WARP.md with latest AIWG orchestration guidance

Facilitate data-driven technical decisions using weighted decision matrices, trade-off analysis, and ADR generation

Query provenance chains to trace artifact derivation and impact

Compare current behavior against baseline to detect regressions

Generate or update the agentic environment definition for AgentSmith, SkillSmith, and CommandSmith

Verify all citations in a document against the research corpus

Generate a human-readable manifest for an AIWG skill chain — agent assignments, requires/ensures contracts, data flow, and parallelization opportunities.