documentation-drift

Portable, always-fresh docs for agents and humans. A Surface hub is a conformant OKF concept; Surface adds the freshness OKF leaves out - it fails the build when the code a doc describes changes. Deterministic, no LLM.

A context-aware AI code review bot that acts like a Senior Engineer. Features 2-stage triage, documentation drift detection, and architectural enforcement.

Generate docs from your code graph and docstrings, then gate them in CI so they can never go stale.

Rust CLI that finds drift between Claude skill prose and installed tool surfaces, and parks review-gated fix proposals.

Evidence-backed documentation drift control for agentic repositories.

Tracks documentation freshness vs code churn to identify outdated AI agent context

🔍 AI-powered Code↔Docs Drift Detector and Security-first Auditing Pipeline built for the Anna Hackathon

Keeps architecture diagrams honest — binds D2 diagram nodes to real repo paths and fails CI when they diverge

GitHub Action that automatically flags stale documentation by detecting drift between code changes and project docs using LLMs.

A pi prompt template that keeps CLAUDE.md in sync with your codebase — generates it on first run, then audits drift and updates it surgically as your project evolves

Claude Code skill for architecture reviews, docs-to-code drift detection, and evidence-based technical debt analysis across 12 dimensions — scalability, extensibility, reliability, security, change safety, data architecture, observability, and more.

Blocks a push when your documentation can be proven wrong. Reads your .gitignore, learns your repo layout, reports evidence instead of staleness scores. Python 3.8+, stdlib only, zero config.