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The one and only agent harness for complex codebases
LazyCodex is an agent harness for using Codex on complex software projects. It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes verified completion, which means the workflow is built around checking whether tasks are actually finished rather than only generating code. ...
React Doctor is a developer tool that scans React codebases and identifies problems that commonly appear in AI-generated or poorly maintained frontend code. It gives projects a clear health score from 0 to 100, making technical issues easier to understand, prioritize, and communicate. The scanner checks areas such as state management, effects, performance, architecture, accessibility, security, and dead code. It works across popular React environments, including Next.js, Vite, and React...
Repo-local continuity runtime for AI coding agents. Helps them continu
...AICTX keeps operational continuity inside the repo:
- active Work State and next action;
- execution summaries and handoffs;
- explicit decisions;
- known failures and resolved failure patterns;
- strategy hints from successful prior work;
- execution contracts and contract-compliance signals;
- optional RepoMap structural entry points;
- continuity quality signals for stale, missing, demoted, obsolete, or unverified context;
- read-only Task Context Packs for focused task-specific context;
- lifecycle diagnostics for incomplete or unfinalized sessions;
- optional Git-portable continuity for small teams.
It also makes continuity shared across agents.