ai-devkit vs evolver
ai-devkit: AI DevKit is a local-first operating layer for teams running several coding agents. One .ai-devkit.json reconciles skills, MCP and setup across Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, Copilot and others; agent console is a live TUI for running sessions; agent send routes prompts, logs or stdin to a running agent; and a local SQLite memory is searched over MCP when needed. A dev-lifecycle skill guides requirements, design, planning, implementation, testing and review.; evolver: Evolver scans an agent's logs and memory, selects a matching Gene or Capsule from a local asset store, and emits a protocol-bound GEP prompt for the next improvement step. Each run records an auditable EvolutionEvent, and hooks wire it into Cursor, Claude Code, Codex and other runtimes.
TL;DR
Keeping one setup across Claude Code, Codex and Cursor in a team repo
Harden a flaky agent loop by enforcing validation before edits
Side-by-Side Comparison
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