Version‑control your LLM prompts with
Lore lets AI coding agents retain institutional knowledge by encoding decision rationale, constraints, and alternatives as git trailers, eliminating re‑explaining and external docs.
Automated CLI that scores git commit messages against best‑practice rules and tracks per‑author hygiene trends for AI‑heavy workflows.
Catch AI‑code hallucinations instantly: real‑time sandbox validation scores suggestions, flags low‑confidence snippets, so solo devs avoid wasted debugging and regain trust in assistants.
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Agentic Coding MCP Server: Local Gemma 4 powered coding assistant integrated with Zed editor
Real‑time Claude API usage monitor that cuts token waste,
A lightweight, self‑hosted MCP server that lets solo devs and small teams quickly prototype agentic AI workflows locally—zero cloud, simple TLS, basic auth, and ready‑to‑use connectors.
CLI tool that pre‑scores spec complexity to stop wasteful CI runs on over‑scoped specs before they exceed a 5‑iteration budget.
Lightweight CLI + MCP server that lets solo devs run markdown‑based regression tests on any agent, catching silent breaks with instant diffs, cost & latency feedback.
DepDrift is a zero‑config CLI that scans local dependency files and shows how far behind each package is, delivering instant staleness reports without any external infrastructure.
Current agent frameworks require manual intervention for failure recovery and version updates, causing downtime and inconsistent behavior in production AI systems.
EnvLint validates .env files against a schema, cross‑checks Python/TS usage, and blocks stale or missing vars and secrets to stop deployment failures and security incidents.
Zero‑boilerplate CLI that turns a YAML spec into a ready‑to‑build MCP server project, letting developers ship tools fast.
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