ailinter gives AI coding assistants a safety checklist. Before your AI writes a single line — and after — it evaluates the file and tells the AI whether to Go Ahead or Stop & Refactor. Three scanners in one: 20 code quality detectors (0-100 score), 269 secret detection rules, 58 vulnerability patterns. Runs as an MCP server — integrates with Claude Code, Cursor, OpenCode, and GitHub Copilot. 15MB Go binary, zero dependencies, MIT licensed.
Hey PH! I built ailinter because AI assistants kept generating deeply nested code, hardcoded API keys, and SQL injection patterns — and no single tool caught all three. So I combined them into one 15MB Go binary. The coolest discovery: our 269-rule secret scanner caught 203% more secrets than gitleaks on the same test corpus. It runs as an MCP server — your AI literally asks "is this file safe to edit?" before touching anything. Would love feedback from anyone using AI for production code!
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