Repo · Coding & code review
painpoints
CLI, MCP server and native viewer that score every source file on layering, complexity, data-access cost, failure handling, UI cost and…
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Find the architectural pain points in any codebase. Scores every file on layering, complexity, data access, failure handling, UI cost and trust-boundary risk against Google, Amazon and OWASP guidance. Ranked JSON for AI coding agents, an MCP server, a native viewer. Rust.
ai-agentsarchitectureclaude-codeclicode-qualitycode-reviewcodebase-analysiscoding-agentscursordeveloper-toolsllmmcpmcp-servermodel-context-protocolrefactoringruststatic-analysistechnical-debt
How builders describe it
CLI, MCP server and native viewer that score every source file on layering, complexity, data-access cost, failure handling, UI cost and trust-boundary risk with a System One model (TypeSafe Jev or Cloudflare Clef), then hand coding agents a ranked, self-explaining technical-debt report.
The decision Jev makes
Label a change, score its risk, pick the relevant file, or decide whether a coding agent should continue.
Where it fits
Code review and coding agents are full of small questions: is this change risky, what kind of fix is this, which file matters. These projects answer them with Jev and route the rest to people or bigger models. All 450 coding & code review projects →
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