Show HN: Topos – Structural code quality metrics for agent-written programs

Category: devtools

Tags: code-quality, static-analysis, ai-agents, mcp-server, code-metrics

Score: 7.5/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 7)

Topos provides structural code quality metrics for AI-generated code, measuring simplicity, composability, and security via AST, CFG, dependency graphs, and code property graphs. It integrates with MCP servers to give coding agents actionable feedback, enabling iterative improvement beyond unit tests. The project is interesting for its novel combination of multiple static analysis techniques into a single, agent-friendly tool.

Target audience: backend devs, AI/ML engineers, devops, software quality engineers

Repository: https://krv.ai/field-notes/evaluating-code-generation · Python · BSD-3-Clause · 6 stars

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