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Assay – Found 250 bugs in LiteLLM, LobeChat via AI code verification

by tywellshn·Feb 21, 2026·3 points·1 comment

AI Analysis

MidBig Brain

AI finds 250 bugs in LiteLLM, LobeChat, but no demo or accessible entry point.

Strengths
  • Uses counterexample generation to catch subtle API mismatches LLMs introduce.
  • Claims real, verifiable results (250 bugs found) rather than marketing language.
  • Targets a genuine pain point: LLM-generated code quality and hallucinations.
Weaknesses
  • Zero installation instructions, no public GitHub Actions workflow, no way to run this yourself.
  • Framed as a SaaS pitch rather than an open-source tool — link title doesn't match.
Target Audience

Open-source maintainers, LLM library developers, security-focused teams

Similar To

DeepSeek Coder verification · Anthropic code-scanning · SonarQube

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