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ishqdehlvi
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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.
Category
Target Audience
Open-source maintainers, LLM library developers, security-focused teams
Similar To
DeepSeek Coder verification · Anthropic code-scanning · SonarQube
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