LegitShow is the trusted source on every launched service — web apps, SaaS, AI tools, MCP servers and developer tools: what each one does, who it’s for, and how it actually holds up, measured by an objective 7-Frame production-readiness benchmark taken deterministically from the public surface. How we measure →


Legit.Show benchmarks every launched service it lists — measured deterministically from the public surface. See the methodology →

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AI & Agents

bug-hunter

Last updated 2026-06-22 · benchmark measured 2026-08-09 — deterministic & reproducible

Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch

85/100
Legit Benchmark — the simple average of 3 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.

Is bug-hunter production-ready?

Legit.Show scores bug-hunter 85 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on bug-hunter (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Standards; its weakest is Discoverability. 3 of the seven frames returned a score; Performance, Accessibility, Privacy and Reliability were not measurable on this service and are recorded as null — not as zero. Maintenance is an additional frame from the open-source teardown, scored separately from the seven. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

Open-source teardown

Scored separately — not one of the seven.

What we measured

Who built it

Abhishek Tiwari

Visit bug-hunter → · Alternatives to bug-hunter → · How this was measured →

See how bug-hunter ranks among tested vulnerability scanner products →