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How to study the 25 bugs no model has fixed with Bug Hunt Bench

Look at the bugs that every model missed to learn where current tools fail.

Short answer: Note the README fact that 25 of 105 bugs have never been fixed by any model; then open the raw data in the results/ folder on GitHub; open results/waves.md to read the findings by wave. All steps.

Who it is forA researcher or engineer who wants to understand the hardest bugs in the bench and why models miss them.

The problemAggregate scores hide which specific bugs stay unfixed, and those are the cases that show real limits.

The outcomeA list of the bugs no model fixed, with context from the findings by wave, to guide further study.

What you need first

  • A web browser to open the live leaderboard at bughunt.productcompass.pm
  • Access to the results/ folder on GitHub or a local copy of the repo for the raw data

Steps

  1. Note the README fact that 25 of 105 bugs have never been fixed by any model.
  2. Open the raw data in the results/ folder on GitHub.
  3. Open results/waves.md to read the findings by wave.
  4. Match the unfixed bugs against the wave findings and write down the patterns you see.

Prompt for your agent

In the bug-hunt-bench repo, open results/waves.md and the raw data in results/, then list the bugs that no model fixed, grouped by repo. Output a short report. Verify that the count of unfixed bugs matches the 25 of 105 stated in the README.

Caveat. The unfixed list reflects only the models and runs in this bench, so other models may fix some of these bugs.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for phuryn/bug-hunt-bench and "Study the 25 bugs no model has fixed"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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