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We built an AI Agent to reproduce bugs

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At Metabase, we built an AI agent called Repro-Bot that reads our GitHub issues and attempts to reproduce reported bugs automatically.It started as a hackathon project and is now part of our daily workflow, so we wrote about it and open-sourced the code as an example for others.How have similar tools been working for you? What has worked well and what has not?

HN · launched Apr 14, 2026 · 12 upvotes (top 36%) · 0 views

Niche: ai coding agents · 470 launches, 25 in the last 7 days ▼ -44% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial The orchestration loop calling LLMs is straightforward, but autonomously executing, instrumenting, and deterministically reproducing arbitrary software bugs in sandboxed repositories is technically challenging.

What it would actually take: The system requires a distributed sandboxed execution environment (ephemeral Docker containers or Firecracker microVMs) capable of checking out specific commits, installing diverse dependency trees, and mocking databases. The hard part is designing heuristic and agentic feedback loops that interpret ambiguous user bug reports, synthesize reproducible reproduction scripts (e.g. Cypress or unit tests), and distinguish genuine reproductions from setup failures. This requires deep DevSecOps and automated testing expertise.

Discussion

2 comments analyzed.

Concerns raised: 10% false positive rate in bug reproduction, Bot sometimes reproduces different bug than reported, Difficulty validating agent confidence levels

Feature requests: Lower false positive rate through improved prompts, Better distinction between exact vs. partial reproductions

Competitors

Other products that read as similar to this one : 2530 launches clear the similarity bar, closest 8 shown.

Attention rank: #983 of 2531 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 167 days after the earliest competitor.

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