Test-Driven Bug Hunting With Reproduction Agents
Test-Driven Bug Hunting With Reproduction Agents — a ready-to-use text prompt with customizable fields (bug) for Development & Code. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.
How to use it
- Fill in bug below (or keep the suggested defaults).
- Copy the generated prompt.
- Paste it into ChatGPT, Claude, or your preferred AI assistant.
Pairs well with Ethereum Developer — try running them back to back.
Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.
Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.
The base prompt
Bug report: ${bug}. Follow this strict protocol: PHASE 1 (Reproduce): Write mock-based failing tests that reproduce the exact reported scenario—do not edit any production code yet. Show me the failing test output. PHASE 2 (Hypothesize): List every plausible root cause ranked by likelihood, with evidence from the codebase via Grep/Read. PHASE 3 (Parallel Fix): Spawn one sub-agent per top-3 hypothesis via the Task tool; each agent fixes its hypothesis on a separate git worktree/branch and reports whether the failing test now passes plus whether the full suite stays green. PHASE 4 (Synthesize): Recommend which fix to merge and why, then commit. Refuse to skip phases.
Want it filled in and enhanced? Use the builder →
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