ReproForge — From Bug Report to Verified Fix

ReproForge is an AI-powered software debugging and repair system built to close the gap between identifying a bug and proving that it has actually been fixed. A developer provides a bug report, stack trace, or error description, and ReproForge analyzes the repository using specialized AI agents. The agents investigate the codebase, examine relevant tests and Git history, identify potential root causes, and collaborate to determine the most likely explanation. ReproForge then creates a minimal reproducible test case and runs it against the existing code to prove that the issue actually occurs. Once the failure is confirmed, the system generates a regression test, proposes and applies a minimal code fix, and executes the relevant test suites again. The final result is an evidence-backed debugging report showing the complete journey: Bug Report → Investigation → Root Cause → Reproduction → Regression Test → Fix → Verification Instead of simply generating code or explaining an error, ReproForge focuses on proof. It does not claim a bug is fixed unless the generated reproduction and relevant tests demonstrate that the behavior has been corrected. The project uses IBM Bob 2.0's repository-level AI capabilities, agent workflows, parallel investigation, file and terminal operations, and iterative verification to demonstrate how AI can participate in a complete software engineering workflow.