Automated bug fixing built around review and evidence.
Automate the repetitive journey from bug report to proposed repair—not the judgement that protects your production software.
What automated bug fixing should actually automate
Automated bug fixing software should remove avoidable manual work: gathering diagnostic context, reproducing an error path, identifying affected code, preparing a focused patch and selecting relevant regression checks. It should not hide the change, bypass project rules or claim success before the original defect is retested.
The Remedy approach
Remedy combines AI-assisted diagnosis with a controlled repair orchestrator. Each task is scoped to the reported defect and governed by the connected project's repair policy. The result is a proposed software fix with supporting checks and a traceable status—not an unexplained change pushed into production.
Human-in-the-loop software repair
Teams retain the approval point. Developers can inspect the diagnosis, code change and test evidence before deployment. After release, Remedy checks the original failure path so “fixed” means verified, not merely merged.
Benefits for development teams
- Shorter time from defect discovery to actionable repair
- Fewer clarification loops between testers and developers
- Consistent project rules across AI-generated fixes
- Clear evidence for review, deployment and closure
- Less developer time spent reconstructing missing context