Straight answers about AI bug fixing.
What Remedy does, how control is preserved and what makes the workflow different from ordinary bug tracking or AI code generation.
What is an AI bug fixer?
An AI bug fixer uses application evidence and code context to diagnose a software defect and help prepare a repair. Remedy connects that process to the original report, sanitised diagnostics, project rules, regression checks, human approval and verification.
How does Remedy know what caused a bug?
The report is made in the context where the problem occurred. Subject to project permission, Remedy associates it with recent diagnostic events, route and device context, then analyses the relevant failure path and code.
Does Remedy automatically deploy code?
Remedy is built around controlled workflows. Project policy and authorised people determine how a proposed repair is reviewed, approved and deployed.
Can Remedy replace developers?
No. It reduces repetitive investigation and repair preparation. Developers remain responsible for engineering judgement, review, architecture and production decisions.
Is Remedy the same as a bug tracker?
No. Traditional bug tracking software records, assigns and monitors tickets. Remedy is designed to help diagnose the cause, prepare the repair, check it and verify the result while retaining a clear lifecycle record.
Can Remedy fix frontend bugs?
It is suited to defects such as layout issues, broken interactions, validation problems, state errors and navigation failures when it has the necessary report and authorised project context.
Can Remedy work with mobile applications?
Yes. Remedy is designed for web and mobile software projects that can provide authorised diagnostic and development workflow access.
How does Remedy handle sensitive diagnostic data?
Its workflow sanitises diagnostic payloads, rejects known credential fields and limits network destinations. Teams still decide what diagnostics their project is permitted to capture.
How does Remedy verify a fix?
The proposed repair is associated with relevant automated checks and the original reproduction path. After deployment, the reported behaviour can be checked again before the issue is marked verified.
Who is Remedy for?
It is intended for software teams, QA teams, agencies, product companies and lean development teams that want better bug reports and a shorter, controlled path to repair.