RectifySmart debugging assistant that helps developers find and fix AI-generated code bugs quickly.

5.0 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

Developer Tools Debugging AI-Assisted Coding Code Analysis Productivity Bug Detection

Overview

Rectify is a debugging assistant built to help developers troubleshoot issues in AI-generated code. It analyzes problematic code, identifies likely sources of errors, and suggests targeted fixes so engineers can move past blockers without manually tracing every line. The tool is aimed at teams and individuals who rely on AI coding assistants but find themselves spending significant time cleaning up subtle bugs, broken logic, or integration mistakes. By focusing specifically on the kinds of errors that show up in generated code, Rectify aims to shorten the debug-and-iterate loop common in modern AI-assisted development workflows.

Key features

Automated bug detection in AI code
Suggested fixes and patches
Root-cause analysis hints
Support for common programming languages
Integration with AI coding workflows
Fast iteration on broken snippets

Pricing

Model: Freemium
Category: Software Development
Rating: 5.0 / 5 (6)

Use cases

Fix bugs in AI-generated code

Quickly identify and patch subtle errors introduced by AI coding assistants without manually tracing through every generated line.

Accelerate AI-assisted dev workflows

Shorten the debug-and-iterate loop by getting targeted fix suggestions for broken snippets produced during AI-assisted development.

Root-cause analysis for broken logic

Use root-cause hints to understand why AI-generated code is failing, helping engineers learn from and resolve integration mistakes faster.

Unblock teams relying on AI coders

Help individual developers and teams move past blockers caused by faulty AI output, reducing time spent cleaning up generated code.

Pros & Cons

Pros

Targets bugs specific to AI-generated code
Speeds up debugging cycles
Suggests concrete fixes, not just error reports
Useful for AI-assisted development workflows

Cons

Narrow focus on debugging rather than full IDE features
Effectiveness depends on code language and context
May still require human review for complex logic

Reviews

5.0

Average from 6 ratings.

Omar Haddad

May 5, 2026

Solid for our team

We rolled this out across the team last quarter and targets bugs specific to AI-generated code. Automated bug detection in AI code fits neatly into how we already work, and suggested fixes and patches removed a step we used to do by hand. but it has held up under daily use.

Wei Chen

Apr 22, 2026

Does the job

Pretty happy overall. Automated bug detection in AI code just works and speeds up debugging cycles. but no dealbreakers — I'd recommend it to a friend without hesitating.

Robert Ainsworth

Apr 10, 2026

Use it every day

Honestly didn't expect to like it this much. Root-cause analysis hints is exactly what I needed, and speeds up debugging cycles. but I reach for it almost every day now and it just clicks.

Liam O’Connor

Mar 10, 2026

Use it every day

Honestly didn't expect to like it this much. Suggested fixes and patches is exactly what I needed, and speeds up debugging cycles. I do wish effectiveness depends on code language and context, but I reach for it almost every day now and it just clicks.

Marcus Bell

Dec 5, 2025

Solid for our team

We rolled this out across the team last quarter and speeds up debugging cycles. Suggested fixes and patches fits neatly into how we already work, and integration with AI coding workflows removed a step we used to do by hand. but it has held up under daily use.

Sanjay Gupta

Aug 18, 2025

Use it every day

Honestly didn't expect to like it this much. Fast iteration on broken snippets is exactly what I needed, and suggests concrete fixes, not just error reports. I do wish narrow focus on debugging rather than full IDE features, but I reach for it almost every day now and it just clicks.