Fixr

AI debugging assistant that helps untangle broken code and trace errors fast.

4.3 (4)

Geprüft von Daniel Nikulshyn·Aktualisiert Mai 2026

Productivity Multi-Language Code Analysis AI Assistant Debugging Developer Tools

Übersicht

Fixr is an AI-powered debugging tool designed to help developers identify, understand, and resolve issues in their code. It analyzes error messages, stack traces, and problematic code snippets to suggest likely causes and practical fixes. Aimed at developers tired of digging through forums and documentation, Fixr positions itself as a no-nonsense companion for everyday troubleshooting. Whether you're chasing a runtime exception or a subtle logic bug, it tries to point you toward the root cause quickly.

Hauptfunktionen

Error message and stack trace analysis
AI-generated fix suggestions
Code snippet diagnostics
Plain-language explanations of bugs
Support for multiple languages and frameworks

Anwendungsfälle

Diagnose runtime exceptions quickly

Paste an error message and stack trace into Fixr to get AI-generated explanations of likely root causes and actionable fix suggestions without scouring forums.

Understand unfamiliar bugs in plain language

Use Fixr's plain-language explanations to learn why a bug occurred, helping junior developers build intuition while resolving the immediate issue.

Troubleshoot code across multiple languages

Submit problematic snippets from various languages and frameworks to receive targeted diagnostics, useful for full-stack developers switching contexts.

Speed up everyday debugging workflows

Replace manual searches through documentation with rapid AI suggestions, cutting down time spent identifying and resolving common runtime or logic errors.

Pro & Contra

Pro

Focused specifically on debugging workflows
Provides explanations along with suggested fixes
Works across common programming languages
Saves time versus manual error searches

Contra

Suggestions may need verification before applying
Less useful for highly domain-specific bugs
Quality depends on context provided

Bewertungen

4.3

Durchschnitt aus 4 Bewertungen.

Melde dich an, um eine Bewertung abzugeben.

George Papadakis

Use it every day

Honestly didn't expect to like it this much. AI-generated fix suggestions is exactly what I needed, and provides explanations along with suggested fixes. I do wish less useful for highly domain-specific bugs, but I reach for it almost every day now and it just clicks.

Robert Ainsworth

Compared a few options

Evaluated this against two competitors. Where it wins: plain-language explanations of bugs and focused specifically on debugging workflows. Where it lags: quality depends on context provided. On balance the feature set — especially code snippet diagnostics — justifies the 4 stars for our use case.

Pierre Dubois

Compared a few options

Evaluated this against two competitors. Where it wins: plain-language explanations of bugs and works across common programming languages. Where it lags: less useful for highly domain-specific bugs. On balance the feature set — especially support for multiple languages and frameworks — justifies the 4 stars for our use case.

Ingrid Bauer

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on error message and stack trace analysis, and focused specifically on debugging workflows caught me off guard. Quality depends on context provided is why this isn't a perfect score, still, I'd recommend giving it a real trial.