We Debug Deep Learning. You Ship.

NeuroTidy explains ML & deep learning errors in plain language, suggests fixes, reviews your code, and helps you debug
faster — without wasting hours on LLM models and AI linters.

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Cut code review time & bugs in half Instantly.

Reviews for AI-powered teams who move fast (but don't break things)

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Automated GitHub PR Reviews

Get instant feedback on every PR with AI-generated summaries and line-by-line violation reports directly in your repository.

neurotidy-bot bot

Local CLI Debugging

Scan ML scripts locally from your terminal. Catch issues and understand deep learning concepts before deploying to CI.

neurotidy cli

Contextual Explanations

RAG-powered explanations break down confusing PyTorch errors with clear, actionable fix suggestions.

Contextual Explanation

Try it for yourself

Paste your code or try an example to see NeuroTidy in action.

PYTHON EDITOR
Examples:
NEUROTIDY INSIGHTS
// Select a mode and click Run to see insights...

See NeuroTidy in Action

Watch our application intelligently debug Deep Learning models in the CLI and GitHub.

Terminal CLI Demo

GitHub PR Integration Demo

How It Works

Three Steps to Cleaner Code

Connect your repo, let the AI scan, and get actionable fixes — it's that simple.

1

Connect Your Repository

Install the GitHub App or use the CLI locally. Works with PyTorch, TensorFlow, and all major ML frameworks. Setup takes under two minutes.

2

AI Analyzes Your Code

NeuroTidy's engine scans for anti-patterns — missing gradient zeroing, shape mismatches, wrong loss functions, and suboptimal architectures.

3

Get Actionable Feedback

Clear, plain-language explanations of what went wrong, why it matters, and exactly how to fix it — as inline PR comments or terminal output.

Why NeuroTidy

What Makes Us Different

We focused on one thing — making deep learning debugging and code review actually useful for ML engineers.

ML-Native Intelligence

Catches vanishing gradients, shape mismatches, and weight init bugs that generic tools miss entirely. Trained on real deep learning anti-patterns.

RAG-Powered & Current

Uses Retrieval-Augmented Generation to stay synced with the latest PyTorch & TensorFlow docs. When APIs break, NeuroTidy already knows.

Plain-Language Fixes

No cryptic error dumps. Get clear explanations of what went wrong in your neural network, why it matters, and exactly how to fix it.

GitHub-Native Workflow

Reviews appear as inline PR comments — no context switching. Works with your existing CI/CD pipeline. Set up in under two minutes.

Built specifically for ML Engineers

Why NeuroTidy beats general-purpose AI Tools.

Feature
Standard AI IDEs
NeuroTidy
Specialization
Generic Autocomplete
Deep Learning Domain Experts
Knowledge Base
Static LLM Data
RAG-Powered (Latest Docs)
Insight Depth
"What" to code
"Why" model is failing
Workflow
IDE-Only
PR + CLI + Terminal
The Philosophy

Intelligent AI Debugging

NeuroTidy provides an automated, AI-driven code review process that pinpoints errors directly in your Pull Requests. Stop guessing and start shipping code with unmatched precision.

Explore Features
Get In Touch

Ready to optimize your workflow?

Have questions about our methodology or platform? We're here to help you achieve absolute mental clarity in your deep learning projects.

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