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Paste a snippet
Use the editor to paste real code or load a sample. The app treats it as text, not as executable input.
Paste your code and get detailed technical feedback: bugs, performance, and style. No API key. Your code is never executed.
Two logic errors found. The loop reads past the end of the array.
<= items.length reads past the array. The last iteration accesses undefined.
Line 3items[i].price throws if any item is missing the price field. Validate inputs first.
items.reduce((s, x) => s + x.price, 0) expresses the intent more clearly.
The AI runs on a local server. No account or API key required.
Your code is analyzed as data, never executed. Saved to your history only if you sign in.
Ollama runs on the server. No API costs. No third-party dependencies.
workflow
The experience is designed for practicing code review without preparing repositories, branches, or simulated pull requests.
Use the editor to paste real code or load a sample. The app treats it as text, not as executable input.
Ask for a general review or focus the analysis on bugs, security, performance, testing, or architecture.
Get a summary, prioritized findings, and practical suggestions for improving the code.
Each mode steers the response toward a specific technical review skill, from spotting bugs to thinking about design.
A balanced review for getting a first read on the code.
Flags unclear names, duplication, readability issues, and small design choices.
Looks for logic errors, edge cases, and unexpected behavior.
Reviews common risks such as weak validation, data exposure, or over-trusting inputs.
Finds expensive operations, avoidable loops, and opportunities to simplify.
Analyzes responsibility boundaries, coupling, and clarity between layers.
Suggests test cases and scenarios that help build confidence.
mentor, not judge
The goal is not only to find issues: it is to help you practice the reasoning behind a real technical review.
Each finding should make clear what happens, why it matters, and when it can become a problem.
Severity levels help separate small improvements from risks worth fixing first.
Suggestions are written so you can act, compare alternatives, and improve your judgment.
code safety
The app keeps review, persistence, and AI boundaries separate. Pasted code is treated as untrusted input.
No eval, compilation, or execution is performed on user-submitted code.
The Ollama request runs on the server side so internal details are not exposed to the client.
Reviews are saved to history only when the user signs in.
The MVP uses local AI by default and does not pass external provider costs to the owner.
ready to try
Paste code, choose a focus, and compare the response with what you would have commented in a real review.