Hey everyone! I'm developing a tool that functions like an AI-powered senior engineer, providing reviews for code at scale. Unlike standard linters or simple AI helpers, this tool dives deep into your entire codebase to offer insightful, context-aware feedback. Here's what it can do:
- It grasps the structure and flow of extensive monorepos or multi-service projects.
- It assesses code quality, maintainability, design patterns, and logical consistency.
- It spots anti-patterns, potential bugs, and unclear implementations.
- It's designed to support human code reviews instead of replacing them.
This tool is aimed at developers seeking an additional layer of review during pull requests, refactoring, or cleaning up legacy code. I'd love to hear your thoughts on:
- Would you integrate something like this into your workflow?
- What challenges do you currently face with code reviews?
- What features would genuinely enhance its usefulness for you or your team?
I'm happy to provide more details if anyone's interested!
4 Answers
If this service actually delivers on its promises, it shouldn’t be tough. I mean, analyzing typical JS code often reveals a mess. The recommendation would usually be to just scrap it and start over!
I think you’re asking the wrong thing here. The market's already flooded with similar tools, so the real question is how you’ll attract attention. It’s tough to stand out, even if you have a great feature. Maybe focus on how you can differentiate yourself first?
I’d give it a shot if it could create a structured blueprint and style guide for existing repos. For example, in a Node.js server setup, it should fully grasp ORM, DAO, middleware, and tackle outdated anti-patterns.
Honestly, I’m not sold on this. I doubt it would work effectively. I think AI can get you from 0 to 70% quickly, but relying on it for code reviews can be very hit or miss, no matter which model is used.
I’ve been there too! Tools like these can be unreliable when it comes to real code review tasks.
That’s a valid point! Getting noticed is crucial. Do you know of any similar projects that have actually made a mark in this area?