Hey everyone! I’ve been spending way too much time manually writing unit tests for our React and Node.js backend lately, and it’s honestly starting to slow down our sprint velocity. I’m curious if any of you have had real success with AI tools specifically for automated test generation? I’ve experimented a bit with GitHub Copilot and CodiumAI, but I’m looking for something that can actually handle complex edge cases and mocking dependencies properly without constant manual fixing. We’re aiming for high coverage, but the boilerplate is just killing us. Have you found a tool that truly understands code context rather than just guessing? Which one would you recommend for a professional production environment?
Just sharing my experience: basically used GitHub Copilot Individual for $10/mo for simple Jest boilerplate. Be careful tho, it struggles with complex dependency injection... idk. TL;DR: cheap tools still need fixing.
Yo! Totally agree with the above comment. GitHub Copilot Individual is decent for basic stuff, but once you start hitting heavy dependency injection or complex React hooks, it kinda falls apart... honestly you end up spending more time fixing the mocks than writing the actual logic. I've been using a few different setups for our Node.js backend and React frontend, and if you're looking for better context awareness without spending a fortune, these two have worked well for me: * Tabnine Pro: At about $12/month, it's a steal. Unlike the basic tools, it actually indexes your local codebase. This means it catches onto your specific setup and mocking patterns way better. It's been REALLY reliable for generating those annoying edge case tests where you need to mock nested service calls.
* Codeium Teams: Their context awareness is honestly great for the $12 price range. It's super fast, and I've found it guesses the right types in TypeScript much better than the standard Copilot. Basically, you gotta look for tools with deep local indexing. If the AI doesn't know your specific mocks folder exists, it's gonna fail. Tabnine Pro handles this well because it isn't just guessing based on generic training data. Honestly, for the price of two coffees, the reduction in boilerplate is totally worth it. It really helps maintain that sprint velocity when you arent fighting the IDE. Good luck!
Regarding what #1 said about "Just sharing my experience: basically used GitHub Copilot..." - yeah, I had a pretty similar letdown. I tried using the standard Copilot setup for a Node backend with a lot of complex middleware, and it was just... bad. It would hallucinate library methods that didnt even exist, and dont even get me started on how it handled Sinon mocks. Total waste of time. I've actually been using Cursor IDE lately because it lets you index your whole folder. It uses Claude 3.5 Sonnet under the hood which is lightyears ahead of the older models for writing tests that actually run. It's $20 a month for the Pro plan, but honestly, if you're looking at the cost of your time, it pays for itself pretty fast. If that's too pricey, I also tried Supermaven Pro. They have a massive context window which is huge for when you have a big repo and need the AI to actually see your helper files and global mocks. It's around $10 a month for the pro tier. Still not a magic bullet tho, you still gotta double check the logic, but it's way less painful than the basic extensions.