I've been a developer for a few years now, but lately, I feel like the landscape is shifting so fast that it’s hard to keep up. I’ve been using GitHub Copilot for basic boilerplate and autocomplete, which definitely saves time, but I’m starting to wonder if I’m missing out on more powerful features elsewhere.
I keep seeing people rave about Cursor and how its deep integration makes it feel like the AI actually 'understands' the whole project rather than just the current file. Then there’s Tabnine and Codeium, which seem to have different strengths, especially regarding privacy and local models. I mainly work in a React and TypeScript environment with some heavy Node.js backends, so I really need something that excels at complex refactoring and bug hunting across multiple files.
I’m curious to know what everyone else is actually sticking with for their daily workflow. Is it worth switching my entire IDE for something like Cursor, or should I stick to VS Code extensions? Also, are there any hidden gems that handle large, existing codebases better than Copilot? I'd love to hear your experiences—especially if you've compared a few of these head-to-head recently!
Quick reply while I have a sec. In my experience, I would suggest trying Cursor AI Code Editor for your React and Node.js setup. Honestly, the deep indexing makes a huge difference for bug hunting across multiple files compared to just a standard plugin. I've seen a lot of tools come and go over the years, but this one is actually legit for complex stuff. Just be careful about the subscription costs stacking up if ur trying to stay budget-conscious. If ur looking for the best value, here's the breakdown:
* Codeium Individual - This is lowkey the best "hidden gem" cuz it's free for individuals and the autocomplete is basically as solid as Copilot.
* Cursor AI Code Editor - The Pro version is $20/mo, which is pricey, but the Composer feature is amazing for refactoring. Basically, if u want raw power, go Cursor. If u want to save cash, Codeium is the way to go. I would suggest starting with the free tiers first. gl!
^ This. Also, been thinking about your question since I went through this same crisis a few months back. One thing I'll warn you about is the context trap. Everyone raves about tools that index your whole repo, but in my experience, that often leads to the AI pulling in deprecated patterns from your own legacy files. I once let a tool refactor a complex Node service and it basically reintroduced a bug we'd squashed months ago because it saw the old logic in some temp files it indexed. Total mess. If you're worried about privacy or just getting bored of the standard extensions, maybe try the local model route. Running your own inference server on your machine lets you keep your code off the cloud, which is a huge deal if you're working on anything sensitive. It is definitely more of a learning curve than just installing a plugin, but you get way more control over how the AI treats your files. Just be careful tho... once you start tweaking parameters and local setups, you can spend more time optimizing your workflow than actually shipping features. It's a massive time sink if you aren't disciplined. Stick to the basics until you really need the heavy lifting.