I’ve been a GitHub Copilot user for quite a while now, but lately I keep hearing about alternatives like Cursor and other AI coding tools. When I tested a few of these newer options, I was impressed by how well they understood the context of my existing projects when generating new code.
I’m curious if anyone has made the switch from Copilot to something else recently. Are these newer tools actually better or is it just marketing buzz? What has your experience been like with different AI coding assistants?
Been using both Copilot and Claude Sonnet through various integrations over the past year. What I’ve found is that each tool excels in different scenarios. Copilot remains excellent for rapid prototyping and boilerplate generation, especially when working within familiar patterns. However, when dealing with complex architectural decisions or debugging intricate issues, I’ve had better results with Claude-based tools that can reason through problems more thoroughly. The key insight from my experience is that no single AI assistant handles every coding task optimally yet. I actually maintain subscriptions to multiple tools now because the cost is relatively minor compared to the productivity gains when you can choose the right tool for each specific task.
tbh i’m still sticking with copilot for now. tried cursor briefly but didnt see enough difference to justify switching my whole workflow. maybe im just used to copilots quirks at this point lol. the autocomplete feels natural and it integrates nicely with vscode which is where i spend most of my time anyway.
I’ve been experimenting with several alternatives including Tabnine and Codeium alongside Copilot over the past six months. What struck me most was how different they perform depending on the programming language. Copilot still dominates when I’m working with Python or JavaScript, but I found Codeium surprisingly effective with Go and Rust projects. The context understanding varies significantly too - some tools excel at understanding business logic while others are better at infrastructure code. Rather than completely switching, I ended up keeping Copilot as my primary tool but using others for specific use cases. The real question isn’t whether newer tools are better overall, but whether they’re better for your particular development patterns and tech stack.
depends on what ur doing really. copilot works fine for most stuff but ive noticed the newer tools like cursor are way better at understanding entire project context. if you’re working on complex stuff where everything connects together, might be worth the switch. otherwise copilot is still solid
I switched from Copilot to Cursor about three months ago and honestly haven’t looked back. The main difference I noticed is how Cursor handles larger codebases - it seems to maintain better awareness of your entire project structure when making suggestions. With Copilot I often got technically correct code that didn’t quite fit the patterns I was using elsewhere in the project. Cursor also feels more responsive when working with less common frameworks or libraries. The pricing is competitive too, which made the transition easier to justify. That said, Copilot has definitely improved since I last used it regularly, so your mileage may vary depending on what languages and frameworks you work with most.