I've shipped production code with all six of these tools. Here's what I'd pick again — and what I wouldn't.
🕐 Updated June 2026 · 6 sectionsI remember when Copilot first dropped — it felt like magic. Now there are a dozen tools claiming to write your code for you. I've used each of these on real projects with real deadlines. Some genuinely speed me up. Others added more friction than they removed. Here's the honest breakdown.
The VS Code fork where AI isn't bolted on — it's the whole point. Tab completion that actually reads your mind, inline editing that doesn't break things, and multi-file awareness that's saved me hours of context-switching.
If you live in VS Code, this just works. The completions feel like autocomplete on steroids. Chat interface is solid for quick explanations. Nothing flashy, but it rarely gets in your way.
This is the one that feels like a real engineer pair-programming with you. Give it a multi-file task and it reads, edits, runs tests, and commits. Scary good on large codebases, but you'll want to review its work carefully.
The generous free tier is no joke — I used it for weeks without hitting a wall. Cascade mode handles multi-file edits competently. Not as polished as Cursor, but at this price it's hard to complain.
Terminal-native, Git-aware, and model-agnostic. The map-refine approach handles massive codebases surprisingly well. Steep learning curve, but nothing beats the flexibility of bringing your own model.
No setup, no config — just describe an app and it builds it. Perfect for prototyping ideas in a browser tab. Seasoned devs will outgrow it, but for learning or quick demos it's genuinely fun to use.
Windsurf has generous free tier. GitHub Copilot free for students. Aider is free if you bring your own API key.
Yes, with supervision. AI handles 60-80% of routine tasks. Complex architecture still needs human judgment. Always review.
Cursor better for autonomous editing and multi-file. Copilot excels at inline completions. Many developers use both.
All major: Python, JS, TypeScript, Java, Go, Rust, C++. Niche languages have less training data.
No, but AI users are 2-3x more productive. Role shifts from writing code to designing systems and reviewing AI output.