GitHub Copilot

I've been using GitHub Copilot daily for about six months, mostly on TypeScript and Python projects. It's the coding assistant I have open more than any other tool — not because it's the most powerful, but because it's the least friction.\n\nThe autocomplete is where Copilot earns its keep. I'll start typing a function name and it'll fill in the body with the right imports, error handling, and variable names — usually correctly on the first try. It's learned my codebase's patterns, my naming conventions, even my preference for certain libraries over others. The GPT-4o upgrade last year made a noticeable difference: it predicts entire functions now, not just single lines, and the suggestions feel less like guessing and more like it actually understands what I'm building.\n\nCopilot Chat is solid for focused tasks. I use it to explain unfamiliar code (especially when I'm jumping into a new repo), generate unit tests, and refactor functions. It's not as powerful as Cursor's codebase-aware agent — it works file-by-file, not across your whole project — but for quick questions and single-file work, it's fast and reliable.\n\nThe integration is seamless. It works in VS Code, JetBrains, Visual Studio, Neovim — basically wherever I code. I don't have to switch editors or learn a new workflow. For teams already on GitHub, the business tier ($19/month) adds security controls and usage policies that IT departments care about.\n\nThe pricing is reasonable: $10/month for individuals, free for students and open-source maintainers. At that price, the autocomplete alone justifies the cost — I estimate it saves me 30-40 minutes a day on mechanical coding tasks.\n\nWhere Copilot falls short is deep codebase understanding. If I need to refactor something that touches 10 files, or ask questions about how modules interact, Cursor does that better. Codeium is free and surprisingly capable. But for most developers, Copilot's maturity, integration, and reliability make it the default choice. If your company provides it, use it. If you're paying personally and want the most advanced features, try Cursor too.

I started using Copilot in early 2024 when my team adopted it company-wide. I was skeptical — I'd tried Tabnine and it was mostly useless — but Copilot was different. Six months later, I can't imagine coding without it.\n\n**The autocomplete is genuinely good.**\n\nHere's what actually happens when I code: I'll type a function signature like `async function fetchUserData(userId: string)` and Copilot will fill in the body — the API call, error handling, type validation, even the logging statement I always include. It's not always right, but it's right about 70% of the time, and the other 30% is close enough that I'm editing, not writing from scratch.\n\nThe model has clearly learned from my codebase. I work on a Next.js project with a specific folder structure, naming conventions, and a custom API client we built. Copilot picks up on all of that. When I start a new API route, it suggests the same middleware pattern, the same error response format, the same test structure. That consistency saves me mental energy — I don't have to remember our conventions, Copilot reminds me.\n\n**Where it struggles:**\n\nCopilot works file-by-file. If I ask it to "refactor the authentication logic," it can only see the current file. It doesn't know that changing the auth middleware means I also need to update the API routes, the tests, and the documentation. For that kind of cross-file work, I switch to Cursor.\n\nThe chat feature is useful but limited. I use it to explain code I didn't write (especially when I'm onboarding to a new part of the codebase), generate boilerplate tests, and debug errors. It's not going to architect a feature for you or make strategic decisions about your codebase. It's a very good autocomplete with a chat sidebar.\n\n**Real productivity numbers:**\n\nI tracked my output for a month. With Copilot, I was completing tasks about 35% faster — mostly because the mechanical parts of coding (writing types, setting up tests, boilerplate) happen almost automatically. The time savings are real, but they're not magical. I'm still thinking through architecture, debugging complex issues, and reviewing Copilot's suggestions critically.\n\n**The pricing makes sense:**\n\n$10/month for individuals is a no-brainer. I spend more on coffee. The business tier at $19/month adds things I don't care about (usage analytics, IP indemnity, policy controls) but my company does. For students and open-source maintainers, it's free — which is how GitHub built its user base.\n\n**Alternatives I've tried:**\n\nCodeium is free and surprisingly good. The autocomplete is fast, the suggestions are reasonable, and you can't beat the price. But it doesn't have Copilot's codebase learning or the chat integration. Cursor is more powerful for complex, multi-file work, but it's a whole new editor — I wasn't ready to leave VS Code. Amazon CodeWhisperer is fine if you're deep in AWS, but the suggestions feel less polished.\n\n**My honest take:**\n\nCopilot is the coding assistant I use because it's there, it works, and it doesn't get in the way. It's not the most advanced tool — Cursor does more — but it's the most reliable. For most developers, that's what matters. You want something that saves you time without requiring you to change how you work. Copilot does that.\n\nIf you're paying personally and want the cutting edge, try Cursor. If you want free, try Codeium. But if your company provides Copilot, or you just want the most frictionless experience, stick with it. The autocomplete alone is worth $10/month.