AI-Assisted Development – One Year with GitHub Copilot
June 1, 2024
AI pair-programming tools are no longer hype. After using GitHub Copilot daily for over a year, I can say it’s changed how I code – and not just in small ways.
What Copilot Helps With
Here’s where Copilot saves me time every day:
- Boilerplate – It writes out
useEffect
,useState
, API call scaffolding, even basic CSS and Tailwind classes. - Unknown syntax – If I vaguely remember how to write a Prisma query or a new regex pattern, it fills the gap.
- Test cases – I write a function, and it often autocompletes good test scenarios using Vitest or Jest.
- String manipulation or parsing – These are boring. Copilot makes them fast.
- Markdown, README, docs – I don’t love writing these, but Copilot makes suggestions to speed it up.
What Copilot Gets Wrong
Copilot isn’t magic. It guesses.
- It sometimes makes things up.
- You still need to verify logic and types.
- It might pull in patterns that are outdated or not idiomatic.
- It doesn’t understand the big picture of your code – only what’s around your cursor.
How to Use It Well
- Be active – Treat Copilot like a junior pair. Let it start, but you edit.
- Edit heavily – Use suggestions as a base. Don’t trust without reading.
- Avoid for sensitive or license-restricted code – Generated output might not be safe to copy blindly.
Overall Impact
After a year, I’m more productive. I write more. I finish side projects faster. I explore unfamiliar libraries without getting blocked.
The key? I use it as a boost, not a crutch.
Copilot won’t replace you. But it can help you code more, try more, and learn faster – if you drive the process.
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