GitHub Copilot

Agent mode changed my mind completely

I was ready to switch to Cursor until Copilot's agent mode landed. Multi-file edits, workspace understanding, and the ability to run commands — it closed the gap significantly. Plus I don't have to manage another subscription or learn a new IDE.

Fine

Copilot writes decent boilerplate. That's about it. For anything beyond CRUD operations or standard patterns, I spend more time fixing its suggestions than I would writing from scratch. The chat feature is mediocre compared to dedicated tools.

Solid and improving fast

Copilot was good a year ago and it's much better now. The completions are more context-aware, the chat understands my codebase, and the new agent features are genuinely useful. It's not the flashiest but it's the most reliable AI coding tool for daily use.

The Tool That Launched a Thousand Dissertations

GitHub Copilot has generated more research questions about human-AI collaboration than any tool since the calculator. In practical terms, it accelerates routine coding by 30-50% based on the studies I've reviewed. It's best understood not as a replacement for programming skill but as an amplifier of existing competence — experts benefit more than novices, which has important implications for skill development.

The safe choice that's actually good

Copilot gets dismissed as the "boring" option next to Cursor, but for enterprise teams it's the right call. GitHub integration, org-wide policy controls, IP indemnity, and completions that are genuinely fast. Our 200-person eng team standardized on it and productivity is measurably up.

Solid in the IDE, Invisible in the Pipeline

Copilot writes good Terraform and Dockerfile suggestions. What I actually want is an AI that reviews my infrastructure-as-code for security misconfigs and cost optimization before it hits production. Copilot helps me write faster; it doesn't help me deploy safer. Two different problems.