Compare · Using AI
Coding assistants compared
Assistants draft; you own architecture, tests, and security. Use this page to pick a starting tool — then practice scoped jobs.
Tool shapes
- GitHub Copilot — inline completions in the editor.
- Cursor — AI-native editor with repo-aware chat and multi-file edits.
- ChatGPT / Claude — strong for planning and explanations outside the IDE.
- Local (e.g. Ollama + editor plugins) — privacy-sensitive prototyping.
Shared rules
Write acceptance tests first, limit files in scope, read every diff, and never paste secrets. Practice with AI for coding and scope a coding task.
FAQ
Which coding assistant is best?
There is no universal winner. Optimize for your editor workflow, repo context quality, and whether you need chat, inline complete, or agentic multi-file edits — then keep tests as the boss.
Are local coding models safer?
They can reduce data leaving your machine, but you still must review diffs, avoid secrets in prompts, and run security checks.