Reviews and comparisons of AI coding tools developers actually keep open — Cursor, GitHub Copilot, Claude Code, agents and assistants — tested on real work.
One tool at a time, tested on real work, with the version and the time spent stated up front.
Hands-on notes from using a terminal coding agent for a week on a codebase I did not write: where autonomous multi-file work paid off, and where supervision was cheaper than delegation.
A hands-on review of Cursor as a daily driver on an existing production codebase — where agent mode earns its keep, where it costs you time, and who should stay in their current editor.
The same task run through each tool, then a recommendation per use case instead of a single winner.
A use-case comparison of Cursor and GitHub Copilot run through identical tasks — refactoring, a new feature, an unfamiliar codebase and test writing — with a recommendation for each.
A hub appears here only when Hamzify has enough published pieces about that tool. These are indexes, not extra reviews.
Reference pieces on how the tool categories fit together, updated in place rather than republished.
A guide to the AI development tool landscape organised by the job each category does — editors, agents, CLI tools, review bots and model routers — and how to tell when you need one.
