I build software and write about doing it with AI in the loop. Hamzify is where the notes live: tool tests on real tasks, build logs from projects I actually shipped, and the workflows that survived more than one week of use.
The reason this site exists is that most writing about AI coding tools is either a launch announcement or a screenshot of something that worked once. Neither helps you decide what to open tomorrow morning. So the pieces here state what was built, how long it took, which version of which tool was used, and where the whole thing fell over.
If something here is wrong or out of date, I would genuinely like to know — corrections get published rather than quietly patched.
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 full build log of shipping a small SaaS with coding agents doing most of the typing: what the agents handled well, the three places they stalled, and what a human still had to own.
A repeatable five-step loop for working with an AI coding assistant on a real codebase: brief, constrain, generate, verify, integrate — and what belongs in each step.
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.
A reference checklist for what an AI coding agent needs to know before it starts: the seven inputs that change output quality, and the ones that only add noise.
A review workflow tuned to the specific mistakes coding models make: a triage order, the six failure patterns worth hunting for, and where to spend your attention.
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 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.
An experiment in single-prompt development: one paragraph of requirements, an agent, and a Chrome extension that has to actually load in a browser and work.
A build log of rebuilding a developer portfolio in a weekend with AI writing most of the code — the design decisions that had to stay human, and the performance work that got missed.
An experiment in shipping a small real product in a single evening with AI doing most of the implementation — and an honest account of which shortcuts were fine and which were debt.
