· AI, Process
What AI-assisted development actually means
AI tools don't replace engineers. They change what a small senior team can deliver in a month. Here's how we use them, and where we don't.
"AI-assisted" gets used for everything from autocomplete to fully generated apps. Here is what it means in our studio, concretely.
What the AI does
The repetitive four-fifths of software work: scaffolding modules, writing tests against a spec, migrating data shapes, translating designs into components. Work with a known right answer, where the tool is faster than typing.
What the engineers do
Everything with a trade-off in it:
- Architecture and data modeling, the decisions you live with for years
- Reviewing every generated change before it merges
- Security, permissions and payment paths, written and audited by hand
- Saying "no, simpler" when a generated solution is clever but unmaintainable
Why clients feel it as speed
A feature that took a two-week sprint now often lands in two or three days, reviewed and tested. Estimates shrink, and demos come weekly instead of monthly. The quality bar doesn't move. The throughput does.
Where we don't use it
Anything involving credentials, billing logic, or personal data handling gets written and reviewed by a person first. The tooling assists; it never approves.
If you're weighing a project and wondering what this does to the budget: usually it means the same scope for less, or more scope for the same. Tell us what you're building and we'll show you the math on your own feature list.