Development
How we use AI to build software
AI is not a replacement for our developers. It's an enhancement.
Our teams work with AI every day. For code review, for research, for dissecting legacy code. Things that normally take an hour, done in ten minutes. But we don't just let AI loose on code.
What AI DOES do for us
Code review
Every change — from human or AI — goes through an independent AI review. A second pair of eyes that checks for bugs, security issues, and deviations from coding standards.
This is our digital four-eyes principle.
Research and context
New codebase? Legacy system? AI helps us understand what's there faster. Not by guessing, but by reading documentation, recognizing patterns, and answering questions.
Debugging
Stack traces, logs, error messages — AI helps us get to the core of a problem faster. What used to take an hour of searching is now often five minutes.
Documentation
Explaining code, writing READMEs, drafting technical specifications. AI does the first draft, a developer finishes it.
Guardrails
Before AI does anything, it gets context:
- Our coding standards
- The project structure
- What is and isn't allowed
The same context a new developer would get. And the same rules.
What AI does NOT do for us
Make decisions
AI advises, a developer decides. Always.
When AI says "remove this function", a human checks first. When AI says "this dependency is outdated", a human verifies if updating is safe.
Push code without review
Not a single line of code — from human or AI — goes to production without someone having looked at it.
Access client data
AI works with code, documentation, and logs. Not with production data from clients.
The philosophy
The best AI implementations are the ones where you forget about the AI. You only notice that code gets reviewed faster, bugs get found quicker, and developers have more time for the complex things that require real expertise.
AI as a tool in the hands of good developers. Nothing more, nothing less.