AI Labs  /  How We Build with AI
AI Labs · How We Build

AI writes code fast.
Discipline makes it trustworthy.

Our platforms are built alongside AI — and held to engineering rules that most software teams would envy. Here's how we make AI-built software dependable enough to run a trading floor's network.

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Our rules

The discipline behind every release

Nothing ships red

Lint, compile, type checks, thousands of automated tests and browser-driven click-path checks — every release, no exceptions.

Test the safety nets

Safety checks are deliberately broken in testing to prove they fire. A guard that can't fail is decorative.

Verify, don't assume

Changes are checked on the live screens people use, in both directions — no false alarms and no false all-clears.

Every defect has a root cause

Bugs are logged with why they happened and what rule now prevents them from returning.

Rules in code, facts in the database

Operators change settings in the app — never by editing code — and every change is audited.

Safe, reversible releases

Versioned releases, snapshots before every deploy, health checks after, and a rollback point every time.

AI in the loop

How AI and engineers share the work

  • AI drafts, researches and tests at speed
  • Engineers set the rules, review the evidence and make the decisions
  • AI features answer only from verified data, with evidence shown
  • Sensitive data is masked before it ever reaches an AI model
  • AI usage is capped and costed per task
# a release, the Haventech way
build feature + tests, written with AI assistance
gate lint · types · tests · coverage floor
verify real screens, real data, screenshots judged
ship snapshot → deploy → health check
rollback point recorded · lessons written down
Let’s talk

Want software built this way?

Call or email and a Haventech engineer will walk you through what AI can do for your business. Mon – Fri, 6:30 am – 5:00 pm.