Ways to work with us
AI-assisted engineering with people accountable for every change.
Our engineers use AI agents to move faster on well-defined work. Specifications, permissions, tests and review keep that speed safe. This page explains the method; if you want an AI system for your business, see AI automation.
What this means for your project
- Agents work on bounded tasks with a written specification, never open-ended goals.
- Every change arrives as a reviewable pull request with tests.
- Agents get only the tool permissions a task needs; production access stays with people.
- A named engineer is responsible for each change that reaches production.
The controls we apply
Specification first
Each agent task starts from a short spec: goal, constraints, files in scope and the checks it must pass.
Shared context
Architecture notes and decision records live in the repository so agents and people work from the same facts.
Verification
Tests, type checks and human review before merge. Small diffs; no silent rewrites of critical files.
Data handling
We agree which AI tools may see your code before work starts, and follow your security rules.
The loop on a single task
- 01
Specify
Engineer writes the task, scope and acceptance checks.
- 02
Generate
Agent proposes changes within its permissions.
- 03
Verify
Tests and type checks run; engineer reviews the diff line by line.
- 04
Own
Engineer merges and stays accountable for the change in production.
FAQ
Will AI see our proprietary code?
Only with your agreement. We list the tools and providers involved and can work without them on restricted code.
Does this make projects cheaper?
It can shorten well-defined work, which is one reason we can offer a 30-day MVP for a fixed scope. We do not promise a fixed productivity multiplier.
Next step
Want to see the method on your codebase?
Tell us about your project and your security constraints. We will explain how we would set up the work.