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A process built for AI agents, and for the people who check them.

Great kitchens run on mise en place: everything prepared, labelled and in its place before the first order comes in. AI-first software works the same way. The agents are fast; the process is what makes them right.

A chef plating a dish with precise tweezers
Photo: Sebastian Coman Photography / Unsplash

Best practices

Ten habits that make AI-built software trustworthy.

Speed without these is just a faster way to build the wrong thing. Each one is written down and checked, not left to memory.

1

Start from the outcome

What should a customer be able to do when this ships? Everything else follows from the answer.

2

Spec first, in plain English

A short written spec the agents build from and you can read. When the spec changes, the code follows it.

The recipe comes before the cooking.
3

Prototype before you build

Click it before anyone commits to it. Cheap mistakes early beat expensive ones late.

4

Small senior team, many agents

People decide and review; agents draft, test and document. Nobody’s job is to retype a ticket.

5

Context is part of the product

Decisions, lessons and project rules live in files the agents read before every task, so they don’t repeat old mistakes.

6

Skills for repeatable work

Reviews, releases and documentation follow written procedures the agents run the same way every time.

7

Tests are the architecture

The rules of your product are encoded as automated checks that run on every change. A rule that lives in one person’s head is one holiday away from being broken.

8

Check that it works, not just that it runs

Software can render perfectly and do nothing. We test the outcome in a real browser, not just the absence of errors.

9

Trace everything

Every change links to a ticket, the spec it came from and the tests that cover it, from requirement to release.

10

Ship small, ship often

Test environment first, then production. Small releases are easy to check and easy to roll back.

Language agnostic

Your stack, your cloud, your code.

AI agents are fluent in nearly every mainstream language and framework, and so is our process. We build in what fits your product and your team, not in whatever we happen to prefer.

  • Existing codebase? We work inside it, in its conventions.
  • Starting fresh? We recommend a stack your team can hire for and run.
  • Any cloud: AWS, Google Cloud, Azure, or something simpler if that’s all you need.

You own everything: the repository, the infrastructure, the documentation and the tests. If your team takes over tomorrow, nothing is locked in a vendor’s head or a proprietary tool.

TypeScriptJavaScriptPythonGoJavaC#KotlinSwiftRustRubyPHPSQLReactNext.jsVueNode.jsDjangoFastAPI.NETSpringReact NativeFlutterPostgresTerraformAWSGoogle CloudAzure

A sample, not a limit.

Human in the loop

Where people decide, and where agents do.

People decide

What to build, the architecture, security, what not to build, and whether it’s ready to ship.

Agents do

Draft code, write and run tests, fix what failed, write documentation and review each other’s work.

Everyone checks

Nothing ships until it passes the automated checks and a person has seen it work.

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Got an idea that’s been stuck in the backlog?

Tell us what you want built. You’ll hear back within one business day with questions, a rough plan and an honest view of whether AI-first is the right fit.