Write a clear spec, let AI build it
We turn product ideas into specifications an LLM can execute — behaviour, edge cases, data models and acceptance criteria written down before anyone opens an editor.
AI is only as good as the instructions you give it.
Most teams start coding and work the requirements out along the way. With a model in the loop that gets expensive fast: a vague prompt produces plausible code for the wrong problem, and review catches it a day later.
Spec-driven development inverts the order. Using tools like OpenSpec, we write the specification first — what gets built, how it behaves at the edges, which data it touches, and how you will know it is done. People and models then read the same document.
The spec keeps earning its place after the build: it is what you review the output against, and the documentation that is still accurate a month later.
Coding before the spec ships the wrong feature, quickly.
Vague prompts produce plausible code that solves the wrong problem.
Review cycles stretch when nobody wrote down what done means.
Rework quietly consumes most of your engineering capacity.
Hand-written documentation is stale the week after release.
Without a shared spec, two teams build two different products.
From idea to production
Six steps from a rough idea to merged code, with the spec as the single source of truth.
1. Capture the idea
We start from your feature request or user story and pin down the business outcome, the people it serves, and what is explicitly out of scope.
2. Write the spec
We turn that into a structured specification in OpenSpec, covering behaviour, edge cases, data models and acceptance criteria.
3. Plan the build
The spec breaks into ordered tasks with defined inputs, outputs and dependencies — small enough for an agent or a developer to finish cleanly.
4. Generate the code
An LLM builds against the spec rather than a paragraph of chat, so the output matches the requirement the first time far more often.
5. Review against the spec
Acceptance criteria give review something objective to check. Gaps surface as spec changes, not as arguments in a pull request.
6. Ship and keep the spec
You deploy, and the spec stays as living documentation — your team can see what was built and why without reading the diff.
Every engagement includes
- Specs written for the features on your current roadmap.
- OpenSpec set up in your repo, with your team trained on it.
- Features broken into agent-ready tasks.
- AI-assisted implementation against the spec.
- Spec review and acceptance-criteria sign-off.
- Living documentation that updates with the code.
- A hands-on workshop on the spec-driven workflow.
- Ongoing support as the process settles in.
Ready to build from a spec?
Bring the next feature on your roadmap to a free 30-minute call, and we'll write the first spec with you.