Case study · Technology · Engineering
A high growth technology companyEngineers ship faster and safer with a framework built for them.
AI coding tools are only as good as the guardrails around them. We built a custom framework on top of Claude Code and Cursor, wired to the company's own standards, review gates, and codebase, so engineers move faster without loosening the bar on quality or security.
The problem
AI coding assistants were already in the building, but usage was ad hoc. Output quality swung wildly, and there was no shared way to keep AI written code inside the team's standards for review, testing, and security.
Faster code that still passes the same bar we hold humans to.
The upside of AI in the editor is real, but only if it's governed. A framework, not a free for all.
What we shipped
A custom framework layered over Claude Code and Cursor, tuned to how this team ships.
Standards baked in
Company conventions, review gates, and security checks encoded so the AI works inside the team's guardrails by default.
A shared workflow
One consistent way for every engineer to use the tools, instead of everyone improvising their own prompts.
Safer by construction
Changes flow through the same checks a human PR would, so speed doesn't come at the cost of correctness.
Outcomes
What changed after the rollout.
Faster delivery
Engineers ship more with the AI doing the grunt work, and spend their time on the design decisions that actually need a person.
Quality held
AI written code passes the same review, test, and security bar as everything else, so velocity doesn't create risk downstream.