AI for Engineering

AI-assisted software delivery.

Not a chat tool — a structured application of AI to the hard parts of shipping software. Spec-to-scope, legacy audits, architecture extraction, test generation, and documentation that stays in sync.

// scope

What we deliver in this practice.

Spec-to-scope
Turn PRDs and Slack threads into structured backlogs with estimates, dependencies, and risk flags.
Architecture extraction
Diagrams and dependency maps generated from running codebases. Kept in sync with every PR.
Code analysis
Static analysis + LLM review for quality, security, and consistency. Catches issues humans miss.
Legacy audit
Assessment of inherited codebases — what's safe, what's rot, what's the modernisation roadmap.
Ticket generation
Feature briefs become well-scoped Jira / Linear / GitHub issues with acceptance criteria.
Test generation
Unit, property-based, and regression tests generated from existing code. Coverage gaps closed automatically.
Docs generation
Internal and external documentation from code, tickets, and conversations. Updated with every release.
// built on

Got a codebase that needs a health check?

Send us read-only access. In 5 days we return a report: what's safe, what's risky, what to prioritise.

Talk to us