Advisory & Consulting

The kinds of problems

• AI-native engineering

  Taking coding agents from ad-hoc use to a repeatable delivery path with shared context, review boundaries, and verification that survives contact with CI.

• Developer workflows and tooling

  Reducing the distance between an approved change and a verified, reviewable pull request — conventions, harnesses, and the automation around them.

• Distributed and event-driven systems

  Designing ingestion, processing, and reporting paths that stay observable and correct at production event volumes.

• Infrastructure and platform work

  Serverless and cloud architecture, infrastructure as code, and the operational instrumentation that tells you what happened.

• Workflow automation

  Replacing manual handoffs across forms, CRMs, spreadsheets, and backend logic with systems a team can maintain without one person’s memory.