Make AI coding agents a dependable part of your engineering process.

Your team may already use AI to write code. The harder problem is turning that output into changes that are well scoped, reviewed, tested, and safe to release.

I help founders and engineering teams design and implement a practical workflow that connects AI-assisted development with engineering standards and human accountability.

WHAT I CAN HELP WITH • Identify where AI helps delivery and where it creates rework. • Define repository instructions and task acceptance criteria. • Structure agent tasks with the context and boundaries they need. • Connect issue tracking, coding agents, pull requests, and CI. • Establish automated checks and human review points based on change risk.

WHAT YOU GET • An assessment of your workflow and its main bottlenecks. • A workflow design covering task intake through review and release. • Repository guidance and reusable task templates. • Integrations and automated checks for the agreed scope. • A pilot on a representative engineering task. • A team playbook and handoff session.

HOW WE WORK We review how your team ships today, select a workflow worth improving, and define success criteria. I implement the agreed setup, validate it through a real task, and refine the process based on what we learn.

WHY ME I designed and implemented an agent-driven software delivery pipeline connecting Jira, MCP, and GitHub Actions, with engineering rules, automated review, testing, CI risk classification, and human validation.

Tell me which AI tools your team uses, how changes reach production, and where the process gets stuck. We’ll scope a practical audit or implementation.