Pathwoven helps engineering teams adopt AI coding agents and modernize DevOps workflows — calmly, securely, and without breaking what already works.
I work with engineering teams navigating the messy middle — where AI tooling meets real codebases, where compliance matters, and where the goal isn't transformation theater but systems people can actually sustain.
Adopt AI coding agents (Claude Code, Codex CLI, Copilot) into your existing codebase without alarming compliance. Context engineering, codebase configuration, and workflows your team can sustain.
CI/CD pipeline architecture, multi-repo automation, branch hygiene, and deployment design. Clean systems that reduce friction and don't require constant maintenance.
PR workflows, test automation strategy, context documentation, and engineering process design — especially for teams with compliance obligations and real legacy to manage.
Senior-level C# / .NET, JavaScript, and Python. I write the code, not just the strategy. Test automation, frontend architecture, performance optimization, and the unglamorous work that makes systems reliable.
I help engineering teams integrate AI dev tooling and modernize DevOps workflows — calmly, securely, and in ways their teams can actually live with.
I founded Pathwoven on a simple idea: tools should serve people, not the other way around. The best engineering work extends what humans can do without turning them into appendages of their own systems. AI fits that description when it's done right. So does a clean CI/CD pipeline, a thoughtful PR workflow, or codebase context written so a senior engineer can think clearly about hard problems instead of drowning in noise.
I spend a lot of time thinking about how AI coding agents change the daily reality of building software. The interesting work isn't the tools themselves — it's the question of how to weave them into systems people can actually live and work inside, especially when the codebase has history, the team has compliance obligations, and the legacy is real.
When I'm not heads-down on a codebase, I'm with my partner Amanda and our kids — usually outdoors, often watching birds, occasionally plotting our next adventure.
Practical engineering writing — not thought leadership, not hype. Patterns and tradeoffs from work I've actually done.
A practical playbook for the three questions compliance will actually ask — and the architecture patterns that answer them. Context engineering, audit trails, and the configuration-as-code patterns that make it work.
What happens when you give two AI coding agents the same codebase, different strengths, and a shared context file. A real workflow walkthrough with honest cost and quality tradeoffs.
If you're trying to figure out how to bring AI tooling into your team without alarming compliance, simplify a CI/CD setup that's gotten too complicated, or rebuild a workflow your team can sustain — I'd love to hear what you're working on.