I love code and everything around it, especially figuring out what is worth building in the first place. Design thinking helps me start with the people facing a problem. Systems thinking helps me see how a fix fits into the bigger picture, and I like going back to first principles when the usual approach doesn't make sense.
I'm drawn to big, pressing problems, but I look for a small, useful place to start. In my free time, I use GitHub to explore what developers and enterprises are struggling with and build solutions they can try, question and improve.
Skills for AI coding agents, from scoping a problem through verification and handover. FDEOps keeps a local record of decisions so the next session can pick up the work. It installs into Claude Code, Cursor, Codex and Copilot.
The fieldbook, a read-only view of local customer records. Run npx fdeops demo to generate it from sample notes.
Python · FastAPI · Docker · CI on every push · MIT
A reference architecture for generating AI video in batches. The interesting part for me is the workflow around generation: routing jobs between models, retrying failures and tracking cost. The README documents the operating limits and what would need to change for larger runs.
Python · LangGraph · GitHub Action · Tests · MIT
Three agents review a pull request with different priorities. Findings backed by at least two reviewers are marked "fix it"; a human can inspect the reasoning in the review comment. Agreement is a signal to investigate, not a guarantee that the finding is correct.
Merged fixes in OpenClaw: Slack reconnects, Telegram approvals, Ollama model IDs, OpenAI reasoning blocks and hook context.
- Multi-Cloud Handbook for Developers (Packt), a book on designing and running cloud-native applications across AWS, Azure and GCP, co-written with Jeveen Jacob.
- Agentic AI Architecture Framework for Enterprises on InfoQ, co-written with Ahilan Ponnusamy.
- Articles on The New Stack about multicloud strategy and FinOps.
- FDE field notes, a newsletter on forward deployed engineering.
If you try one of these tools, I'd like to hear where it helps and where it falls short. Reproducible problems and small contributions are welcome.