AI Engineering: From Faster Coding to Reliable Delivery
AI Engineering is the design of workflows, platforms, quality systems, evaluations, governance, and delivery practices that make AI-assisted development useful in real organizations.
Writing
A practical collection of writing on AI Engineering, platform delivery, and hands-on experiments.
These are the three threads running through my work and writing.
AI Engineering is the design of workflows, platforms, quality systems, evaluations, governance, and delivery practices that make AI-assisted development useful in real organizations.
A private Go project where I learn how agent runtimes, LLM providers, and tool loops actually work.
We cut months of implementation down to eight weeks. Then the pull requests piled up. AI made coding faster, but the rest of delivery still had to catch up.
Please Stop Force-Feeding AI FOMO to Others!
A quick Friday night experiment: I coded a trie in Go and asked an AI to review it. Here's the hilarious feedback I got.
What I took away from the 1st Italian Forum on Artificial Intelligence for Industry. Italy is doing much more than I imagined to support the industry during this transition.
Amodei's More Measured Perspective on SWE Automation
2025 has been quite a year. Let's look back at the highlights and lessons learned.