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.
Senior Technical Director, Nearform
Make AI change how your company works, not just how fast you write code.
That means new ways of working, clear ownership and governance, platforms that hold up under real use, and a way to measure whether any of it is actually working. My background is engineering delivery, so the advice survives contact with production.
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What I work on
All writing →AI Engineering
Turning AI-assisted development into reliable, reviewable delivery.
Platform & Delivery
The platforms, DevOps practices, and delivery systems that help teams ship with confidence.
Experiments & Learning
Hands-on projects that make the tools and their trade-offs concrete.
Recent writing
Browse the archive →Building Jarvis
A private Go project where I learn how agent runtimes, LLM providers, and tool loops actually work.
AI Made Developers Faster. Why Aren't You Shipping More?
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.
AI FOMO
Please Stop Force-Feeding AI FOMO to Others!
I code, AI reviews: My Friday Night Experiment
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.