I'm an AI and Software Engineer with 20+ years of technology leadership experience, currently focusing on Generative AI and Agentic AI architectures. I specialize in developing Agentic AI systems that solve complex business problems.
Claude Code
Who Still Understands the Code?
AI coding agents make you dramatically faster. The cost they carry is quieter: a slow erosion of how well you understand the software you are shipping. Here is how I have come to think about that trade, and how I try to stay on the right side of it.
AI Engineering
Designing teams for an agentic world
AI coding agents are changing the economics of software development and the shape of engineering organisations. Here is how leaders should rethink build-versus-buy decisions, talent, team structure, platform strategy, and AI governance.
Agent Memory
The Frontier of Agent Memory: From Recall to Experience
Part 3 of a 3 part series post about AI Agent memory architecture.
Speculative Decoding
Trading cheap guesses for expensive forward passes
Query, Key, Values
How to think about Q, K, and V vectors in the Attention layer of a Large Language Model
How Modern Agent Memory Architectures Work
Part 2 of a 3 part series post about AI Agent memory architecture.
Agent Memory
Why Context Is Not Enough
Part 1 of a 3 part series post about AI Agent memory architecture.
On Durable Objects, Orleans, and prior art for the agentic web
Zak Knill wrote a sharp post this week arguing that LLMs are exposing a gap in our standard cloud-native
TIL: Ads in AI chatbots are not just a UX problem
TIL from a paper on ads in AI chatbots that putting adverts inside an AI assistant is not the same
Agentic Architecture
Welcome to Middle Loop Engineering
Where engineering rigour goes now that AI writes the code
GPUs
How fast does it serve? Throughput, latency, and picking the right GPU
Part 2 of 2 on inference engineering for AI engineers.
LLM Scaling
Fitting LLMs on Self-Hosted GPUs
How much VRAM does your LLM need, and which GPU should you actually rent? A free calculator covering DeepSeek, Llama, Mixtral on H100, B200, A100.
Claude Code
The Harness Is the Product
Where does product quality live in an LLM-based system? A leaked source and a detailed postmortem, both from Anthropic in the last four weeks, make the answer unusually concrete.
How "Thinking" Models Actually Work
Lilian Weng's Why We Think is a survey of test-time compute and chain-of-thought reasoning. Here's what I pulled out of it.
Agentic Architecture
Harness Engineering: The Outer System That Makes Agents Reliable
Building a good harness is what separates a good agentic implementation from a great one.
We’re Being Too Loose With the Term “World Model”
I think we are still too loose with the phrase “world model”.
TIL: Quantisation
Quantisation is really a precision-allocation problem.
Claude Code
Write Skills Like Workstations, Not Prompts
Claude Code skills work best when you treat them as workstations, not prompts: folders with scripts, gotchas, templates, and progressive disclosure that manage the agent's attention budget at runtime.
