Agentic Architecture
Understanding Generative UI
A Layered Walkthrough of the Generative UI paper everyone is talking about
AI Agents
Senior Developers Are Better at Using AI Agents
Experience matters more than prompt engineering. Senior developers outperform juniors with AI agents because they have decades of pattern recognition. They know what good code looks like, what to ask for, and when the AI is wrong.
AI Agents
MCP + A2A: The Protocols Making AI Agents Actually Work Together
I presented this at the AI Engineer meetup in London. It is a short, practical overview of why agent interoperability
Prompt Engineering vs Context Engineering
From Anthropic: https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
Prompt Engineering:
Prompt engineering refers to methods for writing and organizing LLM
AI agents are starting to do real work
Ethan Mollick argues that AIs have quietly crossed a line. OpenAI recently tested models on complex, expert-designed tasks that usually
Vibe Coding
Cargo Cult Vibe Coding
In the age of AI code generation, we risk trading craftsmanship for ritual
It's the 1940s in the
AI Engineering
The Rubber Duck That Talks Back
How AI is Teaching Developers to Think Before They Code
Machine Learning
AI Agents Are Getting Twice as Capable Every 7 Months
Why Agent Orchestration Is the Next AI Breakthrough
AI Engineering
Guardrails for Agentic AI
How to Keep Your Autonomous Agents Safe and Aligned
AI Philosophy
Five Hypothesis On The Future of AI
Despite the blistering summer of AI that we are currently experiencing, most discussions about the future of AI today tend
Vibe Coding
Vibe Coding, Revisited: From Weekend Chaos to Repeatable Craft
A sequel to “10 Ways to Vibe Code"
Internet of Agents
Protocols for the Agentic Era
How A2A and MCP Are Building the Infrastructure for Interoperable AI Agents
Internet of Agents
Architecting the Internet of Agents
IoA Needs Interoperability, Not More Silos
MCP
Streamlining AI-to-API Communication: A Practical Guide to Model Context Protocol
Have you ever wondered how AI assistants/apps/tools interact with external systems like databases, APIs, or file systems? Traditionally,
LLM Fundamentals
The Art of Sampling: Controlling Randomness in LLMs
A Mental Model for Temperature, Top-k, and Top-p
Machine Learning
Deep Dive into LLMs like ChatGPT by Andrej Karpathy - TL;DW version
I think everything that Andrej Karpathy shares on X or YouTube is a goldmine of information, and his latest video,
LLM Scaling
Thinking Smarter, Not Harder: How LLMs Can Learn on the Fly
...or how I learned to stop worrying and love inference-time scaling