ai.
Working notes on AI across product, design and engineering. Concepts explained, lessons learned building with agents, and the tools and reads I found on the way.
01 / Learning
Notes
- Coding Patterns Stop AI ForgetfulnessUsing a strict coding pattern helps an AI write better code by giving its limited short-term memory a clear blueprint to follow.
- Software engineers won't need to write and read code only when agents will embed good engineering practices in their DNAAs long as we have to tweak the code ourselves, I don't think much will change. In fact, good engineering practices help AI generate better solutions.
- There's not difference in maintainability in AI vs Human generated codeLLMs are great at pattern recognition, so as long as the codebase is well designed and architected, it'll produce high-quality output.
- We should invest in AX (Agents Experience)AI agents are becoming our new teammates: we should treat them as a new entity that requires its own UX to work properly, a bit like DX.
02 / Building
Experiments
Nothing is running on the bench just yet.
03 / Collecting
Found on the way
Nothing worth keeping has turned up yet.