Featured article
Making Agent Workflows Reliable
A practical framework for turning capable but probabilistic AI agents into observable, recoverable, and testable production systems.
Clear thinking about the systems we build, the tools we use, and the tradeoffs that shape both.
Read the latestconst runtime = {
focus: ['systems', 'tools', 'AI'],
intent: 'write things down',
outcome: 'help future me',
};
export default runtime;Featured article
A practical framework for turning capable but probabilistic AI agents into observable, recoverable, and testable production systems.
API boundaries are more than interface style: they localize change, enforce invariants, and create operational leverage across a backend system.
A disciplined method for moving from vague symptoms to testable hypotheses using timelines, correlation, and evidence from production systems.
I write about building dependable software, understanding complex systems, and using AI as an engineering tool.
More about me