Breaking Temporal Coupling: Design Beyond Sequence
Systems become fragile when correctness depends on invisible timing assumptions.
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How to Build a Useful Eval Set for a Tool-Using Agent
Learn how to design an eval set for a tool-using agent using trace-level evaluation, dataset splits, layered scoring, and realistic failure cases that catch regressions before production.
Agent Evaluation and Tracing: Why Prompting Is Not Enough
Prompting can improve a single run, but it cannot prove that an agent workflow is reliable. This article explains how traces, scorecards, offline evals, and online monitoring turn agent quality into an engineering discipline.
Decoupling and the Law of Demeter: Talk Only to Your Friends
The less your code knows about its surroundings, the easier it is to change safely.
AI Agents for Developers: The Mental Model That Actually Holds Up
Most confusion about AI agents starts with weak definitions. This article explains the mental model that holds up in real systems: an agent is a control loop around an LLM with tools, state, and observable execution.
Domain Languages: Speak the User’s Language
The best code speaks fluently in its domain.