agents
Here Comes the Judge
Your agent says it completed the goal. How do you know? You need judges — composable, tiered, and often free. Here's how to build a jury system for your agents.
agents
agents
agents
How Does Your @Agent Flow?
Most agent code is a prompt and a loop. agent-workflow gives it explicit flow — a pure-Java DSL that compiles to a graph you can inspect, gate, and replay.
acp
Zero-Config ACP Agents with Spring Boot
One dependency, a few properties, an annotated bean. Spring Boot handles the rest - transport, lifecycle, graceful shutdown.
agents
When You Come to a Fork in the Code, Take It
The agent read the skill. Then it read the existing code. Then it wrote with the older pattern. Six runs, both variants, every time. Your codebase is the agent's primary teacher — no skill can override it.
agents
Look Ma, No RAG! Building Agent-Native Knowledge Systems
I built this over three months. Then Karpathy posted about the same pattern. Here's the systematized, repeatable version - born from downloading papers, organizing them, and realizing the index file was the whole trick.
acp
ACP Java SDK: Building IDE Agents in Java
ACP standardizes how code editors talk to AI agents — LSP for the agent era. The Java SDK gives you annotations, a sync API, and in-memory testing. Here's what the programming model looks like.
agents
I Read My Agent's Diary
Every agent run leaves a trail. Record it, judge it, find the hotspots, fix them, run again. That's the loop that turns unpredictable agents into reliable ones.