dukehoff-decide: Typed, Calibrated Decisions from Small Language Models
Many LLM calls in Java apps are multiple choice. dukehoff-decide answers them with a small local model and returns a typed value with …
LLM
Can You Explain the Diff Your AI Agent Just Wrote?
Every Java developer has been in a code review where the question is simple: What does this method do? The answer used to tell you …
One Base URL, Many Coding Agents: What an OpenAI-Compatible Gateway Looks Like From java.net.http
Somewhere in every coding agent there is an HTTP client. Claude Code, Codex, Cursor, Cline, OpenCode: strip away the terminal UI or the …
Debugging Is Invariant Discovery: What One Kafka Session Taught Us About AI Agents
Every Java team has a sentence like this one somewhere: Any operation on a TID must go through the single asynchronous path and must not let …
“Commit created” — but it isn’t: why the agent’s word needs external verification, and what the mistake costs
A detailed report reads like proof. The agent lists the files it touched, names the branch, quotes a commit hash, adds a test count and …
Did Your AI Agent Ever Run a Debugger? One JVM Bug, Two Agent Runs
Java developers reach for the debugger without thinking about it. Set a breakpoint, run the failing test, look at the variables, then decide …
Introducing BoxLang AI Explorer: A Local Catalog for Every AI Pattern
Learning a new AI API usually means jumping between scattered documentation pages, guessing at imports, and copy-pasting code that may or …
Build Secure AI Chat Applications with BoxLang, RAG, Ollama, and Amazon Bedrock with Dan Card
Build Secure AI Chat Applications with BoxLang, RAG, Ollama, and Amazon Bedrock AI demos are everywhere. Building an AI-powered feature that …
Why Spring Teams Don't Need a Second Runtime for AI Agents
AgentFlow4J is a JVM-native runtime for governed multi-agent systems. Build, govern and operate AI agents on your existing Spring …
Context Is Code: A Tour of APM and AgentRC
Why agent context needs a package manager, what APM gives you, and how AgentRC closes the loop on generation and evals.