Context Is a Budget: What Changed in Our Team's Process When We Started Using AI Coding Agents
A practical, tool-agnostic workflow for specs, tests, review loops, worktrees, and team-owned configuration when coding agents join …
AI
No Quote, No Claim: Making an LLM Show Its Sources in Java
My job portal asks Gemini why a job fits a candidate. Every claim must quote its source, and a few lines of plain Java drop any quote that …
BoxLang AI 3.6: Your Agent Now Has Eyes, Ears, and a Voice
BoxLang AI 3.6 connects AI agents to browser automation, audio tools, streaming speech, MCP stdio servers, MariaDB vector memory, and …
An IDE for Coding Agents: NetBeans Refactorings over MCP
Coding agents rename methods with grep and edit loops. A headless Apache NetBeans gives them real refactorings over MCP, with fewer turns …
How We Share Foojay Posts on Social Media
Every new Foojay article is announced on Mastodon, Bluesky and LinkedIn by one small JBang script. How it works and which problems we had to …
JCast Roundup: AI Agents, Clean Code, Cloud and Quarkus (Summer 2026)
Six new JCast episodes from June to October 2026: AI hype and agents, clean code, cloud costs, Quarkus with Kevin Dubois, and meeting-heavy …
BoxLang 1.18.0 Released: Every Cloud, Every Node, Every Agent
BoxLang 1.18.0 adds Azure Functions, cluster-safe scheduled tasks, a more automation-friendly CLI, and refreshed docs for developers and AI …
BxPlaywright 1.0: Real Browsers, Fluent BoxLang, Built for AI Agents
BxPlaywright 1.0 brings fluent browser automation, real-browser testing, Playwright MCP, accessibility checks, rendering, and AI-agent …
One Embedding per Job, or Two? Measuring Semantic Search in a Spring Boot Job Portal
I stored two embeddings for every job in my Spring Boot job portal and measured which one finds the right jobs. One of them barely mattered, …
What I Learned Building an AI Code Reviewer with Java and Spring Boot
What I learned building an AI code-review workflow around GitHub Pull Requests, Spring Boot, and multiple AI providers.