Agent Skills, background agents, and feedback loops took the centre of my July AI work.

How I turned a bare Ubuntu VPS into a remote development machine for OpenCode, with separated admin and agent accounts, tmux persistence, and browser automation.

I see value shifting from maintaining Postman collections to letting agents derive API calls from intent, contracts, and live responses.

A practical comparison of three observability tools for Spring Boot 4 applications

I updated ai-toolkit to follow the new Agent plugin standard, rewired the installer, and added a Javadoc Central plugin.

Skills, MCPs, and feedback loops took the centre of my July AI work.

AI agents default to three-layer codebases because that's what most public projects use. Here's why that matters and how a reusable skill fixes it.

Claude certification, Copilot cost pressure, and why local-first AI experiments moved up my list in June.

Supadata is one stop-shop API for makers to read web and YouTube content, ready for AI training and retrieval.

Java Developer by trade, AI Explorer by choice, and a Spring Boot Wizard at heart. I specialize in building robust, scalable applications and systems while actively integrating the power of Generative...

An extended write-up of the hypermedia API hypothesis for agent workflows with Spring HATEOAS and HAL-FORMS.

Discovery-first workflows, toolkit curation and Copilot still rules.

Java Developer by trade, AI Explorer by choice, and a Spring Boot Wizard at heart. I specialize in building robust, scalable applications and systems while actively integrating the power of Generative...

Consolidation, knowledge bases, and trying out the new wave of harness tools, a personal retrospective on April 2026.

MCP gives your LLM access to external systems via your agent. Spring AI makes it straightforward to build MCP servers in Java using annotations.

A short note on why voice consistency matters as content output grows, and how a writing skill plus an agent-driven quiz loop keeps posts aligned.

Harnesses, orchestrators, and the growing ecosystem of AI workflow tooling, a personal retrospective on March 2026.

Java Developer by trade, AI Explorer by choice, and a Spring Boot Wizard at heart. I specialize in building robust, scalable applications and systems while actively integrating the power of Generative...

How to build a feedback loop at the end of every AI-assisted ticket, using a reusable Copilot prompt to update instructions and ArchUnit tests so the AI gets smarter session by session.

A mental model for AI orchestration that mirrors clean code principles: Agents define the workflow, Prompts execute a phase, and Skills perform the atomic actions.

A lot is happening in tech and beyond, and as we step into March, we have pulled together a fresh batch of articles, thought pieces, and videos to help you learn, connect, and see things from new angl...

A personal journey through AI tools, skills, and agent workflows in February 2026.

How the Self-Contained Systems architecture pattern provides optimal code structure for AI coding agents to understand and modify.

Announcing TamboUI Announcing TamboUI Note This blog post is co-authored by Cédric Champeau (Micronaut) and Max Rydahl Andersen (Quarkus), and cross-posted o...

A comprehensive guide to Java UI libraries and frameworks for desktop, web, terminal, and mobile development. Discover the best Java UI solutions for your next project.

Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.

A comprehensive overview of Java UI frameworks across desktop, web, mobile, and terminal platforms in 2026.