Exploring the Agent2Agent (A2A) Protocol with Spring AI
AI applications are rapidly moving from single-model applications toward systems composed of multiple specialized agents. One agent may specialize in weather information, another i...
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AI applications are rapidly moving from single-model applications toward systems composed of multiple specialized agents. One agent may specialize in weather information, another i...
Spring AI, LangChain4j, Quarkus, and Helidon all now speak the Model Context Protocol. That is a bigger shift than another integration library, because for the first time it points...
Java code can write, rewrite, or inspect other Java code. The real question is when it happens, and who pays for it. Three Moments, Three Trade-Offs Java developers meet metaprogra...
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
When we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud...
Agentic AI systems are moving beyond simple question-and-answer applications. AI agents can reason about tasks, use external tools, inspect files, call APIs, work with databases, e...
One of the most interesting parts of my role as a cloud solution architect is working directly with customers as they move from experimentation to production. The conversations cha...
In Part 1 of this series, we built a Quarkus-based MCP tool server and connected it to the Goose AI agent over Streamable HTTP. The tools worked, the demo was clean, and everything...
Bring multiple ACP-compatible agents into the conversations where your team already works with an open-source, self-hostable alternative to Claude Tag. The post AgentConnect -- the...
I went looking for a flag that could cap the amount spent on a session on DeepAgents. The kind of hard spending cap that stops an agent loop before it burns through a budget. What...
Agent-native is a claim, not a feature. Seven checks you can run during a trial to test whether a vendor's tool works with no human at the screen.
RubyLLM 2.0 and 2.1 bring a lot of improvements to building agents. You can run the agent loop one step at a time, tools can now wait for a human to approve them and agents can liv...
If you have ever pointed an agent at an enterprise API, you will know how it goes. The response comes back five levels deep, the model spends half its context working out where the...
Coding agents became useful when they stopped being a chat box. Four things changed the shape of the problem: capable tools, a shared repository and filesystem, subagents, and skil...
[…] data. That’s the specific gap Rovo agents, as a category, are designed to close — Atlassian reports Confluence and Jira customers are now running more than 5 million agent invo...
Your JVM already ships with a profiler that is safe for production. Since JDK 14, it can also talk to you in real time. Why You May Not Need an Agent Many teams reach for a vendor...
Spending cycles manually writing tests, or constantly updating brittle automation, can feel like a Sisyphean task. We know comprehensive testing is crucial for stable applications,...
AGENTS.md works best as a testing contract: the exact commands an agent must run, what done means, how to handle a failing suite, and what it must never touch.
Originally appeared on Carmine Paolino.RubyLLM 2.0 is the biggest release since 1.0. It starts with tool approval: class RefundOrder < RubyLLM::Tool description "Refunds an o...
An AI agent inventory is the record of every AI agent running in an organization: what each one is, where it runs, who owns it and what it is connected to. IT and security teams bu...
The InvGate Asset Management Agent is a lightweight piece of software that runs on your endpoints to collect essential hardware and software data. Organizations use it to keep inve...
Agent systems are increasingly decomposed into specialized services: a planning agent delegates research, a research agent invokes retrieval and synthesis, and a compliance agent v...
Huawei-backed openJiuwen has open-sourced AgentOS for Enterprise, a runtime for multi-agent swarms with sandboxes, tenant isolation and appliance deployment in hours.
After working with agents and agent files for tons of apps, repos, projects, I decided to distill my thoughts on it:
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