It's 11 PM. You've got a JIRA ticket open, an IDE with three unsaved files, a browser tab on Stack Overflow, and another on documentation. You're context-switching between designing UI, writing backend APIs, fixing bugs, and running tests. You're wearing all the hats, product manager, designer, engineer, QA specialist, and it's exhausting. What if instead...
#cagent
4 posts
11 Mar
22 Jan
Model Context Protocol (MCP) servers are a spec for exposing tools, models, or services to language models through a common interface. Think of them as smart adapters: they sit between a tool and the LLM, speaking a predictable protocol that lets the model interact with things like APIs, databases, and agents without needing to know...
11 Dec 2025
The landscape of AI development is rapidly evolving, and one of the most exciting developments in 2025 from Docker is the release of Docker cagent. cagent is Docker's open-source multi-agent runtime that orchestrates AI agents through declarative YAML configuration. Rather than managing Python environments, SDK versions, and orchestration logic, developers define agent behavior in a...
5 Dec 2025
As agents become capable enough to write and refactor code, they should work natively inside the environments developers work in: editors. That’s why JetBrains and Zed are co-developing ACP, the Agent Client Protocol. ACP gives agents and editors a shared language, so any agent can read context, take actions, and respond intelligently without bespoke wiring...