Blog posts tagged with "ai-agents"
Explore agent-browser, Vercel Labs' open-source headless browser automation CLI that empowers AI agents with semantic locators, accessibility tree snapshots, and deterministic web interactions.
Empowering AI Coding Agents with Private Knowledge. The Revolutionary Doc-Serve Agent Skill provides private Retrieval-Augmented Generation (RAG) combining intelligent document indexing, semantic search, and deep code understanding to deliver accurate, grounded responses.
Treat AI skills like software packages. Think pip install or npm install, but for AI agents. A CLI that lets you install, update, list, and uninstall agentic skills from any Git repository with a single command.
A new approach that flips traditional development on its head. Rather than treating specifications as mere documentation, SDD makes them executable artifacts that directly drive code generation.
Introducing our new blog section dedicated to AI agents, Claude Code skills, and the latest in AI-powered development.
A comprehensive comparison of Anthropic's Claude Agent SDK and OpenAI's AgentKit, exploring design philosophies, architecture differences, tool integration approaches, and helping developers choose the right framework for their AI agent projects.
How Anthropic's Agent SDK transforms AI from conversational assistant to autonomous digital worker. Learn about the three-phase agentic loop, tools, verification, and enterprise integration.
A foundational shift from specialized chat-based tools to general-purpose autonomous agents. Learn about the three-phase agentic loop and how giving Claude computer access enables complex digital work.
Transform AI coding assistants from unreliable guessing tools into precise pair programmers through structured specifications using GitHub Spec Kit.
Learn how to implement OAuth 2.1, JWT validation, and TLS encryption for DSPy's programmatic architecture when connecting to MCP servers. Complete guide with code examples.
Learn how to implement OAuth 2.1, JWT validation, and TLS encryption for LangChain's agent-based architecture when integrating with MCP servers. Comprehensive security patterns for autonomous AI agents.
