Tag: AI Agents

Andrej Karpathy's shift from 80% manual coding to 80% agent coding mirrors what many of us are experiencing. But as AI agents write most of our code, the observability and security gaps are becoming the real story.

A real-world experiment in human-AI collaboration: upgrading a production application to LangGraph 1.0 using Claude Code agents. The wins, the fails, and what I learned about working with AI agents on complex technical tasks.

A response to Harrison Chase's vision for agentic interfaces, exploring how conversational development tools are transforming agent creation, and why the future is conversation-first, not visual-first.

The epic journey from Google's revolutionary graph processing to modern AI agent orchestration - a story of how we learned to coordinate millions of workers, then billions of data points, and now intelligent agents

A comprehensive study guide exploring LangChain's revolutionary Middleware abstraction that simplifies context engineering through before_model, after_model, and modify_model_request hooks

Exploring how Cloudflare's Code Mode revolutionizes MCP usage by leveraging TypeScript interfaces for deterministic execution, and comparing it to context management patterns in multi-agent systems

After researching Google's Agent-to-Agent (A2A) and Agent Payments Protocol (AP2), here are my notes on what these protocols actually do, how they work together, and what builders need to know about implementing payment-enabled AI agents

After enabling Agent-to-Agent protocol and updating robots.txt with Creative Commons attribution, I'm seeing promising traffic changes including referrals from ChatGPT and Perplexity

Learn how to implement Google's Agent-to-Agent (A2A) Protocol on your blog or website, enabling AI agents to discover and interact with your content programmatically