Agents & Frameworks
LLM agents, agent frameworks, tool use, MCP, and agent architecture.
26 articles exploring Agents & Frameworks. Expert analysis and insights from our editorial team.
Latest in Agents & Frameworks
Breaking the Spell of Vibe Coding: A Fast.ai Critique of AI-Assisted Development
Fast.ai's Rachel Thomas warns that unchecked AI-assisted coding creates 'dark flow'—a dangerous state where developers feel productive while producing unmaintainable code, with research showing AI tools can actually slow development by 19%.
Multi-Agent Coordination Protocols: When AI Agents Work Together
Multi-agent coordination protocols are standardized communication frameworks that enable autonomous AI agents to delegate tasks, share information, and resolve conflicts in distributed systems. These protocols are essential infrastructure for modern AI systems from autonomous vehicles to LLM-based agent frameworks.
Memory Management for Claude: Implementing Session Persistence
Explore practical strategies for implementing persistent memory in Claude applications, from context compression techniques to RAG-based session management approaches that enable truly long-running conversations.
Memory: The Missing Piece in AI Agents
Why memory is the critical bottleneck in AI agent architecture, how RAG and vector databases solve part of the problem, and where the field is heading next.
AI Coworkers Are Here: Building Persistent Memory Into Your Agents
Discover how to build AI coworkers with persistent memory using RAG, vector databases, and context compression—the architecture powering the next generation of autonomous agents.
Are AI-Generated PRs Killing Open Source?
How open source projects can harness AI contributions without drowning in low-quality noise—exploring Mitchell Hashimoto's Vouch system and the maintainer crisis
CrewAI vs AutoGen: A Developer's Guide to Multi-Agent AI Frameworks
A comprehensive comparison of the two leading multi-agent AI frameworks—CrewAI and Microsoft's AutoGen. Learn which framework fits your use case with code examples, architecture insights, and real-world benchmarks.
The $8 AI Developer: OpenAI Codex vs Claude Code vs Cursor—Which Actually Delivers?
A real-world benchmark comparison of three AI coding titans. We break down pricing, features, and actual productivity gains to find the best AI developer for your workflow.
Building MCP Servers: Extending Claude's Capabilities with the Model Context Protocol
A comprehensive guide to building Model Context Protocol (MCP) servers that extend Claude's capabilities. Learn the architecture, implementation patterns, and best practices for creating powerful AI integrations.
How to Build Your First Autonomous Coding Agent with OpenHands SDK
A comprehensive guide to building production-ready autonomous coding agents using the OpenHands Software Agent SDK, covering architecture, deployment options, and practical implementation.
Pydantic AI vs LangChain: A Developer's Guide to the New Generation of Agent Frameworks
A comprehensive comparison of Pydantic AI and LangChain, exploring type safety, developer experience, and production readiness in modern Python AI agent frameworks.