243 items indexed · AI tools, prompts, hooks & techniques
Claude Code's 2026 updates significantly enhance its ability to automate complex developer tasks. New features allow it to securely connect to other tools, trigger actions based on specific project events, and coordinate workflows between multiple AI agents.
This guide compares two leading approaches for building automated AI agent teams. CrewAI is best for quickly creating simple, role-based agent systems, while LangGraph offers more powerful, fine-grained control for complex, production-ready workflows. The choice depends on whether the project prioritizes speed and simplicity or robustness and scalability.
OpenCLAW has a new beta version of its self-hosted AI agent framework. This update allows agents to create specialized 'sub-agents' to handle complex tasks together and includes a new, optional safety system to better control their actions, though security risks still require careful management.
This guide explains how to use the OpenAI Codex CLI to create automated teams of AI agents. These agents can work together on complex coding projects, like building a game, by passing tasks from one specialist (like a designer) to another (like a developer), all while keeping their work separate to avoid conflicts.
This guide demonstrates how to build an automated sales and marketing system using the OpenCLAW framework. Multiple AI agents collaborate to analyze new leads from a CRM, generate personalized outreach messages, and manage follow-ups, dramatically accelerating the sales pipeline.
This is a toolkit for building advanced AI agents that run on 'edge networks', making them faster by being physically closer to users. These agents can search the web, access databases, and automatically hand off tasks to other specialized agents to solve complex problems.
Claude Code in 2026 moves beyond single-prompt interactions by using reusable skills, governance files, and iterative planning loops to behave more like an autonomous senior developer. Business teams can enforce coding standards automatically, connect Claude to tools like Slack and Figma via MCP, and run multi-phase development cycles with built-in testing checkpoints. The result is faster, more consistent software delivery with less manual oversight.