243 items indexed · AI tools, prompts, hooks & techniques
This guide compares two popular frameworks for building automated AI agent systems. CrewAI is better for quickly creating prototypes and simple multi-agent teams, while LangGraph provides the granular control and reliability needed for complex, production-ready applications with branching logic and error handling.
This is a massive library containing over 170 pre-built AI agent templates for the OpenClaw framework, covering categories from productivity and development to marketing and finance. It allows you to quickly deploy a specialized AI assistant by copying a configuration file, saving significant development time.
This guide compares two primary types of AI coding tools. IDE-integrated agents like Cursor and Windsurf act as powerful assistants inside your code editor for day-to-day development. Agent frameworks like LangGraph and CrewAI are toolkits for building custom, multi-agent automated systems for complex workflows.
This is a free, comprehensive course from Microsoft that teaches the fundamentals of building AI agents. It provides a structured, 12-lesson curriculum in Jupyter Notebooks to get anyone started with creating automated AI systems that can reason and perform tasks.
This is a curated list of research papers and software frameworks for running advanced AI, like language and image models, directly on mobile phones and other small devices. This technique enables faster, more private AI applications that work without a constant internet connection.
This is a comprehensive guide for building professional AI agents that are ready for real-world use. It provides code-based tutorials to take an AI application from a simple prototype to a scalable, secure, and observable product.
This guide provides developers with concrete examples of how to build AI agents that are reliable enough for production use. It highlights specific open-source projects that focus on testing and handling unexpected scenarios, or 'edge cases', to ensure the AI doesn't break when faced with unusual user requests or data.
A curated comparison of the leading open-source AI agent frameworks as of 2026, ranked by GitHub stars and recency. LangGraph, OpenAI Agents SDK, and Google ADK are the top newcomers for building autonomous, multi-step AI workflows without vendor lock-in. Business owners and developers can use this landscape overview to pick the right framework before writing a single line of code.
This guide shows developers how to use Claude Code as an orchestrated agent system rather than a simple chatbot, using a structured CLAUDE.md config file, planning modes, and specialized sub-agents to reduce bugs and speed up delivery. It covers practical cost controls like context compacting schedules and checkpoint patterns to prevent runaway API costs. Business owners get a blueprint for integrating AI into real development pipelines with measurable productivity gains.