243 items indexed · AI tools, prompts, hooks & techniques
This guide outlines a professional project structure for building AI agents that automate complex business processes. By organizing instructions and connections in a specific folder layout, developers can create persistent systems that review code, manage project tickets, and integrate with external tools without manual intervention.
This outlines a collection of pre-built configurations and best practices for the Claude Code AI assistant, sourced from the 'claude-code-workflows' GitHub repository. It demonstrates how to structure projects with context files, integrate with Git for safety, and automate tasks to build applications more efficiently.
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 provides a complete project template for setting up an advanced AI coding assistant using Claude Code. It automates key development tasks like code reviews, project ticket management, and documentation updates. By using scheduled weekly quality checks and consistent team-wide rules, it ensures high-quality code and frees up developer time.
OpenCLAW provides a framework for deploying multiple AI agents that work together to automate complex business processes like customer onboarding or billing. This guide outlines a structured, 7-phase roadmap for taking these agent systems from planning to a secure, production-ready deployment.
This document outlines production-grade methods for orchestrating autonomous AI agent workflows using the OpenCLAW framework. It details how to use a central 'Gateway' to schedule recurring jobs, delegate complex tasks to multiple specialized agents, and build reliable, self-improving systems for business automation.
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.
Claude Code hooks let you automate tasks during development, such as automatically re-formatting code after the AI agent makes an edit. They can also enforce security by blocking the AI from modifying sensitive files, giving you more reliable and safe control over its actions.
OpenAI's Codex CLI tool for developers has been updated to version 0.115.0. This release adds powerful self-coding abilities by integrating the new GPT-5.4 model, allowing the tool to read the developer's terminal, collaborate with other AI agents, and suggest multiple code solutions for a single problem.
Use the OpenCLAW framework to build and deploy teams of specialized AI agents that collaborate to automate complex business processes. This guide provides a complete roadmap for orchestrating these agents for tasks like lead routing and CRM management, from initial planning to full-scale production deployment.
The latest OpenAI Codex CLI update introduces powerful multi-agent capabilities, allowing several AI assistants to collaborate on a single project. It also gains terminal awareness to understand build errors and now supports the new GPT-5.4 model for enhanced performance.
OpenCLAW is an open-source framework for building local AI agent teams that automate business processes. This guide details a 7-phase roadmap for implementing multi-agent workflows, starting with a single high-value task like automating customer support or billing.