243 items indexed · AI tools, prompts, hooks & techniques
OpenClaw is a free, open-source 'operating system' for creating smart AI assistants (agents) that can automate tasks 24/7 across platforms like Slack, WhatsApp, and Telegram. It allows businesses to build and control their own AI workforce for things like customer support and DevOps, with a strong focus on security and connecting to hundreds of other tools.
OpenAI's Codex CLI is a command-line tool that lets developers use powerful AI models like GPT-5.4 mini to write code, fix bugs, and automate tasks directly in their terminal. It can be integrated into development pipelines to automatically review code changes, making the software development process faster and more efficient.
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 guide explains how to run AI models on your own private servers for enhanced data privacy and control. It outlines the key components, such as an inference engine and containerization tools, to build a secure, in-house AI infrastructure connected to business workflows.
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 enables you to build a team of specialized AI agents that collaborate on complex tasks, such as sales, support, or operations. This multi-agent approach allows for more sophisticated and efficient automation pipelines by defining how different agents delegate work to each other. It supports both local and cloud-based AI models for maximum flexibility.
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 workflow uses AI agents to automatically review new code and visual design changes submitted by developers. By automating checks for bugs, style standards, and UI consistency, it frees up engineering teams to focus on building new features rather than performing manual reviews.
Connect your team's AI code assistant (Claude Code) directly to your GitHub repository to automate development tasks. This enables the automatic creation of new features, bug fixes, and daily progress reports without any manual intervention, significantly accelerating your development cycle.
Use the OpenCLAW framework to build a virtual team of specialized AI agents that automate complex software development. Create a 'software factory' with distinct agents for architecture, coding, code review, and documentation, each configured with different AI models and tools to operate efficiently.