243 items indexed · AI tools, prompts, hooks & techniques
This is a ready-to-use Claude Code workflow template designed for academic work. It automates the creation of research papers, presentations (LaTeX/Beamer), and data analysis (R) using a multi-agent system that includes specialized reviewers, adversarial quality assurance, and automated quality gates.
This guide provides developers with links to complete, real-world project templates for setting up automated AI assistants. These examples demonstrate how to make an AI automatically review code, run quality checks, and manage development tasks using pre-built configurations and CI/CD integrations.
Explore a collection of real-world applications for the OpenCLAW AI agent framework, where multiple AI agents collaborate to automate complex business tasks. See working examples of automated project management, content creation pipelines, and 24/7 customer service systems that can save teams 10-40 hours per week.
This tool automates software development by creating a structured process for building features and fixing bugs. It takes a high-level requirement, breaks it down into technical plans and individual tasks, and then uses AI to implement the code, increasing developer productivity and consistency.
This provides a complete blueprint for an automated AI software development system using Claude Code. It sets up a project structure where an AI assistant automatically reviews code, performs scheduled maintenance, and integrates with CI/CD pipelines to ensure higher quality and faster delivery.
GitHub is researching a method for AI agents to automate complex development tasks securely. Teams can describe workflows in plain English, which are then compiled into robust, safe automation to handle edge cases like documentation updates or quality assurance without manual intervention.
This is a guide to using Claude Code, an AI coding assistant that automates tasks like writing tests and fixing errors. While it significantly speeds up simpler development tasks, it requires careful human supervision to handle complex projects and maintain code quality.
This guide details how to use OpenCLAW to build multi-agent systems that automate complex business processes. It provides examples of coordinated AI agents handling tasks like project management, content creation pipelines, and CRM updates without needing direct human orchestration.
The latest OpenAI Codex CLI update transforms it into a powerful, autonomous coding assistant. It can now manage complex tasks by itself, using multiple AI 'sub-agents' to securely execute code, interact with files, and even get approvals, making software development faster and more automated.
This tool orchestrates a team of different AI assistants (like Claude, Gemini, or Codex) to collaborate on complex software development tasks. You define a project plan using a JSON file, and the framework automatically delegates work to the appropriate AI specialist, enabling them to build, review, and test code in a coordinated fashion.
This is a pre-built automation system that connects Claude Code with your GitHub repository. It uses AI to automate your entire software development process, from creating tasks and managing project boards to running quality checks and deploying code, turning your GitHub into an intelligent project management suite.
This workflow uses an AI coding assistant (Claude Code) to automatically review, test, and maintain a software project. It sets up automated checks on every code change and runs weekly or monthly maintenance tasks to keep the code clean and dependencies up-to-date, reducing manual work for developers.