17 个仓库
Defined sequences of operations and custom recipes for executing complex AI-driven development tasks.
Explore 17 awesome GitHub repositories matching artificial intelligence & ml · AI Development Workflows. Refine with filters or upvote what's useful.
gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos
Transforms product intent into technical specifications, implementation, and release documentation.
App-ideas is a development platform that integrates autonomous AI agents into local environments to orchestrate code review, automated fix application, and workflow management. It functions as a command-line interface that connects external AI assistants to your codebase, enabling iterative development cycles through plugin-based integration and natural language triggers. The platform distinguishes itself through a robust static analysis engine that traverses syntax trees to enforce structural coding standards and identify violations. Users can define custom review rules, architectural prefer
Enables the definition of reusable instruction sets that guide agents through specific code-cleanup or convention-enforcement tasks.
Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to orchestrate multi-agent teams and automate complex coding workflows. It functions as a centralized platform for managing AI-driven development, enabling developers to deploy specialized agents that interact with local files, terminal commands, and external APIs to execute end-to-end software delivery tasks. The project distinguishes itself through its focus on governance and extensibility, offering a suite of security controls, policy-based execution guardrails, and audit trails t
Applies pre-built code samples and patterns to integrate custom agent logic and automation into existing development workflows.
Repomix is an AI-focused development utility designed to prepare local and remote codebases for analysis, review, and automated interaction. It functions as a codebase context bundler and a Model Context Protocol server, aggregating project files into structured documents that are optimized for ingestion by large language models. By serving as a bridge between local repositories and external intelligence agents, the tool facilitates real-time codebase inspection and automated development workflows. The system distinguishes itself through rigorous repository token management and security-consc
Automates the preparation of codebase artifacts for analysis, review, and automated development tasks.
Claude-Code-Game-Studios is an LLM agent orchestration framework designed to simulate a professional game development studio hierarchy. It coordinates specialized AI agents and workflow skills to manage design, programming, and art tasks across a game project. The system utilizes a technical rule system to enforce coding standards and quality constraints based on specific file directory paths. It also provides engine-specific expertise configuration to ensure technical guidance is tailored to the requirements of different game engines. The framework includes automation for studio workflows s
Implements predefined command sequences to automate brainstorming, architecture design, and release checklists.
Archon is an artificial intelligence agent automation engine designed to orchestrate complex development workflows. It functions as a platform for chaining multi-step tasks into directed graphs, allowing developers to standardize and execute repeatable coding patterns through declarative configuration files. The system distinguishes itself by maintaining stateful context across long-running sessions and executing operations within isolated, containerized worktrees to prevent file interference. It integrates with external language models and provides a centralized registry for sharing and inst
Packages multi-step development operations into shareable recipes for consistent execution.
This project is a collection of patterns and configurations for deploying AI agents with specialized technical skills and personas. It provides a framework for agentic software engineering, defining standards for AI-driven development workflows and the management of modular technical capabilities. The system features a skill framework that activates technical guidelines based on prompt intent and a context management system that preserves project state using persistent plans and checklists across session resets. It employs a modular organization of guidelines to prevent context window overflo
Defines structured AI-driven development workflows using custom lifecycle hooks and prompt-triggered skills.
vibe-coding-cn is an AI software development workflow and prompt engineering framework designed to transform product ideas into functional applications using natural language. It functions as an AI agent orchestration system that coordinates specialized skills and quality gates to guide the incremental creation of software. The framework distinguishes itself through a project memory system that maintains architectural and design documentation to preserve context during long-term collaborations. It employs a prompt optimization library that utilizes recursive loops, chain-of-thought reasoning,
Provides a structured workflow of prompts, skills, and quality gates to transform product ideas into functional software.
This project is an AI agent workflow orchestrator and software development framework designed to transform high-level feature descriptions into executable implementation steps for AI assistants. It provides a structured system of prompt templates that guides large language models through the transition from product drafting to technical planning and code execution. The framework focuses on a methodology for decomposing product blueprints into sequenced lists of technical sub-tasks. It employs a system of prompt engineering to standardize outputs, ensuring that abstract requirements are conver
Provides a complete AI-driven development workflow from product requirements drafting to final technical execution.
my-git 是一个用于 Git 版本控制管理、仓库治理和软件发布管理的综合框架和参考指南。它提供了一种结构化的方法来管理软件开发生命周期,从初始功能分支到最终生产部署。 该项目的独特之处在于一个专门的 AI 辅助开发框架。这包括通过自动 Diff 审查管理 AI 生成代码的工作流、基于意图的提交拆分,以及使用工作树 (worktrees) 进行多智能体协调和会话隔离的治理模型。 该代码库涵盖了广泛的工程实践,包括 CI/CD 流水线自动化、企业仓库治理以及用于恢复丢失提交或清除敏感数据的高级恢复程序。它进一步详细说明了协作模式,如主干开发、堆叠式 Pull Request 和分层审批系统。 该仓库作为实施标准化分支策略和仓库安全策略的技术参考和指导手册。
Defines Git practices and review workflows for managing AI-generated code via stacked pull requests and governance.
This project is an AI development knowledge base and engineering resource hub. it serves as a technical documentation archive and a lab for experimenting with large language model agents. The repository functions as a curated directory of evaluated AI tools and resources. It documents practical coding workflows and records experimental observations to establish best practices for building and deploying AI-powered applications. The project covers broad capability areas including AI tool curation, technical knowledge archiving of core computing concepts, and the maintenance of developer guidel
Documents practical AI development processes and experimental results to resolve common automation failures.
Provides comprehensive reference workflows with acceleration libraries for building AI agents.
Taiga UI is an Angular UI component library and accessible design system used for building enterprise web interfaces. It provides a comprehensive collection of reusable interface elements and layout tools, functioning as a mobile-first UI kit with responsive components that adapt to different device capabilities. The library distinguishes itself through an integrated data visualization library featuring various chart types and a dedicated form management framework with built-in validation and formatting for specialized data. It also features AI-driven development workflows by integrating comp
Integrates component documentation and implementation details with LLMs via MCP for automated code generation.
PhiCookBook is a technical guide and implementation framework for integrating small language models into applications. It provides instructions for deploying these lightweight models to perform reasoning, coding, and math tasks across various hardware environments and serving platforms. The project functions as a tutorial for developing intelligent AI applications by chaining prompts and code into executable sequences. It includes a framework for evaluating model behavior and calculating quality metrics to verify the accuracy and reliability of these workflows. The repository covers a broad
Guides the creation of executable sequences of prompts and code to develop intelligent AI applications.
vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys
Coordinates debugging and multi-agent collaboration through defined sequences of operations to streamline software creation.
Claude-Code-Workflow is a development workflow engine and command-line orchestration framework that coordinates specialized artificial intelligence agents to automate multi-step software development tasks. The system executes structured processes through natural language command routing, analyzing user intent to select workflows and invoke command-line tools automatically. The platform includes embedded hybrid code search combining full-text and semantic embedding methods over local repositories, along with persistent session management that tracks development steps across multiple execution
Executes structured development processes and multi-agent cadences using intelligent command-line tools.
This project is a collection of standardized instructions and behavioral rules designed to refine the performance of automated coding assistants. It functions as a repository of system prompts and configuration files that enforce consistent coding patterns and project guidelines within an automated development environment. The library enables modular prompt composition, allowing users to assemble task-specific instructions by merging discrete fragments into a unified execution context. By utilizing schema-based templating and declarative configuration, the project ensures that model inputs re
Provides curated configurations that enforce reliable task execution and coding standards within an automated development environment.