Projects sharing features with Dev Chatgpt Prompts

HowToBeAProgrammer is a comprehensive software engineering career guide and professional development framework. It serves as a curated-knowledge repository and handbook designed to help programmers acquire technical habits and social competencies necessary for professional advancement. The project distinguishes itself by integrating technical craftsmanship with a detailed manual for technical leadership and organizational navigation. It provides specific strategies for career progression, such as compensation negotiation, promotion readiness, and the management of professional boundaries to p

This project is a curated collection of system prompts and configuration rules designed to standardize the behavior of AI-powered programming assistants. It provides a structured framework for injecting specific instructions into the context window of development tools, ensuring that AI-generated code and documentation adhere to consistent styles and project guidelines. The repository distinguishes itself by offering localized instruction synthesis and programming rules specifically tailored for Chinese-speaking developers. By mapping specialized system prompts to the unique input requirement

Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

This project is an AI frontend code generator and design system framework designed to convert visual references and images into functional frontend source code. It provides a system for translating image layouts and styling into code while ensuring layout and styling accuracy. The framework includes a prompt engineering library and portable style instructions that enforce the generation of complete, production-ready source code, preventing the use of placeholders or unfinished segments. It utilizes a multi-modal feedback loop and visual-to-code mapping to maintain consistency between high-fid

This project is a comprehensive guide to software architecture, providing a framework for designing maintainable, readable, and modular codebases. It focuses on establishing design best practices that help developers structure complex applications into independent, single-purpose units. The guide emphasizes the use of modular programming principles to decouple software components, allowing for greater reusability across different parts of an application or separate projects. By prioritizing interface-based design and the dependency inversion principle, it enables safe, incremental refactoring

Travis CI is a continuous integration platform and CI/CD pipeline orchestrator that automates the testing and building of code changes from version control systems. It functions as a multi-language test runner and build infrastructure manager, ensuring software quality through automated testing across various programming languages and runtimes. The platform is distinguished by its use of virtual-machine-based isolation for reproducible environments and a configuration-driven approach to pipeline generation. It supports complex testing strategies through parallel matrix execution, allowing job

The CppCoreGuidelines is a comprehensive software engineering standard that provides a curated framework of coding conventions and design principles for C++. It serves as an authoritative guide for writing safe, efficient, and maintainable code by establishing high-level architectural patterns and organizational principles for large-scale projects. The guidelines emphasize the use of a strong, static type system to ensure memory safety and enforce consistent resource management patterns. The project distinguishes itself by promoting the zero-overhead abstraction principle, ensuring that high-

This platform is an automated documentation and codebase analysis system designed to generate structured wikis, technical guides, and interactive diagrams from source code repositories. It functions as a retrieval-augmented generation framework that connects codebases to language models, enabling context-aware answers, deep research, and automated documentation updates through semantic vector search. The system distinguishes itself through a self-hosted, containerized architecture that supports both cloud-based and local AI model execution. It provides sophisticated model orchestration, allow

Buildbot is a Python-based continuous integration framework and distributed build orchestrator. It functions as a build automation engine that coordinates the retrieval of source code, the execution of build steps, and the reporting of results through a central controller and a network of remote worker agents. The system is distinguished by a plugin-based extensibility architecture and a master-worker distribution model. It allows for dynamic build modification at runtime and supports a pluggable database backend for persisting system state and historical build data. The project covers a bro

AG2 is a multi-agent large language model orchestration framework, agentic workflow automation tool, and RAG-enabled agent platform. It functions as a communication protocol and framework for coordinating multiple AI agents to solve complex tasks through shared state and standardized messaging. The project distinguishes itself through flexible coordination strategies, including hierarchical agent organization, hub-and-spoke models, and dynamic routing that analyzes conversation context to distribute work. It implements multi-stage feedback loops for iterative refinement and uses schema-constr

This project is an automated prompt engineering and optimization tool designed to iteratively create, test, and refine prompts using a language model to improve output quality. It functions as a framework for generating candidate prompts and ranking their performance through correctness matching and ELO-based ratings. The system includes capabilities for model distillation, generating high-quality example pairs from frontier models to create training data for smaller models. It also provides tools to condense prompts for smaller models and transform instruction-tuned prompts into completion-b

code2prompt is a codebase-to-prompt converter and LLM context generator that transforms source code and directory structures into formatted text blocks for large language models. It functions as both a utility for generating prompts and an AI agent context server that exposes codebase files and metadata to coding assistants via a standardized server protocol. The tool distinguishes itself through git-aware capabilities, integrating commit messages and branch diffs to provide version control context for AI-generated code changes. It also utilizes the Model Context Protocol to allow external AI

PHP-CS-Fixer is a static analysis tool and code style linter designed to validate PHP code against predefined standards. It functions as a coding standard fixer that automatically detects and corrects style violations to ensure consistent formatting across a codebase. The project serves as a syntax modernizer, providing automated tools to update legacy PHP syntax to align with newer language versions. It also allows for the creation of custom style rules when built-in standards do not meet specific requirements. The tool covers broad capability areas including automated linting workflows and

auto-dev is an AI-native software engineering tool and multi-agent development platform designed to automate the entire software development lifecycle. It functions as an autonomous orchestrator that manages AI-driven coding, testing, and infrastructure configuration through declarative agent chains. The project is built on a Kotlin Multiplatform AI framework, allowing agent logic to run across diverse environments and device interfaces. The platform implements the Model Context Protocol to exchange tools and project information with external AI services. It distinguishes itself through the u

easy_javadoc is an AI-powered documentation tool and generator for Java. It functions as an editor integration that creates structured documentation comments for classes, methods, and properties by translating code identifiers into natural language. The system utilizes translation services and large language models to automate the creation of documentation. It includes a technical translation utility that allows for custom terminology mappings to ensure specific industry terms remain consistent across the generated text. The tool supports both individual member documentation and batch genera

Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated

MeterSphere is a continuous testing platform that provides a suite of tools for automating interface, performance, and functional tests within a delivery pipeline. It functions as a comprehensive system for managing the testing lifecycle, from initial case planning and execution to defect tracking and reporting. The platform distinguishes itself through the use of large language models to automatically generate functional and interface test cases from requirements. It also features a distributed performance testing engine that coordinates pools of hardware and software resources to execute hi

This project is a comprehensive educational resource and programming guide for the TypeScript language. It serves as a manual for the type system and a reference for the language's core syntax, focusing on writing type-safe code and building scalable applications. The content provides detailed instruction on the TypeScript type system, covering interfaces, generics, and structural typing. It further acts as a compiler reference, analyzing how source code is transformed into an abstract syntax tree through scanning and parsing. The guide also covers software architecture design, detailing pro

Opencommit is a command-line tool and automation suite that uses large language models to analyze staged changes and generate descriptive git commit messages. It functions as an AI-driven commit generator that can be integrated directly into the version control lifecycle. The project distinguishes itself through support for both cloud-based AI providers and locally hosted models to ensure data privacy. It provides specialized automation via git hooks for real-time suggestions and GitHub Actions for refining commit messages during continuous integration workflows. The tool includes capabiliti

This project is a comprehensive Python style guide and technical reference designed to promote the creation of clean, maintainable, and idiomatic code. It provides a set of opinionated guidelines and architectural patterns focusing on functional and declarative programming to reduce complexity and improve overall code quality. The guide establishes specific standards for naming conventions, module organization, and project layout. It emphasizes reducing object coupling by favoring modules and functions over deep class hierarchies and offers technical standards for writing docstrings and marku

Paper-qa is a retrieval augmented generation system designed for question answering and analysis of scientific literature and technical documents. It functions as an LLM-powered research assistant that extracts grounded answers and summaries with citations from a document library. The system utilizes an agentic RAG orchestrator to iteratively refine search queries and gather evidence through multi-step tool calling. It features a multimodal document parser that extracts text, tables, and images from PDFs, alongside a vector-based indexer that embeds and caches document libraries for efficient

DB-GPT is an agentic data analysis platform and business intelligence AI that functions as a large language model data assistant. It provides a text-to-SQL interface and a sandboxed code execution environment to translate natural language into executable database queries and Python scripts. The platform utilizes iterative agentic reasoning to plan and execute multi-step data analysis workflows through tool calls. It features a modular skill-based extension system that allows domain knowledge and analysis workflows to be packaged into reusable functional components. The system integrates data

Python-Guide-CN is a Chinese translation of a comprehensive guide to idiomatic Python programming and software development. It serves as a curated programming tutorial and ecosystem reference, providing a structured path for learning Python syntax, standard libraries, and professional coding patterns. The project distinguishes itself by offering detailed instructions for setting up development environments across Windows, macOS, and Linux. It specifically focuses on the selection of interpreters and the management of virtual environments to ensure a consistent workspace. The guide covers a b

Maestro is an autonomous task workflow engine that decomposes high-level goals into hierarchical sub-tasks and orchestrates their execution using multiple language model agents. It provides a unified interface for routing requests across different LLM providers, including proprietary models like Anthropic, OpenAI, and Gemini, as well as local models, enabling flexible provider selection and switching through a single entry point. The system distinguishes itself through its ability to generate complete software project structures directly on the host machine, creating directories and source fi

PaperBanana is an AI research visualization tool and framework designed to generate and refine high-resolution academic illustrations from conceptual and technical descriptions. It employs an automated generation pipeline that transforms scientific text and captions into publication-quality diagrams and plots. The system utilizes a multi-stage process consisting of retrieval-augmented planning, image synthesis, and a critic-based iterative refinement mechanism. This workflow allows for the adjustment of image details and the upscaling of visual outputs to 4K resolution. The project includes

AutoResearchClaw is an agentic system designed to automate the scientific research process. It functions as an autonomous research agent and workflow automator that manages the entire lifecycle of a project, from initial hypothesis generation and literature review to experimental execution and the production of LaTeX-formatted academic papers. The system distinguishes itself through a multi-agent research pipeline that utilizes structured debates for hypothesis refinement and peer review. It employs a branch-and-merge architecture to explore parallel research directions and integrates human-i