Search Results for "auto code generation"
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Showing 11 open source projects for "auto code generation"
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. -
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Last9 MCP Server
Last9 MCP Server
The Last9 MCP Server is a Model Context Protocol server implementation for Last9, enabling AI agents to seamlessly bring real-time production context—logs, metrics, and traces—into local environments to auto-fix code faster. -
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GitHub Agentic Workflows
GitHub Agentic Workflows
GitHub Agentic Workflows is an experimental CLI extension and framework for the gh GitHub CLI that lets developers author automation driven by natural language specifications instead of hand-written code, compiling those descriptions into GitHub Actions workflows that run AI agents (like Copilot, Claude Code, or Codex) on schedule or in response to repository events. By writing intent in markdown files, a developer can quickly generate .yml Actions workflows that perform tasks such as... -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
...It provides a framework and tooling that allow AI agents to research, plan, and implement changes in large codebases while maintaining structured workflows. It focuses on enabling AI-assisted development through coordinated agent workflows rather than isolated code generation tasks. HumanLayer integrates with modern AI models and coding assistants to automate tasks such as code research, planning, and implementation while maintaining a structured development process. HumanLayer introduces advanced context management techniques that help AI agents understand large repositories and operate effectively across multiple tasks. ... -
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Claude Platform CLI
The CLI for the Claude API
Claude Platform CLI is a command-line tool that lets users interact directly with the Anthropic Claude API from their terminal. It provides access to API resources through structured subcommands, making it useful for both interactive exploration and automated workflows. The CLI simplifies API requests by supporting typed flags, piped YAML or JSON input, and inline file references instead of manually writing complex JSON. Users can format, filter, and transform responses directly in the... -
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ant CLI
ant CLI - Command line tool for Anthropic Claude API
The ant CLI is a command-line tool that lets users interact directly with the Claude API from their terminal. It exposes every API resource as a structured subcommand, making it useful for both hands-on exploration and automated workflows. The ant CLI simplifies API requests by allowing users to build request bodies with typed flags, piped YAML or JSON, stdin input, and inline file references instead of manually writing complex JSON. It also includes built-in output formatting, response... -
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tlm
Local CLI Copilot, powered by Ollama
tlm is an open-source command-line AI assistant designed to provide intelligent terminal support using locally running large language models. The project functions as a CLI copilot that helps developers generate commands, explain shell instructions, and answer technical questions directly from the terminal. Instead of relying on cloud APIs or paid AI services, TLM runs entirely on the user’s workstation and integrates with local models managed through the Ollama runtime. This approach allows... -
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Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. -
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Reviewpad
Next generation pull requests and issues
Reviewpad is a service to automate pull requests and issues workflows. The workflows are specified in a YML-based configuration language described in the official documentation. In Reviewpad, you can automate actions over the pull requests and issues. With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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chatgpt-web
Privatized web program based on ChatGPT3.5 API
...Note that each parameter may affect you to get a different chat effect, and you may get another answer if you change a parameter, so please try to debug it yourself, and don't complain about the artificial mental retardation when you come up. There are more than 20 parameter examples in the document, such as AI chatbot, product name generation, python code fixer, etc. -
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commit-autosuggestions
A tool that AI automatically recommends commit messages
...It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). ...
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