#OpenAI Codex

Improve efficiency in the command line with a ZSH plugin providing AI-powered code completion using OpenAI's Codex and Google's Gemini. Automate code generation by inputting simple comments or variable names. Offers flexible installation options, including manual and Fig methods, and supports configuring services like OpenAI and Gemini. Troubleshooting advice is available to resolve setup issues and ensure smooth workflows in terminal environments for developers seeking enhanced coding support.

Convert Python scripts to C++ using OpenAI Codex to address slow Python execution. The tool generates C++ code from Python files via the Codex API and compiles it with g++. It facilitates easy installation and execution, producing executable .cpp and .exe files for improved speed. Suitable for developers seeking performance boosts in Python without extensive C++ knowledge. It is recommended to test generated code for robustness and explore optimization possibilities.

Discover a comprehensive collection of resources, including demos and articles, illustrating what OpenAI Codex can achieve. The compilation covers various fields such as data science, natural language programming, code generation, UI development, and gaming. Examine integrations with GitHub Copilot, Cogram.ai, and Streamlit. This is an ideal resource for understanding how OpenAI Codex is used in program manipulation, code generation, and innovative applications, appealing to developers, researchers, and AI enthusiasts interested in program synthesis and automation.

Explore a diverse range of Python puzzles aimed at evaluating AI programming skills across different difficulty levels and domains. Learn from code solutions created by OpenAI's Codex and assess AI's performance. Engage with the community by contributing or discovering new puzzles, and uncover the AI potential in solving complex tasks using an unambiguous code-based approach that aids in precise training and evaluation.

The codex-readme project utilizes the OpenAI Codex to automate README.md file creation by compiling prompts from the starting segments of code files. This approach simplifies documentation, making it clear and concise. The tool is particularly useful for developers looking to optimize README generation with AI solutions. It is available under the MIT License, with contact options via GitHub or email for queries.

The nvim-magic framework offers a non-intrusive way to integrate AI code assistance into Neovim, enabling the creation and sharing of custom workflows. Compatible with OpenAI Codex, it features code completion, docstring generation, and code alteration. Although no longer maintained, a fork with ChatGPT support continues this functionality. Simple setup with comprehensive installation guidance is provided.