Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
How to reduce complexity and move faster? Just Postgres for everything.
An extension providing a Model Context Server extension for PostgreSQL
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
Use triggers to track when rows in a SQLite table were updated or deleted
A backend Python code generator, with a Claude agent at coordinating the generated API and integrations via tool.
A feature-rich command-line audio/video downloader
Export pinned Arc Browser tabs for importing bookmarks into other browsers
The OpenAPI Click CLI Generator is a Python application that automatically generates a command-line interface (CLI) from an OpenAPI specification. The generated CLI allows easy interaction with the API defined in the OpenAPI spec, leveraging Python's Click library.
Concatenate a directory full of files into a single prompt for use with LLMs
Bare metal to production ready in mins; your own fly server on your VPS.
Effortlessly deploy Docker Compose apps in production with zero downtime using an opinionated template 🛠️
Cloud-native distributed Python logging library to emit JSON log that can be easily indexed by logging infrastructure
A generic Helm chart for your application deployments
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
This project is an AI-powered resume customization system that tailors a candidate's resume to a specific job description. It utilizes multiple data sources, including the candidate's existing resume, LinkedIn profile, and GitHub profile, to create a comprehensive and tailored resume.
🤖 Real-time type-ahead completion for Zsh. Asynchronous find-as-you-type autocompletion.
The modern API client that lives in your terminal.
This project analyzes ChatGPT conversations to extract and refine prompts, providing insights into common themes and patterns in user queries. It uses OpenAI's GPT-4o model to process the conversations and generate reusable prompts.
Distribute and run LLMs with a single file.