calcom/cal.com
Cal.com is an open-source, customizable scheduling platform that offers full control over scheduling data and workflows, serving as a versatile alternative to Calendly.
Awesome AI Agents › AI Platform Configurators
duaraghav8/dockershrink
DockerShrink is an AI-powered command-line tool designed to reduce the size of Docker images for Node.js applications. It leverages a combination of algorithmic analysis and generative AI to optimize Docker image configurations, applying advanced techniques such as multi-stage builds, switching to lighter base images like Alpine, and running dependency checks. The tool can generate optimized Dockerfiles and .dockerignore files for new projects or optimize existing Docker image definitions by incorporating best practices to minimize image bloat. DockerShrink addresses the common challenge faced by organizations managing large numbers of bloated Docker images, which lead to high storage and data transfer costs, longer build times, and reduced developer productivity. This problem is especially pronounced for interpreted languages like Node.js and Python, where container images must include the interpreter and all dependencies, significantly increasing image size. By using DockerShrink, users can reduce Docker image sizes dramatically, sometimes from 1GB down to as little as 100MB, resulting in cost savings, faster builds, and improved developer efficiency. The tool is currently in beta and supports only Node.js applications. It is distributed as a standalone binary and can be installed via Homebrew on macOS or downloaded from the GitHub releases page. Users can run commands to optimize existing Docker files or generate new ones, with AI features optionally enabled for optimization and required for generation. To use AI features, users must provide an OpenAI API key, which DockerShrink does not store, ensuring user control over API usage and costs. The project also encourages community feedback and contributions, providing detailed development instructions and a roadmap for future enhancements.
https://github.com/duaraghav8/dockershrink
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