AI Repo: OthmanAdi/planning-with-files

Skyler: Hey everyone, welcome back to Git News A I! I'm Skyler, and today we're diving into some absolutely incredible repositories that are pushing the boundaries of what's possible with A I development. Before we jump in, huge thanks to our sponsor LimitLess A I for making this show possible. Today we've got everything from planning frameworks inspired by billion-dollar acquisitions to beginner-friendly A I agent tutorials, so let's get right into it! Skyler: First up, we have OthmanAdi slash planning-with-files, and this one is fascinating because it implements what they call "Manus-style persistent markdown planning." Now, this is the workflow pattern that apparently was behind a two billion dollar acquisition, which immediately got my attention. Essentially, this is a Claude Code skill that helps you organize and persist your planning workflows using markdown files. What's really cool here is how it bridges the gap between A I assistance and traditional project management. The repository just hit version 2.35.0 with a new Hermes adapter and some audit fixes. If you're working on complex projects and want to leverage A I for planning while keeping everything organized in a persistent, readable format, this is definitely worth exploring. The fact that it's racked up over nineteen thousand stars tells you the developer community is really seeing value in this approach to A I-assisted planning. Skyler: Next, we're looking at swisskyrepo slash PayloadsAllTheThings, which might seem a bit outside our usual A I focus, but hear me out. This repository is a comprehensive collection of useful payloads and bypasses for web application security, pentesting, and C T F challenges. Now, why is this relevant to A I developers? Well, as we build more A I applications that interact with web services and A P Is, understanding security vulnerabilities and testing methodologies becomes crucial. With over seventy-seven thousand stars, this is clearly a go-to resource in the security community. They've recently updated their GraphQL section and added some web archive features. If you're building A I applications that handle sensitive data or interact with external systems, understanding these security patterns isn't just helpful, it's essential for building robust, secure A I systems. Skyler: Moving on to something more directly in our wheelhouse, microsoft slash ai-agents-for-beginners is exactly what it sounds like, and it's absolutely perfect for anyone looking to get started with A I agents. This is a twelve-lesson course delivered through Jupyter notebooks that takes you from zero to building your own A I agents. What I love about this repository is how Microsoft has structured it as a proper learning path, not just a collection of random examples. With nearly fifty-eight thousand stars, it's clearly resonating with the community. They just merged some translation updates, which shows they're committed to making this accessible to developers worldwide. Whether you're a seasoned developer new to A I or someone just starting their journey into agent development, this repository provides a structured, hands-on approach to learning. The fact that it's using Jupyter notebooks means you can experiment and modify the code as you learn, which is the best way to really understand how these systems work. Skyler: Now here's something really exciting: PrefectHQ slash fastmcp, which bills itself as "the fast, Pythonic way to build M C P servers and clients." M C P, or Model Context Protocol, is becoming increasingly important as we build more sophisticated A I applications that need to interact with various services and data sources. What makes fastmcp special is how it simplifies the process of creating these M C P implementations while keeping things properly Pythonic. The repository has gained over twenty-four thousand stars, and they're actively maintaining it with recent fixes for OAuth proxy token handling and dependency updates. If you're building A I applications that need to connect to multiple data sources or services, or if you're working on agent systems that need to interact with various external tools, this could be a game-changer for your development workflow. The "fast" in the name isn't just marketing either, they've clearly focused on performance optimization. Skyler: Finally, let's talk about MoonshotAI slash kimi-cli, which is positioning itself as "your next C L I agent." This is particularly interesting because it's bringing A I agent capabilities directly to the command line interface, which is where many of us developers spend a significant portion of our time. With over eight thousand stars and active development including recent telemetry integration, this tool is clearly gaining traction. What's exciting about command-line A I agents is how they can streamline your development workflow by understanding context from your current directory, git history, and project structure. The latest version 1.37.0 shows they're actively iterating and improving the tool. If you're someone who loves working from the terminal and wants to integrate A I assistance directly into your command-line workflow, this could be a productivity game-changer. Skyler: That wraps up today's episode of Git News A I! Once again, huge thanks to LimitLess A I for sponsoring the show and helping us bring you the latest in A I development tools and frameworks. Don't forget to subscribe if you haven't already, and check the show notes for direct links to all the repositories we covered today. Until next time, keep coding and keep pushing the boundaries of what's possible with A I!