This is the Linux app named PocketFlow Tutorial Codebase Knowledge whose latest release can be downloaded as PocketFlow-Tutorial-Codebase-Knowledgesourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named PocketFlow Tutorial Codebase Knowledge with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
PocketFlow Tutorial Codebase Knowledge
DESCRIPTION:
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers.
Features
- AI-driven codebase analysis and tutorial generation
- Supports GitHub repository crawling or local paths
- Inclusion/exclusion file patterns for customization
- Multi-language tutorial output
- Lightweight LLM framework underpinning analysis
- Scriptable output and configuration options
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pocketflow-tutorial.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.