Projects sharing features with Prompt Eng Interactive Tutorial

Pluto.jl is a reactive computing environment for Julia that functions as a programmable document format. It serves as an interactive data science IDE and a polyglot computational notebook that stores Julia code and environment dependencies as versionable source files. The system is distinguished by its reactive execution model, which uses a directed acyclic graph to track variable dependencies and automatically re-evaluate affected downstream cells when a value changes. It ensures reproducibility by integrating isolated package environments directly within the notebook file and persisting con

Made-With-ML is an automated documentation generator and developer experience platform designed to transform source code into structured, searchable reference websites. It functions as a codebase intelligence tool that parses implementation details to provide clear explanations of logic and data requirements. The system distinguishes itself by leveraging language-level type annotations and structured code comments to generate interface specifications. By utilizing static analysis to extract metadata, it automates the transformation of docstrings into web-ready documentation, ensuring that tec

This project is a curated library of community-driven prompt templates and personas designed to improve interactions with large language models. It functions as a prompt engineering guide, providing interactive tutorials and examples to teach advanced design and reasoning techniques. The library can operate as a Model Context Protocol server, providing a standardized interface for AI tools and agents to access prompt data as a service. For organizations, it offers a self-hosted repository option that allows for private deployment on internal infrastructure with custom authentication and data

This project is an open educational curriculum designed to teach the fundamental concepts and practical applications of artificial intelligence. It provides a structured, modular path for developers to build technical proficiency in machine learning, neural networks, computer vision, and natural language processing. The curriculum distinguishes itself through an interactive learning path that integrates executable code blocks directly into the documentation. By utilizing a series of Jupyter notebooks, learners can run experiments, visualize results, and complete hands-on coding exercises with

This project is a technical learning resource and developer knowledge base focused on the integration of large language models into software applications. It provides a structured collection of guides and code examples designed to teach developers how to implement intelligent features using proven patterns and best practices. The repository distinguishes itself through a library of functional demonstrations that cover complex topics such as retrieval-augmented generation, function calling, and prompt engineering workflows. These materials are organized into a modular structure, allowing for t

Scala Exercises is an interactive learning platform designed for mastering the Scala programming language through browser-based coding challenges. It functions as a comprehensive educational framework that structures programming lessons into sequential modules, providing immediate feedback on user-submitted code through automated validation. The platform distinguishes itself by treating educational content as modular, versioned artifacts that can be dynamically registered and integrated as project dependencies. This architecture allows for the creation of custom learning paths where exercises

This project is a community-driven educational roadmap designed to guide individuals through the foundational concepts and technical practices of modern infrastructure operations. It functions as a comprehensive learning curriculum that breaks down complex technical domains into discrete, time-bound units to facilitate incremental skill acquisition for those pursuing careers in cloud engineering and site reliability. The repository distinguishes itself through a modular approach to knowledge sharing, where technical documentation is maintained as a collaborative, version-controlled library. B

Blowfish is a responsive theme for the Hugo static site generator, designed for creating content-focused websites. It utilizes the Tailwind CSS UI framework for utility-first styling and a Go-based engine to transform templates into plain HTML. The project features a technical content renderer that transforms LaTeX and Mermaid syntax into mathematical equations and SVG diagrams. It includes a serverless search system that generates a JSON index at build time for client-side retrieval and a multilingual publishing framework with support for right-to-left scripts. The theme covers a broad rang

Slidev is a markdown-based presentation framework designed for creating interactive, web-based slide decks. It functions as a static site generator that transforms plain text files into modular UI components, allowing authors to maintain version control while building professional presentations. The engine provides a browser-based runtime that manages slide navigation, animated transitions, and the live execution of code blocks. What distinguishes Slidev is its developer-centric approach to technical presentations. It features built-in support for syntax highlighting, mathematical typesetting

JupyterLite is a WebAssembly-based interactive notebook environment that enables browser-based computing without a backend server. It provides a client-side data science sandbox where users can execute programming language kernels and run interactive notebooks entirely within the web browser. The project allows for the creation of tailored distributions by pre-installing specific language packages, bundling custom wheels, and applying environment configurations. It supports the generation of static sites that can be deployed to any standard HTTP host, including the ability to package the envi

This project is a community-driven repository that serves as a comprehensive directory for the design industry. It provides a structured index of software, plugins, and digital assets, helping creative professionals discover and evaluate tools tailored to specific stages of the design process. The collection is maintained through a decentralized, community-driven model where external contributors submit and verify entries to ensure the information remains current. To assist users in navigating the complex ecosystem of design technology, the repository employs a hierarchical taxonomy that orga

toBeTopJavaer is a technical knowledge base and educational resource focused on Java language mastery and backend engineering education. It provides a structured learning path designed for software engineering career growth, covering both core fundamentals and advanced engineering patterns. The project specifically supports Java technical interview preparation through curated question sets and detailed answers used to navigate engineering evaluations for professional developer roles. The content is delivered as a static site generated from Markdown files, utilizing a theme-driven layout and

This project is a curated directory of resources, extensions, and themes designed to extend the functionality of the Visual Studio Code editor. It serves as a comprehensive index for developers seeking to enhance their coding environment, offering a structured collection of community-driven tools that streamline development workflows and improve editor productivity. The directory distinguishes itself by organizing a vast ecosystem of plugins into logical categories, ranging from language-specific intelligence and version control integrations to advanced productivity utilities. It highlights t

Refined GitHub is a browser extension enhancement suite designed to improve developer productivity by augmenting the native web interface of code hosting platforms. It functions as a modular framework that injects custom JavaScript and stylesheets directly into the browser context, allowing for real-time manipulation of the page structure and visual design. The project distinguishes itself through a declarative architecture that monitors the document for structural changes, enabling it to dynamically patch interface elements as users navigate. By intercepting native event flows and applying c

This project provides methodologies and guides for structured prompt engineering, generative workflows, and specialized image generation strategies. It serves as a framework for optimizing inputs to large language models across coding, writing, and analysis tasks, as well as a library of techniques for controlling diffusion models. The project distinguishes itself through an AI-driven software design framework that converts business requirements into technical architectures and code using domain-driven prompting. It also implements generative AI workflow patterns that use sequential prompt pi

This project is a comprehensive guide and framework for designing, optimizing, and securing inputs to improve the accuracy and reasoning of large language model outputs. It provides core methodologies for implementing logical reasoning steps, example-based learning, and reusable template systems. The framework distinguishes itself through a focus on security guardrails and ethical auditing, implementing primitives to prevent adversarial prompt injection attacks and identify biases. It also emphasizes structured generation, using persona assignment and negative constraints to control the tone,

This project is a technical curriculum and development guide focused on large language model prompt engineering, fine-tuning, and the creation of retrieval augmented generation applications. It serves as a comprehensive resource for developers to master crafting precise instructions and textual patterns to improve the quality and predictability of model outputs. The material covers the end-to-end workflow of adapting open-source models to specific datasets and integrating language models with vector databases to generate responses based on private information. It also provides a systematic ap

This project serves as a comprehensive reference tool for prompt engineering within generative image models. It provides a structured guide for exploring artistic styles, technical parameters, and keyword combinations to assist in achieving specific aesthetic outcomes and consistent visual themes. The resource distinguishes itself by enabling direct comparisons between different model versions, allowing users to observe how specific keywords and settings influence output quality over time. By organizing visual examples and technical data into a hierarchical taxonomy, it facilitates the iterat

This project is a comprehensive documentation site framework and static site generator theme designed to transform markdown files into professional, responsive websites. It functions as a technical content platform that supports complex documentation projects, including multi-project management, blog workflows, and advanced content formatting. By processing source files through an extensible pipeline, it generates self-contained HTML sites that can be hosted on any web server without a database. What distinguishes this framework is its focus on developer experience and highly configurable bui

This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and workflow patterns with large language models. It serves as a prompt engineering guide, an evaluation suite for scoring prompt quality, and a framework for orchestrating agents and integrating external tools. The project provides implementation patterns for building applications with Claude, specifically focusing on coordinating multiple models to split complex tasks between high-reasoning and high-efficiency agents. It includes technical demonstrations for multimodal data proce

This project serves as an educational resource and guide for prompt engineering, providing a structured methodology for interacting with large language models. It focuses on teaching core strategies to improve the reliability, accuracy, and consistency of model outputs across a variety of natural language processing tasks. The framework emphasizes the use of standardized templates and logical decomposition to manage complex instructions. By implementing techniques such as few-shot context injection, iterative refinement, and delimiter-based segmentation, the project demonstrates how to guide

This project is a comprehensive guide and framework for large language model prompt engineering. It provides a collection of techniques and patterns for optimizing model responses through structured system prompts, context management, and a variety of implementation patterns. The project focuses on several specialized domains, including the creation of autonomous agents through reasoning loops and the implementation of retrieval augmented generation to inject semantic context into prompts. It also provides methods for enforcing structured outputs in serialization formats like JSON or YAML for

This repository is a comprehensive set of tutorials and examples for building software powered by large language models. It serves as an application development guide and a prompt engineering framework, providing instructional content for integrating model logic with user interfaces and external data sources. The project provides technical walkthroughs for specialized workflows, including the implementation of retrieval augmented generation using vector databases and semantic search. It includes guidance on adapting pre-trained model weights through fine-tuning with private datasets and the o

This project is a collection of educational resources and curricula designed for mastering AI pair programming and prompt engineering. It provides a structured training course and instructional materials for integrating AI assistants into the software development lifecycle. The materials cover the use of large language models to modernize legacy code and translate applications between programming languages. It includes a specific guide for crafting natural language queries to generate code and automate development workflows. The content addresses a broad range of capabilities, including AI-a

This project is a structured educational resource designed to guide developers through the mastery of the JavaScript programming language. It utilizes a progressive curriculum that organizes technical concepts into a daily learning path, allowing students to build foundational knowledge before advancing to complex application development. The resource distinguishes itself through a hands-on training model that combines detailed explanations with practical code challenges. By focusing on an interactive learning experience, it reinforces core language principles—such as data types, functional p

This project is a comprehensive educational framework and curriculum designed to transition beginners into proficient security engineers. It provides a self-taught hacking curriculum centered on mastering system internals, programming, and attack techniques through structured pedagogical paths and recursive learning. The framework distinguishes itself by integrating a productivity system specifically for engineers, which combines block-based time scheduling and incremental task management to prevent burnout and overcome procrastination. It further connects technical growth to professional adv

WebContainer is a browser-based runtime environment designed to execute server-side code, operating system commands, and full-stack development toolchains directly within a web tab. It provides the infrastructure for cloud IDEs and zero-install development workflows by simulating a runtime that eliminates the need for local installations or remote virtual machines. The system leverages WebAssembly to map system calls and implements a virtual POSIX-compliant filesystem and network interception layer. This allows the runtime to spawn command-line processes, execute shell commands, and route int