🎯 ossu/computer-science landed on trending. Worth a proper look.

🔗 https://github.com/ossu/computer-science
📝 🎓 Path to a free self-taught education in Computer Science!
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The ossu/computer-science GitHub repository offers a free and well-structured computer science curriculum. Its purpose is to provide a complete education in computer science using online materials, covering topics from computation and imperative programming to discrete mathematics and software architecture. The curriculum is designed to be completed in about 2 years with a time commitment of roughly 20 hours/week. It's suitable for self-motivated individuals who want a proper, well-rounded grounding in computer science concepts. The community provides support through a Discord server and GitHub issues. To get started, simply explore the curriculum and begin with the Intro CS course. Remember, you can't purchase success, so be prepared to put in the effort to achieve your goals! Learn to code, and code to learn - the world of computer science awaits!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 codecrafters-io/build-your-own-x is trending — and it deserves your attention.

🔗 https://github.com/codecrafters-io/build-your-own-x
📝 Master programming by recreating your favorite technologies from scratch.
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The codecrafters-io/build-your-own-x repository offers a vast collection of step-by-step guides for re-creating popular technologies from scratch, including 3D renderers, AI models, blockchains, and more. With tutorials covering a wide range of programming languages, such as C++, Java, Python, and JavaScript, developers can choose their preferred language to build and learn. The repository provides a unique opportunity for hands-on learning, allowing users to gain a deeper understanding of complex technologies by building them from the ground up. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, get ready to code and learn! Build your own technology from scratch and discover the power of hands-on learning: "What I cannot create, I do not understand" becomes your new motto.

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🧠 Channel: https://t.iss.one/GithubRe

🌟 PostHog/posthog caught my eye on GitHub Trending today.

🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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PostHog is an open-source platform for building self-driving products, providing a suite of tools to help you understand user behavior, diagnose issues, and optimize your product. With PostHog, you can capture product analytics, web analytics, session replays, feature flags, experiments, error tracking, logs, surveys, and more. The platform is free to use with a generous monthly free tier, and you can self-host it or use the cloud version.

Key features include:
- Self-driving mode: Turns signals in your product data into researched reports and pull requests.
- Product analytics: Autocapture or manually instrument event-based analytics.
- Web analytics: Monitor web traffic and user sessions with a GA-like dashboard.
- Session replays: Watch real user sessions to diagnose issues and understand user behavior.
- Feature flags: Safely roll out features to select users or cohorts.

You can get started by signing up for PostHog Cloud US or PostHog Cloud EU, or by self-hosting the open-source hobby deploy with

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"

.

PostHog is ideal for product teams, developers, and anyone looking to build a successful product. With its robust feature set and generous free tier, PostHog is a game-changer for anyone looking to take their product to the next level. Try PostHog today and discover the power of self-driving products - it's like having a superpower for your product!

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into HenryNdubuaku/maths-cs-ai-compendium — fresh off the trending list.

🔗 https://github.com/HenryNdubuaku/maths-cs-ai-compendium
📝 Become a cracked AI/ML Research Engineer
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The Maths, CS & AI Compendium is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. It's written for curious practitioners looking to deeply understand the concepts, not just survive an exam or interview. The author, Henry Ndubuaku, shares his notes and experiences working in AI/ML, which helped his friends get into top companies like DeepMind and OpenAI.

The compendium includes an MCP server that lets any AI assistant use it as a knowledge base, along with tools for educational purposes and example implementations. It covers a wide range of topics, from vectors and matrices to machine learning and computer vision.

To get the most out of this resource, users can follow the author's suggested study technique, which involves cumulative reading, shadow reading, and implementing concepts in code. The compendium is suitable for anyone looking to deepen their understanding of maths, CS, and AI, and is available online at henryndubuaku.github.io/maths-cs-ai-compendium/.

One-liner takeaway: Unlock your full potential with the Maths, CS & AI Compendium, and trust the process to become a proficient AI researcher and engineer!

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet Nutlope/hallmark: a gem from today's GitHub trending list.

🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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The Hallmark GitHub repository offers a unique design skill for Claude Code, Cursor, and Codex that generates human-like designs. Its key features include twenty themes, four verbs (*(default)*, hallmark audit <target>, hallmark redesign <target>, and hallmark study <screenshot | URL>), and a custom mode for tailored designs. To use Hallmark, simply install it with npx skills add nutlope/hallmark and access its various features. From a technical standpoint, Hallmark utilizes a macrostructure, applies a rule-set, and runs a slop test to ensure high-quality designs. This repository is perfect for developers and designers looking to create unique, non-template-based designs. In short, Hallmark is a game-changer for design skills - it's like having a human designer in your code.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 github/copilot-sdk landed on trending. Worth a proper look.

🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK allows you to embed Copilot's agentic workflows in your application, leveraging the same engine behind Copilot CLI. With SDKs available for Python, TypeScript, Go, .NET, Java, and Rust, you can define agent behavior and let Copilot handle planning, tool invocation, and more.

To get started, install the SDK for your preferred language, then follow the getting started guide for a walkthrough of the process. The SDK communicates with the Copilot CLI server via JSON-RPC, managing the CLI process lifecycle automatically.

Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready, following semantic versioning, and is suitable for developers looking to integrate Copilot's functionality into their applications.

In short, the GitHub Copilot SDK is a powerful tool for streamlining development - integrate it into your workflow and let the AI do the heavy lifting.

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🧠 Channel: https://t.iss.one/GithubRe

💡 anthropics/cwc-workshops just hit the trending charts — here's why it matters.

🔗 https://github.com/anthropics/cwc-workshops
📝 No description.
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The anthropics/cwc-workshops GitHub repository offers a collection of workshop materials from Anthropic's Code with Claude sessions. The workshops directory contains various projects, including rightmodel, agent-decomposition, and ship-your-first-managed-agent, each focusing on a different aspect of coding with Claude.

These workshops cover a range of topics, from picking the right model to composing multi-agent systems and shipping managed agents. The repository also includes materials on Claude coding, agent battles, and eval-driven agent development.

The target audience appears to be developers interested in AI-assisted coding and agent development.

One key takeaway: Explore the possibilities of coding with Claude through these engaging workshops and take your agent development skills to the next level.

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🧠 Channel: https://t.iss.one/GithubRe

⚡ PrismML-Eng/Bonsai-demo is making waves. Here's the full picture.

🔗 https://github.com/PrismML-Eng/Bonsai-demo
📝 Bonsai Demo
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The Bonsai-demo repository on GitHub is a demo for the Bonsai and Ternary-Bonsai language models. The purpose of this repo is to allow users to run these models locally on their machines, supporting various platforms including Mac, Linux, Windows, and CPU.

The key features of the Bonsai-demo include vision-language models, agentic tool calling, and reasoning models. The vision-language models can process images, screenshots, and PDFs, while the agentic tool calling feature enables native OpenAI-style tool calls. The reasoning model allows users to pick the reasoning effort per chat or budget it per request.

To use the Bonsai-demo, users can follow the Quick Start guide, which involves cloning the repository, setting environment variables, and running the setup.sh script. The repo supports various model sizes, including 27B, 8B, 4B, and 1.7B, and users can switch between the Ternary and 1-bit families.

The technical highlights of the Bonsai-demo include its support for GGUF (llama.cpp) and MLX 1-bit formats, as well as its compatibility with various backends, including CPU, Metal, CUDA, and Vulkan. The demo also provides a VISION.md guide for using the vision-language models and a TOOLS.md guide for using the agentic tool calling feature.

The target audience for the Bonsai-demo appears to be developers and researchers interested in natural language processing and vision-language models.

In summary, the Bonsai-demo repository provides a powerful tool for running Bonsai and Ternary-Bonsai language models locally, with features like vision-language processing and agentic tool calling, making it an exciting project for NLP enthusiasts: Experience the future of AI with Bonsai-demo!

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🧠 Channel: https://t.iss.one/GithubRe

💡 protocolbuffers/protobuf just hit the trending charts — here's why it matters.

🔗 https://github.com/protocolbuffers/protobuf
📝 Protocol Buffers - Google's data interchange format
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The Protocol Buffers project, also known as protobuf, is a language-neutral and platform-neutral data interchange format developed by Google. The protobuf project enables you to serialize structured data, making it a versatile tool for various applications.

To get started, you can install the protocol compiler (protoc) and the protobuf runtime for your chosen programming language. The project supports multiple languages, including C++, Java, Python, and more. You can find installation instructions and documentation for each language in the corresponding source directory.

The project uses Bazel as its build tool, and you can use Bzlmod or WORKSPACE to manage dependencies. For example:

bazel_dep(name = "protobuf", version = <VERSION>)

The Protocol Buffers project has a strong focus on community and support, with a developer guide, tutorials, and a Google Group for connecting with other developers and users.

One-liner takeaway: Master Protocol Buffers to unlock efficient data serialization and deserialization across languages and platforms!

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🧠 Channel: https://t.iss.one/GithubRe