🚀 Meet shanraisshan/claude-code-best-practice: a gem from today's GitHub trending list.

🔗 https://github.com/shanraisshan/claude-code-best-practice
📝 from vibe coding to agentic engineering - practice makes claude perfect
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The claude-code-best-practice GitHub repository is a comprehensive resource for Claude Code users, providing a wide range of features, tools, and best practices to enhance productivity and efficiency.

Key features include Subagents, Commands, Skills, Workflows, and Hooks, which can be used to automate tasks, streamline workflows, and improve overall performance.

Technical highlights of the repository include its extensive documentation, best-practice guides, and implementation examples, making it an invaluable resource for both beginners and experienced users.

The repository is suitable for anyone looking to improve their Claude Code skills, including developers, engineers, and researchers.

To get the most out of this repository, users can explore the various features, tools, and guides provided, and use them to enhance their Claude Code experience.

In summary, the claude-code-best-practice repository is a must-visit destination for anyone looking to take their Claude Code skills to the next level: Master Claude Code and unleash your productivity potential.

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🔥 NanmiCoder/MediaCrawler is trending — and it deserves your attention.

🔗 https://github.com/NanmiCoder/MediaCrawler
📝 小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
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MediaCrawler is a powerful multi-platform media data collection tool that supports data crawling from popular platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

Its key features include keyword search, specified post ID crawling, second-level comment crawling, and more. The project utilizes Playwright for browser automation and does not require JS reverse engineering, making it more accessible.

To use MediaCrawler, you'll need to installdependencies like uv and Node.js, and then run the main.py file with the desired platform and login type. The project also provides a WebUI for a more visual experience.

The target audience for MediaCrawler includes developers, researchers, and individuals interested in learning about web scraping and data collection.

MediaCrawlerPro is also available, offering more advanced features like self-media content decomposition and multi-account support.

In short, MediaCrawler is a versatile tool for media data collection, suitable for both beginners and experienced users.

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🧠 Channel: https://xn--r1a.website/GithubRe

🔍 Deep-diving into simplex-chat/simplex-chat — fresh off the trending list.

🔗 https://github.com/simplex-chat/simplex-chat
📝 SimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱!
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The SimpleX Chat is a revolutionary messaging platform that prioritizes user privacy, with no user identifiers of any kind. It protects your messages and metadata with double ratchet end-to-end encryption and an additional encryption layer. Available on Android and iOS, as well as a terminal app on Linux, MacOS, and Windows, SimpleX Chat allows users to make private connections by sharing a link or scanning a QR code. The platform has a strong focus on community, with user groups and a directory for users to connect and share information. To get started, simply install the app and connect with the team or other users. SimpleX Chat is 100% private by design, and its open-source nature allows for transparency and community involvement. Join the movement and experience the power of private messaging - your conversations, your privacy, your way.

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ google-labs-code/design.md is making waves. Here's the full picture.

🔗 https://github.com/google-labs-code/design.md
📝 A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
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The DESIGN.md format is a specification for describing visual identities to coding agents, providing a structured understanding of design systems. It combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). The format includes colors, typography, rounded, and spacing tokens, as well as components that map to groups of sub-token properties.

To get started, you can validate a DESIGN.md file using the lint command:

npx @google/design.md lint DESIGN.md

You can also compare two versions of a design system using the diff command:

npx @google/design.md diff DESIGN.md DESIGN-v2.md

The format is designed for use by agents, such as coding tools, to produce consistent UI designs. The DESIGN.md format is still in its alpha version, and the spec, token schema, and CLI are under active development. Expect changes as it matures. Design consistency made easy - with DESIGN.md, your coding agents will always be on the same page!

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ commaai/openpilot is making waves. Here's the full picture.

🔗 https://github.com/commaai/openpilot
📝 openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
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openpilot is an operating system for robotics, currently used to upgrade the driver assistance system in over 300 supported cars. The key features of openpilot include its ability to run on various hardware, such as the comma four, and its extensive documentation. To use openpilot, you need a supported device, software, a supported car, and a car harness.

The project is developed by comma and the community, with contributions welcomed through pull requests and issues on GitHub. The code is MIT licensed, and the project follows ISO26262 guidelines for safety.

With its release-mici and nightly branches, openpilot offers a range of options for users, from stable releases to bleeding-edge development. Whether you're a developer or just a car enthusiast, openpilot is an exciting project to explore.
Get ready to shift your driving experience into high gear with openpilot - the future of autonomous driving is here!

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There are hundreds of AI channels on YouTube. Here's why we made another one.

Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along.

We built Guidely for everyone in between.

→ We start with absolute beginners in mind
→ Then take you deeper, until the details actually click
→ Every guide is reviewed by experienced AI engineers
→ We don't make more content. We make better content.
Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well."

Two good places to start 👇

→ AI vs ML vs Deep Learning vs GenAI ... But Done Right!
The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc

→ How to Break into AI Engineering in 2026
A senior applied scientist shares what actually matters:  youtu.be/42vE7Ij4kdU

If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please don’t forget to like and subscribe.

💡 kunchenguid/no-mistakes just hit the trending charts — here's why it matters.

🔗 https://github.com/kunchenguid/no-mistakes
📝 git push no-mistakes
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The no-mistakes tool is a game-changer for developers who want to ensure their code is clean and error-free before pushing it to the remote repository. Its purpose is to put a local git proxy in front of your real remote, allowing you to push to no-mistakes instead of origin. This triggers a disposable worktree, runs an AI-driven validation pipeline, and forwards the branch to the configured push target only after every check passes, automatically opening a clean PR.

The key features of no-mistakes include its non-blocking nature, which means the pipeline runs in an isolated worktree without disrupting your work. It's also agent-agnostic, supporting various agents like claude, codex, and opencode. Additionally, it allows for agent-native interactions, enabling your coding agent to perform tasks and gate them.

To use no-mistakes, simply run no-mistakes init to initialize the gate, then push your changes to no-mistakes instead of origin. The tool will take care of the rest, running the pipeline and opening a clean PR for you.

From a technical standpoint, no-mistakes is built using Go and utilizes a Makefile for development tasks. The code is well-organized, and the documentation is thorough, making it easy to get started.

The target audience for no-mistakes is developers who want to ensure their code is clean and error-free before pushing it to the remote repository. Whether you're working on a personal project or a large-scale enterprise application, no-mistakes is a valuable tool to have in your toolkit.

In summary, no-mistakes is a powerful tool that helps you kill all the slop and raise clean PRs. With its non-blocking and agent-agnostic nature, it's a must-have for any developer who wants to ensure their code is error-free and clean. So, why not give it a try and experience the power of no-mistakes for yourself? Push smarter, not harder, with no-mistakes!

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ grafana/grafana is making waves. Here's the full picture.

🔗 https://github.com/grafana/grafana
📝 The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Grafana is an open-source platform for monitoring and observability, allowing you to query, visualize, alert on, and understand your metrics from various storage locations. With fast and flexible client-side graphs and panel plugins, you can create dynamic and reusable dashboards with template variables. Key features include Explore Metrics and Explore Logs for ad-hoc queries and dynamic drilldown, as well as Alerting for visually defining alert rules.

Technical highlights include support for Mixed Data Sources, which allows mixing different data sources in the same graph. To get started, you can get Grafana and follow the installation guides. The platform is suitable for teams and individuals looking to foster a data-driven culture.

With a strong focus on community involvement, Grafana encourages contributing to the project and provides resources such as a Contributing guide and Developer guide. Whether you're a developer, a data analyst, or simply a curious individual, Grafana has something to offer. So why not give it a try and experience the power of data visualization - Grafana: where data meets insight.

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🧠 Channel: https://xn--r1a.website/GithubRe