Tag
A Twitter user shared a carefully curated collection of Claude Code learning resources, including Chinese tutorials, command tips, skill libraries, etc., for beginners to get started.
Recommends key X accounts in the AI field such as Anthropic, OpenAI, Google AI, and xAI, suggesting directly following frontline researchers and developers to get the latest AI updates.
Discovered an English learning guide with over 50k stars on GitHub. The author details how to use AI learning workflows and prompts to efficiently learn English, and personally tested it with good results.
A tweet listing free AI learning resources from top companies including Anthropic, Google, Meta, NVIDIA, Microsoft, OpenAI, IBM, AWS, DeepLearning.AI, and Hugging Face, with direct links to their courses.
This tweet recommends Stanford's CS336 course and a series of learning resources as a preparation path for joining OpenAI.
A tweet recommends learning graph and networking theory as a high-ROI investment, listing key books, courses, and tools.
A 20-year-old woman taught herself computer science for two years and became an AI engineer at Microsoft, sharing her learning notes and resource repository X-Plore.
A Twitter thread listing the top 10 practical resources for learning Apache Kafka and event-driven systems, including official documentation, books, courses, blogs, and hands-on projects.
A curated collection of must-use resources for building AI systems, including books, courses, and landmark papers.
A comprehensive roadmap for learning agentic AI, covering 12 stages from Python basics to production deployment, with free and freemium resources.
A reference library of 46 programming patterns extracted from real production code (e.g., React, Linux kernel, Go, Redis, etc.), each with interactive visualization, line-accurate source links, implementations in TypeScript/Python/Go/Rust, and runnable exercises. The site is bilingual (Chinese and English) and supports search and category browsing.
A list of 20 practical prompts for using Google's NotebookLM to summarize, analyze, and repurpose documents. Also highlights Lemma, an AI tool for automating research workflows.
A tweet contrasts two groups of AI app builders in 2026: those who watched a key 28-minute video from May 2025 and build compounding systems that ship faster, versus those still paying for outdated courses that miss Anthropic's latest advancements.
Recommends the 'NLP Zero to Hero' YouTube playlist as a structured course map for learning natural language processing, covering topics from tokenization to LSTM.
A former Google CEO shares the key directions for learning AI (agents, Claude Code, prompts, etc.) and recommends a series of free official learning resources from LangChain and Anthropic.
A Twitter thread recommending engineering blogs that significantly improve tech skills, claiming they are more valuable than formal bootcamps or courses.
A tweet highlights the 'awesome-learning' GitHub repo, a curated collection of free DevOps resources covering Linux, Docker, Kubernetes, Terraform, AWS, CI/CD, monitoring, and more, designed as a structured learning path.
Introduces five major reasons to learn the Gleam programming language (cross-platform, type safety, concise design, functional paradigm, active ecosystem) along with practical introductory resources, from an official website tour to Exercism.
Recommend following OpenAI Codex-related English official accounts, developer leads, and official resources to help Chinese developers get the latest Codex information and usage tips.
Recommends 12 YouTube channels, claiming these channels will provide more knowledge in 2026 than a four-year university degree, encouraging users to bookmark them.