Claude Code — dokumentace
Official documentation for Anthropic's agentic coding tool: from install through CLAUDE.md and skills to subagents and CI automation. The foundation for anyone letting AI work in their terminal.
Directory
Where to next
The best sites on AI and productivity aren't our competition — they're the continuation. This is where we send you onward. Every link is hand-checked: the site is alive, publishing, and exactly what we say it is.
Vibecoding & AI-assisted programming
The tools where AI-assisted programming starts today — and the places where you learn it best.
Cursor — dokumentace
Official docs for the Cursor AI editor: agent modes, rules, MCP, cloud agents. Useful even as a general primer on how today's AI editors are driven.
GitHub Copilot — dokumentace
Complete Copilot documentation, from completions to autonomous coding agents and code review. Most relevant if you live in the GitHub ecosystem.
Aider
Open-source pair programming with LLMs in your terminal — works with Claude, GPT and local models. The docs double as a good textbook on how AI-assisted coding works under the hood.
Cline — dokumentace
Official docs for the open-source coding agent for VS Code, JetBrains and the CLI. Human-in-the-loop by design: the agent asks before every action — a good model to start with.
Anthropic Engineering Blog
The technical blog of the team building Claude and Claude Code: agentic coding best practices, multi-agent systems, evals. The best material on how the authors of coding agents use them themselves.
Cursor Community Forum
A lively community forum for Cursor users: workflows, guides, troubleshooting. A good place to see how advanced users actually work with AI editors day to day.
Official AI documentation
Primary sources straight from the vendors. Before trusting a video tutorial, check here.
Claude Developer Platform
Anthropic's official developer documentation: Messages API, model choice, prompt engineering, tool use. The prompting chapters are useful even if you never write code.
Claude Cookbooks
Anthropic's official collection of runnable notebooks: RAG, classification, sub-agents, prompt caching. The fastest route from “I read about it” to “I tried it”.
OpenAI Cookbook
OpenAI's official recipe collection with practical examples for GPT models: agents, RAG, voice apps, fine-tuning. Continuously updated for the newest models.
Google AI for Developers
Google's official hub for building with Gemini, Gemma and AI Studio, including the Gemini API docs and guides for shipping AI on web and mobile.
Prompt Engineering Guide
DAIR.AI's extensive free guide to prompting: techniques, agents, RAG, research references. The most complete independent prompt-engineering resource we know of.
Model Context Protocol
Official documentation for the open MCP standard — “USB-C for AI apps”. Required reading if you want to connect AI tools to your own data and systems.
AI newsletters & blogs
The sources we follow ourselves: substantive, regular and hype-free.
Simon Willison's Weblog
The most meticulous chronicler of practical LLM use: daily notes, model tests, prompt-injection security. If you read just one AI blog, make it this one.
One Useful Thing
Professor Ethan Mollick's newsletter on what AI means for work and education. Academically honest yet readable — ideal for managers and enthusiasts without a technical background.
Latent Space
The newsletter and podcast for “AI engineers”: interviews with the people building agents and infrastructure at leading AI companies. Technical but approachable.
Interconnects
Nathan Lambert trains models at Ai2 and writes about what actually happens inside frontier labs — especially open models and RLHF. Some posts are paywalled.
Import AI
A weekly research digest by Jack Clark, Anthropic co-founder. Dense summaries of the papers that matter, with commentary on why they matter — free.
TLDR AI
A daily five-minute digest of AI news for a technical audience: models, research, tools. No sensationalism, free — a good way to stay current without doomscrolling.
Ben's Bites
A newsletter about actually building with AI: hands-on guides, agents, tool picks. Less news, more “here's what to do with it on Monday morning”.
Ahead of AI
Sebastian Raschka explains how LLMs work on the inside: architectures, training, reasoning. For readers who want to go one layer deeper than the news cycle.
Classic productivity
The methodologies and authors our own handbook builds on.
Getting Things Done
The official home of David Allen's GTD: blog, podcast and materials straight from the source. Skip the paid courses — the free articles and podcast are enough for a solid foundation.
Cal Newport
The author of Deep Work and Slow Productivity: essays and a podcast on focused work in a distracted age. A counterweight to hustle culture — fewer things, done properly.
Ness Labs
Neuroscientist Anne-Laure Le Cunff on “mindful productivity”: getting things done without burning out. Hundreds of free articles on thinking, learning and mental health.
Zen Habits
Leo Babauta has written about habits, simplicity and mindfulness for over fifteen years. A minimalist antidote to the idea that productivity means “more apps”.
Todoist Inspiration Hub
The editorial blog by the makers of Todoist: honest long-form guides to methods (GTD, time blocking) and time management in general. Far better than a typical company blog.
Farnam Street
Shane Parrish on mental models and better decision-making — the meta-skills every productivity system rests on. Articles and The Knowledge Project podcast are free.
The Imperfectionist
Oliver Burkeman (Four Thousand Weeks) sends a twice-monthly essay on productivity and mortality: what to do about the fact you can't get everything done. Free.
James Clear
The author of Atomic Habits: a deep archive on habit building plus the weekly 3-2-1 newsletter. The habits canon half the internet borrows from.
Tools & directories
Curated catalogs — for when you need a tool or an MCP server without wading through marketing.
PulseMCP
A community directory of MCP servers and clients with use cases and a newsletter. Maintained by people from the MCP community itself, so it keeps pace with the protocol.
Awesome MCP Servers
The biggest curated list of MCP servers on GitHub, sorted by category and actively maintained by the community. A dry list of links — which is exactly why it's fast to search.
Smithery
A registry of thousands of MCP servers with CLI install and managed auth. More practical than plain lists when you want to plug a server straight into Claude or another agent.
FutureTools
A catalog of thousands of AI tools sorted by category, updated daily. Curated by YouTuber Matt Wolfe — treat it as a broad first-orientation index rather than an editorial shortlist.
Free learning
Free courses from universities and vendors. No influencers, no get-rich-with-AI schemes.
DeepLearning.AI Short Courses
Short (1–2 hour) courses from Andrew Ng's team, often taught with engineers from Anthropic, OpenAI or Google: prompting, agents, RAG. Free and hands-on.
Hugging Face Learn
Free courses from Hugging Face: LLMs, agents, computer vision, audio. For technical readers who want hands-on work with open models.
Generative AI for Beginners
Microsoft's 21-lesson course on building generative-AI applications: from fundamentals through RAG to agents. Free, with Python and TypeScript code and a video per lesson.
Anthropic Academy
Anthropic's official courses: AI Fluency for everyday users, Claude Code and MCP for developers. Free, with a certificate on completion.
OpenAI Academy
OpenAI's free learning platform: AI foundations, working with ChatGPT, agents and workflows. A sensible start for office professionals bringing AI into their routine.
Neural Networks: Zero to Hero
Andrej Karpathy builds a neural net and then a GPT from scratch, line by line — a video series with notebooks. The best way to truly understand what happens inside an LLM.
Kaggle Learn
Free micro-courses from Kaggle: Python, pandas, machine learning, data visualization. Short interactive lessons in the browser — a good bridge from spreadsheets to data work.
fast.ai
Practical Deep Learning for Coders and other free courses by Jeremy Howard: deep learning taught top-down — results first, theory after. A time-tested classic.
We maintain this list continuously — dead or declining sources get removed. No link here is paid or affiliate. Know something great that's missing? Send us a tip.