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A comprehensive guide to keyboard customization, covering hardware like macro pads and software approaches to enhance productivity and enjoyment, aimed at enthusiasts and newcomers alike.
Anthropic released a 33-page guide on Claude Skills, providing comprehensive instructions for using the feature.
A comprehensive guide on evaluating LLM-based agent systems, covering fundamental concepts, evaluation frameworks, and case studies from recent benchmarks.
A detailed guide on evaluating AI agents, covering fundamentals, common evaluation patterns, and case studies of popular benchmarks like Tau-Bench and Terminal-Bench.
A review of the best hardware for running local AI agents, recommending the used RTX 3090 as the best value for most people.
A comprehensive guide to the Pi Coding Agent, comparing its features to Claude Code and highlighting its support for the /goal command.
A developer analyzed X's open-sourced recommendation algorithm and built an AI agent using Claude that autonomously creates and posts content, reportedly achieving 6 million views in two days.
A comprehensive practical guide to Claude Code covering setup, skills, hooks, MCP, agent teams, and prompt engineering for developers.
A comprehensive 115-page guide to fine-tuning large language models, covering theory and practice.
NVIDIA has released an official getting started guide for hermes on DGX Spark, helping newcomers explore local agentic AI.
This guide teaches Claude Opus agent architecture to help engineers close the skill gap between $95K and $300K salaries, a skill highly valued by companies.
This article introduces the open-source Harness Engineering books, aiming to help zero-basis users efficiently Vibe Code through Claude Code and Codex, explaining in detail how to build constraint systems to deal with the behavioral consequences of AI programming models.
Phil Schmid published a guide for developers on getting started with Google's new Gemini Deep Research Agent.
A curated list of three Anthropic Skilljar courses—Claude 101, Claude Code 101, and Claude Code in Action—recommended as the essential weekend path to mastering Claude.
PKUFlyingPig/cs-self-learning 是一个开源的计算机科学自学指南，整合了众多名校的优质课程资源，帮助自学者系统地学习CS，涵盖数学、编程、系统、AI等多个领域。
A comprehensive guide to self-hosting software applications locally, covering cloud services, LLMs, WireGuard, automation, Home Assistant, and networking.
A comprehensive, structured guide for mastering Claude Code features, including slash commands, hooks, skills, MCP servers, and subagents, with visual tutorials, copy-paste templates, and a progressive learning path from beginner to power user.
A comprehensive practical guide to LLMs covering inference mechanics, tokens, Transformers, KV cache, local deployment hardware, and quantization as of May 2026.
This video guide offers a step-by-step approach to mastering AI in 2026, emphasizing depth over tool-switching and covering ecosystems like ChatGPT, Gemini, and Claude.
A guide titled '12-Factor Agents' outlining principles for building reliable LLM applications, inspired by the 12 Factor App methodology. It provides actionable guidelines for production-grade AI agent development.