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A detailed guide to using Codex plugins, categorized by scenario to help users select and configure plugins for their actual work needs.
OpenAI published a 34-page guide on building AI agents, emphasizing that an agent is essentially a loop: run the model, call a tool, feed back results, repeat until an exit condition. The guide covers tools, guardrails, and starting with a single loop before scaling to multiple agents.
A detailed guide to implementing design patterns in C, exploring how to apply object-oriented design principles in a procedural language.
A comprehensive interactive guide that helps users choose a public DNS resolver based on priorities like privacy, malware blocking, parental controls, speed, and jurisdiction, with a full comparison table and research-backed decision notes.
A comprehensive guide to running LLMs locally across various hardware and software setups is now available online for free, covering tools like llama.cpp, vLLM, and more.
A step-by-step guide on using Claude Cowork to automate knowledge worker tasks, enabling a one-person company to operate efficiently by offloading production work to AI while focusing on decisions.
发现一篇关于Agentic AI的全面指南，从基础到系统架构，覆盖了智能体AI的全貌。
A comprehensive guide to reviving older hardware with Linux, covering distro selection, hardware assessment, RAM tuning, SSD upgrades, and browser optimization, with recommendations for 2026 lightweight distros like antiX, BunsenLabs, Xubuntu, and Linux Lite.
OpenAI co-founder Andrej Karpathy released llm.c, an open-source guide to training LLMs from scratch with simple code that runs on any hardware, including CPUs and MacBooks, and is 7% faster than standard approaches.
Guide on running large language models like Gemma 4, Qwen 3.5, and Gemma 2 on local devices via USB drive, no dependencies, only 8GB RAM required.
A clear step-by-step guide to understanding Retrieval-Augmented Generation (RAG), covering explanations, visuals, and various architectures like Naïve RAG, Advanced RAG, Graph RAG, Multimodal RAG, and Agentic RAG.
A tweet promoting a 38-page PDF guide on building autonomous LLM agents, offering a free resource for learning about agentic AI systems.
Sharing an English learning guide for programmers, with 16.4k stars on GitHub, providing training methods based on the essence of language acquisition to help struggling programmers break through bottlenecks.
This is a comprehensive guide to Telegram from beginner to advanced, covering account security settings, privacy protection, chat management, channel and group operations, Bot applications, paid features, etc., helping users turn Telegram into a cross-border information tool.
A get-started guide for configuring agent permissions for Claude Tag, covering agent identity setup and design decisions.
The 'Codex Orange Book' is a free and open-source 206-page PDF guide that systematically introduces the installation, configuration, core features, and practical cases of OpenAI Codex, aimed at Chinese beginner developers.
A SaaS founder shares how a single LinkedIn post generated $13,860 in new MRR from 140 customers, and offers a guide to replicate the strategy.
A guide on building a custom AI agent for real estate market analysis.
A detailed guide on running the Qwen3.6-35B-A3B APEX model on an RTX 3090, comparing two llama.cpp forks and quantization methods for optimal speed and quality.
A thread recommending an article covering everything you need to know to run large language models locally at home and maintain ownership of your AI.