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In-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
Building an AI Behavior Tree from Scra…
Detailed development log of a window capture module for an AI behavior tree game automation project, covering Python environment setup, OOP refactoring, and modular architecture design.
Red Alert Biochem Desert Map Guide: Bu…
Complete Red Alert Biochem Desert map guide covering Bunker Rush openings, gem ore control, harvester hunting tactics, and late-game strategies for economic domination.
Qoder's Context Engineering in Practic…
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
Building AI Agents with Node.js: Repla…
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
Context Engineering in Practice with C…
Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.
Ruflo: A Multi-Agent Orchestration Sol…
Ruflo is an open-source multi-agent orchestration platform that upgrades single-threaded Claude Code into a distributed AI dev team with 100+ specialized Agents and a SANA self-learning engine.
Tech FrontiersClaude Opus 4.8 launches on Cosmos with multi-hour autonomous task execution, end-to-end ticket-to-PR workflows, and deep Linear/Sentry integration, marking a new era for AI coding assistants.
Kiro Stops Providing Claude Model Serv…
Kiro officially stops providing Claude models and Auto Agent to Chinese users. Learn about the impact, official alternatives, refund policies, and practical strategies for affected developers.
Should Custom Software Teams Go All-In…
Should custom software teams go all-in on LLMs? Through a deep conversation with ChatGPT, we analyze scenario selection, Token costs, and industry fit to provide a rational decision framework for ToB developers.
Agent Memory: Giving AI Coding Agents …
Agent Memory is an open-source local memory layer providing persistent, cross-session, cross-tool long-term memory for AI coding agents like Claude Code, Cursor, and Codex.
Complete Guide to Connecting Gemini 3.…
Step-by-step guide to connecting Google Gemini 3.5 Flash to OpenAI Codex CLI via RouterLink proxy on macOS and Windows. Three-step setup for switching AI models.
Trae Third-Party API Integration Tutor…
Step-by-step tutorial on integrating third-party APIs in Trae via proxy platforms like DeepRouter to configure GPT-4 and Claude models in three simple steps.
Codex API Proxy Configuration Tutorial…
Complete guide to configuring Codex with an API proxy, covering CC Switch setup, API token creation and import, chat recovery, and troubleshooting for GPT-5.5 access.
The Right Way for Beginners to Build P…
Vibe Coding isn't just chatting with AI. Learn the Iterative Build Loop: Discuss, Document, Develop, Learn — with VS Code and Claude Code to build products from scratch.
Cursor Composer 2.5 Hands-On: An AI Co…
Hands-on review of Cursor Composer 2.5's Agent view, Plan mode, and right panel features. Coding ability matches Claude and GPT top models at up to 10x lower cost with significantly faster speed.
Tech FrontiersGoogle Gemini Spark launches for AI Ultra subscribers. This intelligent action assistant works across apps, shifting AI from information provider to task executor. Deep dive into its capabilities and competitive edge.
Tech FrontiersGoogle Gemini Drops brings a complete interface redesign and Gemini Spark 24/7 intelligent agent assistant. Deep analysis of the upgraded experience, agentic AI capabilities, and competition with ChatGPT and Copilot.
Tech FrontiersDeep analysis of Google Gemini Omni's physics-aware video generation: how it understands motion laws from video input to generate seamless dynamic content, covering core tech, applications, and industry impact.
35 Lines of Prompts Let Codex Auto-Opt…
An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.