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Whats-LLM is an installation-free AI programming e-book for complete beginners, written by an art-student-turned-programmer, covering LLM basics, Cloud Code, and Codex with built-in quizzes and notes.
On-Policy Distillation Explained: Prin…
A deep dive into On-Policy Distillation: core principles, key differences from Off-Policy methods, and applications in model compression, reasoning transfer, RLHF alignment, and self-improvement.

Master prompt writing with the four-element framework (Role, Task, Requirements, Format), three techniques (few-shot, chain-of-thought, anti-hallucination), and avoid three common pitfalls for better AI results.

Build a fully installable mobile app in 30 minutes with zero code using AI tool Tusi. A complete walkthrough from requirements to finished product, showing how AI shifts app development from coding skills to clear communication.

Deep dive into the AI coding paradigm shift: from hand-crafted prompts to self-prompting agent loops. Learn how agent self-review and proactive context fetching enable scalable, high-quality AI coding.

Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.

A creator with no coding experience built a complete game using only AI prompts. Explore AI summoning power, zero-code development, and what it means for PMs, developers, and everyone.

A deep dive into Harness Engineering methodology — from Prompt Engineering to Context Engineering to Harness Engineering — covering enterprise setup, Skill systems, and pipeline-style AI programming.

A deep dive into Agent Skill's core concepts and internal structure, covering skill.md, references, scripts, and assets with a restaurant poster Skill example.

Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.

Vibe Coding is trending, but can it replace solid fundamentals? A deep analysis of why core principles, systems thinking, and knowledge frameworks remain a developer's moat in the AI era.

A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.

Real-world test of ChatGPT 5.4, Gemini 3.1, DeepSeek V4 Pro, and Kimi 5.1 on a Baidu dynamic web scraping task reveals surprising gaps in AI coding ability.

A developer reverse-engineered Claude Design into an open-source Skill for any Coding Agent. Generate presentations, homepages, app prototypes, and animations with one prompt. 16K GitHub Stars.

Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.

Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.

From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI generation is reshaping developer productivity.

From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI code generation is reshaping developer productivity.