63 related articles

Analysis of platform dependency risks for Substack authors and why an independent website is essential. Practical strategies for using Substack alongside your own site, with alternatives like Ghost and static sites.

Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.

A 6-week systematic learning path for frontend engineers transitioning to AI Agent development, covering core architecture, ReAct, multi-agent collaboration, RAG integration, and deployment.

A detailed guide to OpenAI Codex's core features and setup, comparing it with Claude Code, plus practical tips for configuring DeepSeek and avoiding common pitfalls.

Facing the AI wave, how can Java developers transition from traditional CRUD backend work to AI application development? This article breaks down the AI+ national strategy, China's AI catch-up logic, and offers a practical path.

Codex is OpenAI's AI programming assistant that lets you write code in natural language. This article breaks down Codex's core features, use cases, and why programmers must master AI coding tools.

Claude Code creator Boris and developer Theo reveal: in the AI Agent era, tinkering habits like automation, building small tools, and writing CLAUDE.md are becoming the core edge for reaching Staff engineer level.

An analysis of DeepSeek's Liang Wenfeng 4-hour investor meeting: restrained pricing with 10-month payback, why open source doesn't hurt revenue, the Agent–continual learning–self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

Decoding DeepSeek's Liang Wenfeng 4-hour investor Q&A: 10-month-payback restrained pricing, why open source doesn't hurt revenue, the Agent-continual learning-self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

Full-stack developer transitioning to AI/ML? Compare Google, AWS, and Microsoft AI certifications, understand the two career paths, and learn what actually matters.
CS Self-Study Guide: The 74K-Star Comp…
A 74K-star GitHub project by Peking University students curates MIT, Stanford, and CMU open courses into a complete CS self-study roadmap covering algorithms, OS, databases, and more.

A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.

A 3-month structured roadmap for developers transitioning into AI/LLM engineering: Python & API basics, LangChain/FastAPI stack, and RAG/Agent projects.

A 47-year-old engineer who pivoted to data science faces re-employment struggles — a mirror of AI-era anxiety: does using AI count as coding? How to break the midlife career trap?

A hands-on guide to LLM fine-tuning: from understanding model weights to local Qwen3 deployment, dataset preparation, and domain-specific training. Build a complete AI engineering skill set.

AI agents are reshaping what designers do. A senior designer shares why understanding agent infrastructure is essential and how to learn by building fun projects.

An electronics engineering student who hates hardware wants to pivot to backend dev, facing a dilemma between a "guaranteed" degree and a third-tier BCA. We break down the degree vs. skills tradeoff, how to explain gaps, and self-study paths.

A deep dive into Vibe Coding: how AI-led development workflows are reshaping frontend engineers' value. From interview hot topics to a three-tier competency model for the AI era.

A real-world retrospective on AI-assisted Python reverse engineering: from JS obfuscation tracing and SM2/SM4 key extraction to generating decryption code with DeepSeek. An honest assessment of LLM value and legal risks.

How can frontend engineers transition into AI development? This guide covers four agent development directions: RAG, workflow agents, vertical agents, and general-purpose agents — with framework picks like LangChain.js.