49 related articles

Resume full of RAG and Agent but keep failing interviews? The issue is you only run demos and can't explain production engineering challenges. This article breaks down data cleaning, hybrid retrieval, hallucination protection, and agent loop breakers.

An AI/ML engineer with 4 years of experience faced 10 failed interviews in 15 months at Meta, Amazon, and more. This deep analysis breaks down the root causes and offers ML interview strategies and mindset advice.

Preparing for Citi's Junior Generative AI Application Developer final interview? This guide breaks down technical topics, behavioral questions, financial industry considerations, and efficient short-term prep strategies for LLM, RAG, and system design.

Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.

Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
Tech FrontiersAnthropic upgrades Claude's Slack integration with multiplayer collaboration, proactive responses, and persistent memory — transforming AI from a passive tool into a true team partner.

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.

Deep dive into Harness Engineering's four core principles: Documentation as Source of Truth, Mechanized Constraints, Feedback Loops, and Entropy Management, with practical AI Agent cases.

A complete guide to Claude Code from setup to deployment, covering Plan Mode, MCP connectors, reusable skills, CLAUDE.md project memory, and Vercel deployment — no coding experience needed.

A senior developer uses Claude Code to generate 10 playable web games including 2048, Gomoku, and Tetris with one-line prompts in under an hour. A deep dive into AI programming's real capabilities.

Use Claude Code to generate 10 web games like 2048, Gomoku, and Tetris from one-line prompts — zero manual coding. A full walkthrough of AI programming in practice.

Two non-coders built Shipper to $50K MRR in 6 months using AI tools. Learn their reverse-engineering, zero-free-tier, and viral growth playbook for indie developers.

A detailed Chinese practical guide for Claude Code covering installation, domestic model integration, code development, copywriting, data analysis, and more to help you master this AI programming tool.

From Grill Me to Grill With Docs: applying DDD's Ubiquitous Language to solve terminology drift and context loss in AI programming for efficient cross-session collaboration.

A complete guide to Claude Code covering installation, configuration, alternative model setup, code generation, bug fixing, and non-programming productivity use cases for beginners.
Industry InsightsOpenAI CEO Altman calls GPT 5.5 an 'Autistic Genius.' Codex downloads surge 1397% to 90M while Claude Code drops 38%. Deep analysis of the developer migration driven by cost, performance, and UX.
TutorialsIn-depth review of a 628-episode free Python full-stack tutorial on Bilibili, analyzing its strengths, limitations, and providing learning strategy advice for Python beginners.