642 related articles

How can non-CS graduate students use AI tools like Cursor to efficiently complete their thesis? A complete guide covering data sourcing, code adaptation, and AI-assisted modifications.

Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.

OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
Complete Guide to Cursor AI's Seven Wo…
In-depth guide to Cursor AI's seven work modes: Plan, Debug, Multitask, Ask, Image, Skills, and MCP Servers, with practical demos and scenario selection tips.

Harvard's youngest Chinese full professor Xi Yin reportedly joins OpenAI. His shift from string theory to AI reflects how compute is replacing talent as the core research resource.

A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.

Apple's Siri is undergoing its biggest reboot ever. Tim Cook sets AI strategy, Craig Federighi leads integration, and Mike Rockwell rebuilds Siri from the ground up.

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.
Deep Dive into the Three AI Programmin…
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.

Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.

AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.

Learn how to build a progress Skill for Claude Code using skill.md files to save and restore development progress across sessions, solving the context loss problem.

A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.

A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
Meta SAM 3D Receives CVPR Best Paper H…
Meta AI's SAM 3D wins CVPR 2026 Best Paper Honorable Mention, extending universal segmentation from 2D images to 3D space with major implications for robotics, autonomous driving, and AR/VR.

Google Gemini Omni demonstrates remarkable multimodal understanding through an absurd prompt stress test, revealing AI's semantic comprehension, cross-domain knowledge integration, and creative generation capabilities.