335 related articles

Demo of ChatGPT Work as an AI Agent autonomously browsing AMC's website for IMAX tickets, setting hourly auto-checks for cancellations, and sending notifications.

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.

Jensen Huang's first-ever tweet backs open-weight AI. 50 Silicon Valley giants oppose banning Chinese open-source models. Deep analysis of the interests behind closed vs. open AI ecosystems.

Deep analysis of FeyNoBg, an open-source background removal project with pre-trained models and training library, compared to remove.bg and rembg solutions.

When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.

Explore Domain Events modeling: how separating facts from reactions reduces coupling, improves extensibility, with practical implementation advice and DDD community debates.

GPT-5.6 fully launches with enhanced coding, computer operation, and long-horizon agent tasks, plus a dual quota reset. Meanwhile, ByteDance opens its C-Dance 2.5 API and Mistral debuts a single-RGB-camera natural language navigation model.

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.

A new one-person company model: replacing human staff with an AI Agent team to fully automate newsletter research, writing, publishing, and analytics. 27,000 subscribers, monthly cost cut from $1,500 to $19.

From prompt engineering to context engineering to Harness engineering, this article breaks down the three evolutions of AI coding and offers engineering solutions to pain points like hallucinations, non-standard code, and infinite loops.

AI is reshaping the career landscape of Java development: junior CRUD roles are the first to go, but demand rises for engineers who understand business, architecture, and can command AI. A deep dive into the transformation path for Java developers.

From prompt engineering to Harness Engineering, a deep dive into the three-stage evolution of AI coding. Learn how enterprises use engineered frameworks to harness AI models for production-ready code.

From prompt engineering to Harness Engineering: a deep dive into the three-stage evolution of AI coding. Learn how enterprises use engineering frameworks to harness LLMs and ship production-ready code.
Alibaba Open-Sources Code Review Tool …
Alibaba open-sources code review tool open-code-review, using a hybrid architecture of deterministic rule pipelines and LLM Agents. Supports line-level comments, OpenAI/Anthropic APIs, battle-tested at Alibaba scale, written in Go, fully free and open-source.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

From Vibe Coding to AI Engineering, explore Claude Code vs Codex tool selection, real enterprise boundaries of AI programming, and how to build maintainable AI-assisted development workflows.

Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.

From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.

Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.

A deep dive into the DeepLearning.AI & Neo4j course 'Knowledge Graphs for RAG' — covering core concepts, vector retrieval synergy, and hands-on SEC filing demos.