421 related articles
Industry InsightsDeep analysis of Claude Code's open-source architecture: dual-loop execution engine, seven-step tool security pipeline, token compression, multi-agent collaboration, and memory system for AI Agent development.
Tech FrontiersAnthropic donates AI alignment tool Petri to Meridian Labs with a major update improving adaptability, realism, and depth. Analysis of the impact on AI safety.
Tech FrontiersProject Glasswing is a collaborative AI cybersecurity initiative that discovered over 10,000 high-severity vulnerabilities in its first month, reshaping proactive security auditing at scale.
Tech FrontiersCLAUDE.md hits GitHub trending with 4 core rules for taming AI coding assistants: ask when unsure, don't over-engineer, stay on task, and give goals not steps. Master the new AI collaboration methodology.
Industry InsightsExploring the value dynamics between AI models and the application layer: why models can stay behind the scenes yet remain irreplaceable. Analyzing AI business strategy from OpenAI to Anthropic.
Tutorials4 methods to keep AI coding tools like Claude Code running continuously: Batch script loops, Hooks, external orchestration tools, and Go commands — with prompt tips.
Industry InsightsDeep comparison of Google Gemini CLI, OpenAI Codex, and Claude Code — three AI coding tools taking divergent paths: platform OS, task queue command center, and UNIX toolchain.
Expert OpinionsYC CEO Gary Tan returned to coding after 13 years using Token Maxing with Claude Code, completing a $4M project in 5 days. Detailed breakdown of his 15 parallel agents, Plan-Eng-Review skills framework, and G-Stack open-source workflow.
TutorialsA detailed breakdown of the five-module prompt formula for AI website creation: role assignment, requirements, visual style, interactions, and tech stack for stunning front-end pages.
Industry InsightsIn 2025, entire front-end teams are being replaced by AI. Real cases from Shanghai to Shenzhen reveal how AI replacement is reshaping the programmer job market and what developers can do about it.
Product ReviewsIn-depth analysis of Google I/O 2026's AntiGravity 2.0 desktop app, Go-rewritten CLI, and Gemini 3.5 Flash model. Covers multi-agent workflow testing, benchmarks, and competition with Claude Code/Cursor.
Tech FrontiersOpenAI CEO Sam Altman and former Apple design chief Jony Ive announce IO's merger with OpenAI to build AI-native hardware. Altman calls it "the coolest tech product ever," aiming to democratize AI.
Tech FrontiersOpenAI merges with Jony Ive's hardware company io to create a new AI device beyond the iPhone. Altman calls it "the coolest tech product ever made," marking AI's leap from software to new hardware.
Tech FrontiersFormer Apple designer Jony Ive and Sam Altman announce io's merger with OpenAI to build a new AI hardware device. Learn about io's vision, product philosophy, and why current devices fall short.
Tech FrontiersDeep analysis of Alibaba's Qwen3.7 Max: 1T-parameter MoE architecture, 256K context window, leading agent programming capabilities, full framework compatibility, and the model-vs-harness industry debate.
Expert OpinionsWhen AI writes code faster than most engineers, should ordinary people still learn to program? A veteran developer analyzes how coding skills become the lever for harnessing AI productivity.
Deep DivesThe core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
Tech FrontiersGPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.
Deep DivesDeep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
Deep DivesCan AI really program? This article explains how LLMs generate code through massive training and pattern matching, and analyzes the true capabilities and limitations of AI coding tools.