2308 related articles
TutorialsA complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Expert OpinionsProgramming barriers once divided the world into those who build software and those who merely use it. AI coding tools and LLMs are breaking down that wall, enabling anyone to create apps through natural language.
Deep DivesDeep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
Expert OpinionsIn-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
Deep DivesDeep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
TutorialsA deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Deep DivesDeep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
Tech FrontiersDatasette founder Simon Willison launches official blog built with OpenAI Codex Desktop, sharing full AI session transcripts and demonstrating transparent AI-assisted development practices.
TutorialsA systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Tech FrontiersGitHub Copilot Cloud Agents now support fully configured dev environments with repo cloning, dependency installation, and toolchain credentials—evolving AI from code completion to autonomous development.
Tech FrontiersOn AlphaGo's 10th anniversary, Hassabis reunites with Lee Sedol in Korea. A look at how the 2016 match transformed Go theory, training, and AI's path to general intelligence.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Product ReviewsRoo Code launches Arena Mode for blind AI model comparison and Plan Mode for plan-first coding workflows, enhancing AI-assisted programming control and evaluation.
Tech FrontiersGitLab announces Act 2 restructuring: cutting 30% of operating countries, removing three management layers, splitting R&D into 60 autonomous teams. A deep dive into GitLab's Jevons Paradox bet on the AI agent era.
TutorialsComplete guide to Claude Code installation and configuration with usage notes for China, plus side-by-side comparison with Cursor, Copilot, and Trae to help developers choose the best AI coding assistant.
Product ReviewsIn-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
Tech FrontiersCursor launches automatic CI failure repair with an always-on AI Agent that monitors GitHub repos, analyzes CI logs, identifies root causes, and submits fix PRs.
Tech FrontiersCursor launches Claude Opus 4 Fast Mode with 2.5x speed but 6x cost. We analyze use cases, cost tradeoffs, and practical tips to help you decide if it's worth it.
Tech FrontiersCursor officially integrates with Microsoft Teams, enabling @Cursor AI agent invocation in channels for task delegation and code info retrieval. Analysis of features, strategy, and team impact.