1285 related articles
Product ReviewsIndependent developer benchmarks Claude Haiku 4.5 vs Sonnet in agentic coding using a multi-agent monitoring system, revealing speed gains, precision gaps, and the optimal model hierarchy strategy.
Product ReviewsAnthropic releases Claude Haiku 4.5: coding rivaling Sonnet 4 at 1/3 the cost and 2x speed. A dev built browser-based macOS for just 28 cents, redefining small AI model capabilities.
Tech FrontiersDeep dive into Anthropic's Claude Haiku 4.5: a lightweight AI model with nearly 2x speed, 66% lower cost, and multi-agent support—ideal for developers seeking performance at scale.
TutorialsDeep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
TutorialsDeep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
TutorialsA practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.
Expert OpinionsTraditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
Product ReviewsHands-on review of Claude Code Agent Views parallel development: cross-project parallel, Git Worktree multi-branch workflows, Space compact mode, plus key caveats on rate limits and Worktree merging.
TutorialsJules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
TutorialsDeep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
Deep DivesA clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
TutorialsComplete guide to Browser Use, the open-source AI browser automation agent: installation, Web UI usage, code integration, architecture, and token optimization tips for automating web tasks with natural language.
TutorialsIn-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
Deep DivesDeep dive into Microsoft's open-source Magentic-UI: a human-AI collaborative Agent platform built on AutoGen. Explore its five core capabilities, system architecture, and Human-in-the-Loop design.
Product ReviewsDify-Chat is an open-source platform built on the Dify API supporting Chatflow, Workflow, deep thinking visualization, chart rendering, and more to help developers quickly deploy AI application interfaces.
TutorialsDeep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
Tech FrontiersDeep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
Product ReviewsIn-depth comparison of Cursor vs Claude Code, Windsurf, Trae, and other AI coding tools across Agent modes, terminal tools, browser integration, parallel processing, and context management.
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.
Deep DivesDeep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.