#Anthropic
774 related articles
Product Reviews·3 min
Zed Editor Officially Lands on Windows: A Free, Open-Source AI IDE Alternative
Zed Editor's Windows version is officially released. This free, open-source AI IDE built with Rust features extreme performance, built-in Cloud Code, Gemini CLI, and Codex agents, a native debugger, and real-time collaboration.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Product Reviews·2 min
Devin Cloud Deep Dive: A Cloud-Based AI Development Platform That Replaces All IDEs with a Single Web Page
Deep dive into Devin Cloud, a cloud-based AI development platform featuring device-agnostic development, cloud VM desktops, GitHub integration, MCP tools, and how it fundamentally changes traditional IDE workflows.
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Industry Insights·3 min
Gemini Membership Gray Market Scams Exposed: The Real Risks Behind 'Free Access' Tutorials
Exposing Gemini membership gray market scams that exploit Google I/O hype, analyzing account security and legal risks, and providing legitimate ways to access Gemini premium services.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Guide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture, the three core primitives (Tools, Resources, Prompts), and how developers can quickly integrate with the MCP ecosystem.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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Tutorials·2 min
MCP Service Hybrid Deployment in Practice: Integrating Tools, Resources, and Prompts into a Single Service
Learn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Tutorials·2 min
Anthropic's Official MCP Tutorial: From Protocol Principles to Production Deployment
Deep dive into Anthropic's open-source MCP protocol, covering client-server architecture, tool calling mechanisms, MCP server development, and remote deployment for standardized AI integration.
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Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
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Product Reviews·2 min
Gained 25K Stars in One Week: This Chinese Open-Source AI Coding Tool Takes on Claude Code
A Chinese open-source AI coding tool gained 25K GitHub Stars in one week, challenging Claude Code with autonomous closed-loop programming, parallel tasks, checkpoint resume, and intelligent model routing.
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Product Reviews·2 min
Deep Dive into Codex App: Key Differences Compared to Claude Code and Cursor
Deep comparison of Codex APP, Claude Code, and Cursor covering pricing, stability, and strengths. Discover Codex APP's unique advantages in frontend development and UI interactions.
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Industry Insights·2 min
Bun Bids Farewell to Zig: AI Completes 960K-Line Rust Rewrite in 6 Days — Full Breakdown
Bun v1.3.14 may be the last Zig-era release. AI Agents completed a 960K-line Zig-to-Rust migration in 6 days with 99.8% test pass rate. Full analysis inside.
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Industry Insights·3 min
The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave
Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.
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Product Reviews·3 min
OpenSlide: An Open-Source Framework That Lets AI Agents Write React Code to Create Presentations
OpenSlide is an Agent-native open-source slide framework that lets AI Agents write React code to generate professional presentations. Supports Claude Code, Cursor, and other coding Agents.
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Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
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