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Tech FrontiersClaude 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.
Tech FrontiersClaude 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.
Deep DivesComplete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.
TutorialsComplete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
TutorialsDeep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
Deep DivesDeep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
Industry InsightsSince 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.
TutorialsComplete guide to AI comic drama production workflow covering LLM scriptwriting, AI image generation on platforms like Jimeng, and post-production editing—a systematic methodology for creators.
Deep DivesDeep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
TutorialsSupabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
Expert OpinionsA developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
Product ReviewsAn indie developer uses the open-source Godot engine combined with AI image generation to build a farm management game, covering tech choices, AI asset workflows, and practical tips for solo devs.
TutorialsComplete UE5.7 beginner tutorial covering editor operations, project structure, AI assistant, Blueprint visual programming, and game packaging for shareable playable builds.
Deep DivesDeep dive into Claude Code's core mechanisms including tool calling, agentic search, memory systems, and MCP protocol extensions. Learn how this CLI agent tool autonomously plans and executes complex development tasks.
Deep DivesA deep dive into Claude Code's core capabilities: understanding codebases, autonomously executing commands, and searching the web. Learn key concepts like context windows and permission control.
TutorialsDetailed guide to Claude Code context window management: /compact, /clear, and /context commands with usage scenarios and optimization tips for AI coding productivity.
Why Celebrity Cheating Scandals Always…
Why do celebrity cheating scandals always go viral? From projection psychology and moral simplification to the celebrity effect, a deep analysis of the social psychology behind public outrage over infidelity.
TutorialsAnthropic engineers share how to properly use Claude Code at AI Code Summit: build composable Skills systems instead of one-off prompts. Master four core rules for skills that get smarter over time.
Product ReviewsRoundup of 6 developer tools: CodeBurn for AI coding token cost tracking, Mirage virtual file system for Agents, Boring SSH tunnel manager, PeerTrace file tree renderer, DataTab font-based data visualization, and Flu TypeScript Agent framework.
Product ReviewsHands-on review of Manus AI Agent on the DeepSeek tech stack, analyzing task execution, Chinese reasoning capabilities, strengths, limitations, and the potential of domestic LLMs in Agent applications.