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TutorialsA systematic breakdown of 15 key steps for building AI Agents with Vibe Coding, covering environment setup, product docs, frontend UI, backend APIs, databases, and deployment.
TutorialsA systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
TutorialsA deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
TutorialsLearn how to integrate Godot MCP with OpenAI Codex to control the game engine via natural language, with a full walkthrough from setup to auto-generating an endless runner scene.
TutorialsDeep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
TutorialsA detailed guide to Coze platform's core features, including the differences between AI agents and AI applications, plus a beginner's learning path for building AI agents with no-code tools.
TutorialsA detailed guide to Coze AI development platform's core features including agent building, workflow orchestration, knowledge base setup, and plugins — build custom AI apps with zero code.
Tech FrontiersGoogle introduces Gemini AI assistant in hiring to assess AI proficiency, OpenAI launches GPT-5.5 Cyber for critical infrastructure defense, Anthropic nears trillion-dollar valuation, Mozilla fixes 271 Firefox bugs with AI in two months.
Tech FrontiersMusk announces xAI-SpaceX merger as SpaceX AI, OpenAI launches GPT-5.5-Cyber security model, Google releases Gemini 3.1 Flash, and Airbnb reveals AI writes 60% of new code.
TutorialsLearn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
Tech FrontiersAnthropic open-sources a financial Agent suite with 10 specialized Agents covering Pitchbook creation, earnings analysis, and valuation modeling, integrating 11 data sources via MCP protocol under Apache 2.0 license.
Deep DivesA systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.
TutorialsDeep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
Tech FrontiersAbleton MCP is an open-source project that lets AI Agents control Ableton Live via MCP protocol, enabling natural language MIDI generation, intelligent sound search, and automated mixing.
Product ReviewsMemPalace is an open-source local memory tool that builds long-term memory for AI Agents via verbatim storage, semantic retrieval, and MCP protocol, solving the pain of starting from scratch every session.
TutorialsSpring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
Industry InsightsHow can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
Deep DivesDeep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
TutorialsA systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
TutorialsDeep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.