#SDK
614 related articles
·3 min
Firestore Enterprise Edition Query Engine: A Deep Dive into Full-Text Search, Subqueries, and Pipeline Operations
Deep dive into Firestore Enterprise Edition's new query engine covering full-text search, subquery Joins, and pipeline operations with practical recipe app examples.
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·3 min
Hands-On Tutorial: Integrating Google Maps Grounding with Firebase AI Logic
Learn how to integrate Google Maps Grounding with Firebase AI Logic in three steps. Combine Gemini with map data to build smart location-aware AI apps.
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·3 min
Forward Deployed Engineer (FDE): Breaking Down the Hot New Role AI Giants Are Fighting Over
Forward Deployed Engineers (FDEs) are the hottest new role at Google, OpenAI, and Anthropic. Learn what FDEs do, why demand is surging, and what it means for AI careers.
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·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
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·3 min
5 Ways to Deploy LLMs Locally: From Getting Started to Production
A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.
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·3 min
Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development
Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.
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·2 min
Claude Code Chinese Practical Handbook: A Complete Beginner's Guide for Users in China
A detailed look at the Claude Code Chinese handbook on Feishu, covering setup, domestic LLM integration, commands, and templates for users in China.
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·3 min
Gemma 4 Open-Source Model Local Deployment Guide: Ollama Installation & Mobile Setup
Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.
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·3 min
Headroom: The Open-Source Compression Tool That Cuts AI Agent Token Costs by 10x
Headroom is an open-source token compression tool by a Netflix engineer that achieves 60%-95% token savings for AI coding tools through intelligent category-based compression.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·3 min
Claude Code Local Deployment: A Practical Guide to Connecting Local LLMs
Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.
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·4 min
A Beginner's Guide to Deep Agents: The Complete Evolution from Basic Agents to Deep Agents
A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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·3 min
Deep Dive into LangChain's Social Media Agent Open-Source Project: Architecture, Features, and Practical Value
In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.
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·3 min
Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices
Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
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·3 min
Android Skills Explained: An Open-Standard Instruction Set System for AI
Deep dive into Google's Android Skills open standard: how this AI instruction set uses structured Markdown files to solve LLM training data lag, covering XML-to-Compose migration, Navigation 3, and custom authoring best practices.
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·3 min
Deep Dive into Google I/O 2025's Three Major Android Developer Productivity Updates
Deep dive into Google I/O 2025's three major Android productivity announcements: Android CLI stable release, Android Skills expansion, and Android Bench model evaluations for the Agentic Development era.
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·2 min
Integrating AI Agents into Project Management Tools: A Practical Upgrade from Chat Assistant to Task Execution
A developer upgraded their project management tool's AI from a simple chatbot to an intelligent Agent capable of data queries, document generation, and automated task execution using Function Calling.
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·1 min
WWDC26 Developer Conference: Apple's AI Development Frameworks and Comprehensive Apple Intelligence Upgrades Explained
In-depth analysis of WWDC26's three core updates: platform design refinements, enhanced Apple Intelligence, and new AI development frameworks for developers.
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·1 min
Andrew Ng Partners with Anthropic to Launch Agent Skills Course: Build Once, Deploy Anywhere
Andrew Ng and Anthropic launch the Agent Skills course, teaching how to package domain expertise into reusable Skill modules for build-once, deploy-anywhere AI Agents.
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