#AI development frameworks
10 related articles
·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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·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
WWDC 2026 Preview: Major Siri Overhaul and Comprehensive Apple Intelligence Upgrade
Deep analysis of WWDC 2026 Apple AI strategy: standalone Siri app, iOS 27 as an AI-native OS, and Apple Intelligence 2.0 rebuilt from the ground up.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·2 min
Getting Started with Spring AI Alibaba: Best Practices for Java Developers to Integrate LLMs
Deep dive into Spring AI Alibaba's positioning and value, using a JDBC analogy to help Java developers understand how to integrate LLM capabilities into existing microservices architecture.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials
Practical Guide to Building Multi-Agen…
·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials·4 min
Coze Programming Skill Invocation Tutorial: Generate Interactive Learning Webpages in Three Steps
Step-by-step tutorial on using Coze programming platform's skill invocation to auto-generate interactive learning webpages in 3 steps, with Pythagorean theorem and Newton's First Law examples.
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