@TFGames · Post #1829 · 01/04/2024, 09:49 PM
#RAZER#CHROMA#RGB https://testflight.apple.com/join/tx8uS8WA
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Source channel @githubtrending · Post #15524 · Feb 25
#typescript#agent#agent_development#ai_agent#claude#claude_code#educational#llm#python#teaching#tutorial Claude Code is an AI agent framework that uses a simple loop: send messages to Claude, check if it needs tools, execute those tools, and repeat. The benefit is that you can build powerful autonomous agents by layering one feature at a time—from basic tool use to multi-agent teams—without rewriting the core loop. This modular approach lets you start simple with bash commands and scale to complex workflows with planning, skill loading, background tasks, and team coordination, making it easier to automate development work and delegate entire projects to AI agents. https://github.com/shareAI-lab/learn-claude-code
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@TFGames · Post #1829 · 01/04/2024, 09:49 PM
#RAZER#CHROMA#RGB https://testflight.apple.com/join/tx8uS8WA
@githubtrending · Post #14800 · 06/07/2025, 11:30 AM
#java#anthropic#chatgpt#chroma#embeddings#gemini#gpt#huggingface#java#langchain#llama#milvus#ollama#onnx#openai#openai_api#pgvector#pinecone#vector_database#weaviate LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications. https://github.com/langchain4j/langchain4j