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GitHub Daily · July 24: Agentic Tools …
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.

Spring AI 1.0 is here — Java developers can now build AI apps without switching to Python. This guide covers LLM integration, RAG, intelligent customer service, and Agent patterns for enterprise deployment.

Vibe Coding is the new AI-era programming paradigm. Describe what you want in plain language; let AI generate the code. Learn the 3-stage path: mindset, quality, and real projects.

A step-by-step guide to locally deploying the Dify open-source AI platform using BT Panel on a VMware virtual machine, covering Ubuntu setup, Docker config, and image pull troubleshooting—beginner-friendly.

A step-by-step guide to locally deploying the open-source Dify AI platform using the BT Panel on a VMware virtual machine—covering Ubuntu setup, Docker config, and image pull troubleshooting.

A complete Stone+ (StonePlus) setup guide covering environment scan, API config, proxy detection, model validation, and end-to-end verification. Get your AI coding environment running in 1 minute.

Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.

Learn the core concepts behind FastAPI: frontend-backend separation, API interface design, and RESTful specification. Master resource-oriented design before writing your first line of code.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.

A beginner's guide to Dify: build RAG knowledge bases visually with zero coding. Covers agents, workflows, and why private deployment makes Dify ideal for enterprise AI.

A complete Python learning path for beginners covering three modules: Fundamentals, Intermediate, and Hands-On Practice — including web scraping, office automation, and data analysis.

A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.

Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.

A beginner-friendly guide clarifying AI, machine learning, deep learning, and LLMs — tracing the evolution from Deep Blue to AlphaGo, ChatGPT, and DeepSeek.

Build an AI game assistant from scratch with no coding experience! This hands-on guide walks you through Dify + RAG — from knowledge base setup to agent creation and tuning.

Deep dive into langgraph-agent-stack: per-run dollar budget control, canary traffic routing, Mock testing mode, and 800+ test cases to safely deploy AI Agents from demo to production.

A self-taught developer with 2 years of Python experience implements Transformer from scratch using plain PyTorch, following the original 'Attention Is All You Need' paper with a two-phase approach: inference first, then full training.

An electronics engineering student who hates hardware wants to pivot to backend dev, facing a dilemma between a "guaranteed" degree and a third-tier BCA. We break down the degree vs. skills tradeoff, how to explain gaps, and self-study paths.

Overwhelmed by ML math courses? This guide maps out linear algebra, calculus, and probability into a practical learning path — from core courses to reference books.