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A deep dive into building and self-hosting a code review AI Agent from scratch, covering architecture design, context management, model selection, and noise control.

Deep dive into pgvector 0.8 iterative index scans that solve the over-filtering problem in hybrid vector search with WHERE conditions. Includes SQL examples, strict_order vs relaxed_order comparison, and max_scan_tuples tuning tips.

How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

Are Cursor referral codes and discount codes still valid? This guide analyzes Cursor's pricing model, promotional policy trends, and practical savings strategies including annual billing, education discounts, and competitor comparisons.

Step-by-step guide to deploying Dify AI platform locally with Docker. Covers Linux, Windows, macOS setup, docker compose launch, and first-time initialization in under 30 minutes.

A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.

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 deep dive into engineering AI applications: from a simple chat page to a multi-layer Agent platform, covering RAG knowledge bases, Workflow scheduling, multi-model management, and run tracing.

A systematic overview of the AI Agent tech stack: RAG retrieval, Agent planning, MCP protocol, AI Gateway, and observability — helping developers build production-grade AI systems.

Java developers can build AI apps too! Learn LangChain4j fundamentals including RAG, Agents, Function Calling, and hands-on projects — no Python required.

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.
jcode Deep Dive: Why Rust Is the Ideal…
jcode is an open-source Coding Agent framework built in Rust, gaining nearly 200 GitHub Stars in a day. Explore its architecture, Rust advantages, and application potential.

A deep dive into two enterprise RAG knowledge isolation strategies: physical isolation vs. adaptive soft boundaries — covering metadata tagging, dynamic user-profile filtering, hybrid retrieval architecture, and data quality best practices.
AIRI: The Open-Source Self-Hosted AI C…
AIRI (moeru-ai/airi) is an open-source, self-hosted AI companion with real-time voice chat, Minecraft/Factorio gameplay, and Web/macOS/Windows support. 42K+ GitHub stars.

Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.

How to build a true AI second brain for ADHD users: LangGraph, n8n, RAG, vector databases, and layered architecture for a proactive personal assistant.

How can Java developers break into AI? This guide covers the AI application engineer career path, RAG knowledge base fundamentals, vector database retrieval, and enterprise-grade RAG challenges.