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JD Cloud Developers
JD Cloud Developers
Jul 8, 2025 · Artificial Intelligence

How AI Can Turn a Code Maze into a Knowledge Hub for New Developers

This article follows a new developer named Li Ming as he confronts undocumented code, hidden business rules, and fragmented knowledge, then demonstrates how leveraging large‑language models to index, associate, and retrieve code, requirements, and operational data can create an intelligent knowledge base that streamlines onboarding, reduces errors, and enhances collaboration across development, testing, and product teams.

AIRAGsoftware development
0 likes · 19 min read
How AI Can Turn a Code Maze into a Knowledge Hub for New Developers
Ray's Galactic Tech
Ray's Galactic Tech
Jul 17, 2026 · Artificial Intelligence

High‑Concurrency RAG: When to Use Classic, Graph or Agentic Architecture

The article analyzes why production‑grade RAG systems fail under load and explains how Classic, Graph, and Agentic RAG each address specific problem stages, offering concrete engineering guidelines for query normalization, caching, versioned knowledge, graph construction, stateful agents, and governance to achieve stable high‑throughput performance.

Agentic RAGKnowledge GovernanceRAG
0 likes · 31 min read
High‑Concurrency RAG: When to Use Classic, Graph or Agentic Architecture
Frontend AI Walk
Frontend AI Walk
Jun 11, 2026 · Artificial Intelligence

How SkillOpt‑Sleep Gives Your AI Coding Assistant a Memory Palace

SkillOpt‑Sleep, the deployment companion for Microsoft’s open‑source SkillOpt, reviews offline Claude or Codex sessions, extracts coding habits and project conventions, validates them through a gate, and writes learned rules into protected blocks, enabling the assistant to remember and improve over time.

AI coding assistantClaude CodeCodex
0 likes · 26 min read
How SkillOpt‑Sleep Gives Your AI Coding Assistant a Memory Palace
James' Growth Diary
James' Growth Diary
Apr 12, 2026 · Artificial Intelligence

Build a Complete Private Knowledge Base with RAG: A Hands‑On Guide

This article walks through a complete, production‑ready Retrieval‑Augmented Generation pipeline that lets AI answer a company’s private documents, covering chunking strategies, embedding model choices, vector‑database selection, retrieval methods, full LangChain chain assembly, and common pitfalls to avoid.

EmbeddingLangChainPromptEngineering
0 likes · 18 min read
Build a Complete Private Knowledge Base with RAG: A Hands‑On Guide
James' Growth Diary
James' Growth Diary
May 25, 2026 · Artificial Intelligence

Practical Agent Performance Tuning: Slash Latency 75%, Cut Token Costs 71%, Boost Throughput 217%

The article walks through a systematic performance map of LangChain agents and demonstrates concrete latency, token‑usage, and concurrency optimizations—streaming responses, Redis caching, model routing, prompt trimming, context summarisation, dynamic tool selection, parallel graph nodes and batch processing—showing real‑world gains of up to 75% lower latency, 71% fewer tokens and a 217% throughput increase.

Agent OptimizationLangChainLangGraph
0 likes · 30 min read
Practical Agent Performance Tuning: Slash Latency 75%, Cut Token Costs 71%, Boost Throughput 217%
Su San Talks Tech
Su San Talks Tech
Sep 21, 2026 · Artificial Intelligence

AI Agent Interview Deep Dive: 10 Critical Questions from Architecture to Evaluation

This comprehensive guide covers 10 essential AI Agent interview topics, including Agent vs LLM differences, Workflow vs Agent selection, reasoning paradigms, Function Calling, MCP, error handling, memory management, context optimization, RAG pipelines, and evaluation metrics, with code examples and architectural diagrams.

AI AgentAgent EvaluationFunction Calling
0 likes · 43 min read
AI Agent Interview Deep Dive: 10 Critical Questions from Architecture to Evaluation
Java Web Project
Java Web Project
Mar 11, 2025 · Artificial Intelligence

Claude 3.7 Sonnet: How the Hybrid Reasoning Model Redefines AI‑Assisted Coding

Claude 3.7 Sonnet, billed as the world’s first hybrid‑reasoning model, dramatically boosts code generation, supports fast‑response and extended‑thinking modes, and demonstrates real‑world UI reconstruction, game creation, and physics simulation, while its companion Claude Code tool automates complex engineering tasks and large‑codebase integration.

AI code generationClaude 3.7Claude Code
0 likes · 6 min read
Claude 3.7 Sonnet: How the Hybrid Reasoning Model Redefines AI‑Assisted Coding
James' Growth Diary
James' Growth Diary
Apr 26, 2026 · Databases

Vector Database Fundamentals: Embedding, Similarity Search, and Index Structures Explained in One Go

This article walks through the complete workflow of turning split text into high‑dimensional vectors, choosing the right embedding model, selecting an appropriate similarity metric, comparing index structures such as Flat, IVF, HNSW and PQ, and finally picking a vector database and integrating it with LangChain.js for production‑grade RAG pipelines.

LangChainRAGembeddings
0 likes · 25 min read
Vector Database Fundamentals: Embedding, Similarity Search, and Index Structures Explained in One Go