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143472 articles · Page 394 of 7174
Wukong Talks Architecture
Wukong Talks Architecture
May 1, 2026 · Databases

How We Monitored and Optimized Databases During a New‑Old System Switch (Part 1)

During a high‑traffic migration where QPS peaked over 10,000, the team used DBDoctor to perform full‑stack database monitoring, pinpoint long‑running transactions and slow SQL, apply index recommendations, and achieve cost reductions of up to 246 000 times, demonstrating rapid, data‑driven performance optimization.

DBDoctorDatabase MonitoringIndex Recommendation
0 likes · 9 min read
How We Monitored and Optimized Databases During a New‑Old System Switch (Part 1)
DeepHub IMBA
DeepHub IMBA
May 1, 2026 · Artificial Intelligence

How to Build Intelligent Contextual Memory for AI Agents

The article examines why naïvely feeding all dialogue history to large language models is costly and unreliable, and it walks through rolling context windows, inverted‑index pruning, semantic vector search, and GraphRAG as complementary techniques for creating efficient, reasoning‑capable AI agent memory.

AIAgent MemoryGraphRAG
0 likes · 11 min read
How to Build Intelligent Contextual Memory for AI Agents
Java Web Project
Java Web Project
May 1, 2026 · Artificial Intelligence

How a Single Command Cuts AI Coding Token Usage from 210K to 23K

The article explains why AI coding tools waste hundreds of thousands of tokens on noisy terminal output, presents official data showing a typical two‑hour session generating 210,000 useless tokens, and demonstrates how the open‑source Rust Token Killer (RTK) filters output to save up to 80% of tokens with a single command.

AI codingCLIProductivity
0 likes · 4 min read
How a Single Command Cuts AI Coding Token Usage from 210K to 23K
Cloud Architecture
Cloud Architecture
May 1, 2026 · Backend Development

Production Nginx for 10M+ QPS: Rate Limiting, Load Balancing, WebSocket, gRPC, CDN

This guide details how to build a production‑grade Nginx edge layer capable of handling over ten million queries per second, covering traffic shaping, connection reuse, multi‑level caching, sophisticated rate‑limiting, load‑balancing algorithms, WebSocket and gRPC handling, dynamic configuration, observability, container deployment, and migration paths to API gateways or service meshes.

CachingKubernetesNginx
0 likes · 52 min read
Production Nginx for 10M+ QPS: Rate Limiting, Load Balancing, WebSocket, gRPC, CDN
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

When to Use ChatGPT vs Codex: Exploring the New Era of AI Agents

This article explains how to choose between ChatGPT, Claude, Claude Code, and Codex, detailing Codex's seven core capabilities—including local file access, persistent memory, plugins, skills, image generation, computer control, automation, and the Chronicle screen‑monitoring feature—through concrete examples and step‑by‑step walkthroughs.

AI agentsCodexOpenAI
0 likes · 14 min read
When to Use ChatGPT vs Codex: Exploring the New Era of AI Agents
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems

This article summarizes a technical ebook that analyzes the evolution of recommendation and search systems—from deep‑learning models to large‑language‑model agents—detailing multi‑agent RAG architectures, Huawei’s KAR knowledge adapters, Baidu’s generative ranking (GRAB), Elasticsearch vector search, and performance results such as a 1.5% AUC lift and GPU‑accelerated throughput gains.

ElasticsearchGenerative RankingMulti-Agent Architecture
0 likes · 6 min read
How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance

The DACon conference in Shanghai gathered over 8,000 developers, managers and experts, delivering 50 talks that explored self‑evolving AI agents, data‑centric ontology, Agent‑Ready big‑data infrastructure, AI‑AR ecosystem evolution, and the emerging challenges of Agentic data governance.

AI agentsAI+ARAgentic Data Protocol
0 likes · 11 min read
From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance
Machine Heart
Machine Heart
May 1, 2026 · Artificial Intelligence

How a 400B Mixture‑of‑Experts Model Runs on the iPhone 17 Pro

The article details the Flash‑MoE project that streams the 400 billion‑parameter Qwen3.5‑397B‑A17B mixture‑of‑experts model on an iPhone 17 Pro, achieving up to 0.6 tokens per second with a custom Metal‑GPU pipeline, zero‑Python code, and SSD‑backed weight streaming that keeps only 5.5 GB in RAM.

Flash-MoELLMMetal
0 likes · 7 min read
How a 400B Mixture‑of‑Experts Model Runs on the iPhone 17 Pro
IT Services Circle
IT Services Circle
May 1, 2026 · Artificial Intelligence

10 Essential AI Prompt Templates Every Programmer Should Use

The article presents ten practical AI prompt templates that cover the full software development workflow—from requirement clarification and code generation to testing, refactoring, debugging, performance tuning, SQL optimization, documentation, design review, and cross‑language translation—helping developers get accurate, production‑ready results from AI.

AI promptingJavaPerformance optimization
0 likes · 12 min read
10 Essential AI Prompt Templates Every Programmer Should Use
IT Services Circle
IT Services Circle
May 1, 2026 · Artificial Intelligence

GPT’s Father Sends AI Back to 1930: An AI That Writes Python Without Seeing Code

Alec Radford’s team released Talkie, a 13‑billion‑parameter LLM trained exclusively on pre‑1931 texts (2600 billion tokens), which surprisingly can generate correct Python programs via few‑shot learning, demonstrating genuine reasoning rather than mere memorisation, and the article details its experiments, data‑quality challenges, comparative performance, and ambitious scaling roadmap.

OCR data qualityfew‑shot programminglarge language model
0 likes · 8 min read
GPT’s Father Sends AI Back to 1930: An AI That Writes Python Without Seeing Code
Java Tech Workshop
Java Tech Workshop
May 1, 2026 · Backend Development

Exception Handling Best Practices: From try‑catch to Custom Exceptions

This article explores Java exception handling from basic try‑catch‑finally syntax, through multi‑catch and try‑with‑resources, to designing custom business exceptions, offering concrete code examples, logging tips, global handlers, and performance considerations for robust backend development.

Exception HandlingJavacustom exceptions
0 likes · 18 min read
Exception Handling Best Practices: From try‑catch to Custom Exceptions
Java Tech Enthusiast
Java Tech Enthusiast
May 1, 2026 · Artificial Intelligence

Why free-claude-code Soared to 16K+ Stars on GitHub Weekly Rankings

free-claude-code is a lightweight Python/FastAPI proxy that lets Claude Code bypass costly official APIs by routing requests to free or low‑cost LLM providers, addressing high cost, access restrictions, and model lock‑in, while offering easy setup, multi‑provider support, and advanced Discord/Telegram bot features that have earned it over 16,000 GitHub stars.

AI coding assistantClaude CodeFastAPI
0 likes · 12 min read
Why free-claude-code Soared to 16K+ Stars on GitHub Weekly Rankings
Java Tech Enthusiast
Java Tech Enthusiast
May 1, 2026 · Artificial Intelligence

DeepSeek V4 Slashes Prices by 75% – Real‑World Claude Code Demo with 4 Million Tokens

DeepSeek dramatically cut V4‑Pro and V4‑Flash pricing by 75%, offering sub‑dollar token rates that outperform competing models, and the article walks through detailed cost tables, industry price trends, hardware‑driven pricing rationale, and two hands‑on Claude Code case studies demonstrating code audit and full‑project scanning.

AI model pricingChinese AI industryClaude Code
0 likes · 12 min read
DeepSeek V4 Slashes Prices by 75% – Real‑World Claude Code Demo with 4 Million Tokens
James' Growth Diary
James' Growth Diary
May 1, 2026 · Artificial Intelligence

QueryEngine: One Instance Equals One Session – Full Breakdown of Claude Code’s Session Lifecycle

The article dissects Claude Code’s QueryEngine class, explaining how each QueryEngine instance represents a single conversation thread, detailing its configuration, state management across turns, the submitMessage workflow, SDK vs REPL modes, persistence mechanisms, and the four key engineering decisions and technical debts.

AIClaudeQueryEngine
0 likes · 14 min read
QueryEngine: One Instance Equals One Session – Full Breakdown of Claude Code’s Session Lifecycle
James' Growth Diary
James' Growth Diary
May 1, 2026 · Artificial Intelligence

10 Real-World LangGraph Production Pitfalls That Can Crash Your App

The article details ten production‑grade pitfalls encountered when using LangGraph—ranging from misusing thread IDs and unbounded state growth to uncaught tool errors, infinite loops, concurrency conflicts, subgraph field mismatches, HITL timeouts, and misconfigured LangSmith tracing—each illustrated with concrete code, root‑cause analysis, and concrete remediation steps.

AI agentsCheckpointLLM
0 likes · 14 min read
10 Real-World LangGraph Production Pitfalls That Can Crash Your App
Data Party THU
Data Party THU
May 1, 2026 · Artificial Intelligence

Scaling Large-Scale Agent Networks: A Review of Topology, Memory, and Updates

This review examines why some large‑scale multi‑agent systems remain stable while others falter, introducing a three‑dimensional taxonomy—topology, memory scope, and update behavior—to explain scalability limits and highlighting world‑model inconsistency as a deeper bottleneck than communication protocols.

Multi-Agent SystemsScalabilitydynamic updates
0 likes · 9 min read
Scaling Large-Scale Agent Networks: A Review of Topology, Memory, and Updates
Data Party THU
Data Party THU
May 1, 2026 · Artificial Intelligence

LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer

This article compares LangChain and LangGraph by implementing the same three‑stage code‑review pipeline with both frameworks, showing how LangChain offers a simple linear flow while LangGraph provides state‑machine orchestration for loops, conditional branches, and retries, and explains when each approach is preferable.

GeminiLLM workflowLangChain
0 likes · 8 min read
LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer
Old Zhang's AI Learning
Old Zhang's AI Learning
May 1, 2026 · Artificial Intelligence

NVIDIA’s Open‑Source Multimodal Nemotron 3 Nano Omni: Run Locally on Consumer GPUs (English‑Only)

NVIDIA’s Nemotron 3 Nano Omni 30B‑A3B‑Reasoning model, an open‑source multimodal LLM with 30 B parameters, 256K context and video‑audio‑image‑text capabilities, outperforms comparable models by up to 9.2× in video throughput, runs on consumer GPUs via 4‑bit GGUF quantization, but currently supports only English input.

GGUFGPUNemotron
0 likes · 17 min read
NVIDIA’s Open‑Source Multimodal Nemotron 3 Nano Omni: Run Locally on Consumer GPUs (English‑Only)