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141236 articles · Page 137 of 7062
IT Services Circle
IT Services Circle
Jun 9, 2026 · Artificial Intelligence

Boost Your Productivity 10× with Claude Code Slash Commands – Complete Guide

This tutorial walks through Claude Code’s built‑in slash commands, explaining each command’s purpose, when to use it, and providing concrete examples and demo prompts so developers can manage sessions, control context, run background tasks, and streamline AI‑assisted coding efficiently.

AI programmingClaude CodeContext Compression
0 likes · 20 min read
Boost Your Productivity 10× with Claude Code Slash Commands – Complete Guide
Golang Shines
Golang Shines
Jun 9, 2026 · Artificial Intelligence

Essential AI Agent Design Patterns and Frameworks Every Ops Engineer Should Know

The article explains seven AI agent design patterns—workflow, routing, parallel, loop, aggregation, network, and hierarchy—illustrates their use with concrete examples and code, compares agent frameworks such as AutoGPT, Dify, AutoGen, CrewAI and LangGraph, and shows why multi‑agent architectures outperform traditional workflows in complex operational tasks.

AI AgentDesign PatternsLLM
0 likes · 12 min read
Essential AI Agent Design Patterns and Frameworks Every Ops Engineer Should Know
Qunar Tech Salon
Qunar Tech Salon
Jun 9, 2026 · Operations

Mastering Elasticsearch Shard Management: From Fundamentals to 100k‑Shard Scale

This article explains Elasticsearch shard fundamentals, primary and replica roles, allocation rules, recovery and rebalance mechanisms, tuning parameters, best‑practice sizing, and presents real‑world production cases—including a 100,000‑shard cluster—along with concrete API commands for effective shard operations.

Cluster OperationsElasticsearchPerformance Tuning
0 likes · 28 min read
Mastering Elasticsearch Shard Management: From Fundamentals to 100k‑Shard Scale
Java Architect Handbook
Java Architect Handbook
Jun 9, 2026 · Backend Development

What’s the Dubbo Service Call Process? A 10‑Step Deep Dive

The article breaks down a complete Dubbo RPC invocation into ten precise steps—five on the consumer side and five on the provider side—explaining each core component such as Proxy, Filter, Cluster, LoadBalance, Protocol, and Transport, and addresses common interview follow‑up questions about clustering, load balancing, and sync vs async calls.

DubboJavaRPC
0 likes · 13 min read
What’s the Dubbo Service Call Process? A 10‑Step Deep Dive
Machine Heart
Machine Heart
Jun 9, 2026 · Artificial Intelligence

How PSI Lab’s Three Award‑Winning Papers Define a Systematic Humanoid Robot Learning Framework

The PSI Lab at USC, led by Wang Yue, secured three CVPR 2026 awards—Psi‑0, PhysWorld and Humanoid Everyday—each tackling a distinct stage of humanoid robot learning: large‑scale human video pre‑training, embodiment‑aligned fine‑tuning, and physics‑aware world modeling, together forming a coherent data‑model‑prediction pipeline.

Embodied AIFoundation ModelsHumanoid Robotics
0 likes · 14 min read
How PSI Lab’s Three Award‑Winning Papers Define a Systematic Humanoid Robot Learning Framework
Machine Heart
Machine Heart
Jun 9, 2026 · Artificial Intelligence

Why Standard Vision‑Language Models + Scale Data Beat Specialized 3D Vision Designs (VLM³)

Meta’s VLM³ demonstrates that a plain vision‑language model, when trained on large‑scale data with simple camera‑focal‑length and pixel‑space normalization, matches or surpasses expert 3D vision models across monocular depth estimation, object‑level understanding, pixel‑matching and camera‑pose tasks, eliminating the need for task‑specific architectures, loss functions, data augmentations or regression formulations.

3D VisionDepth EstimationMeta
0 likes · 6 min read
Why Standard Vision‑Language Models + Scale Data Beat Specialized 3D Vision Designs (VLM³)
DataFunTalk
DataFunTalk
Jun 9, 2026 · Artificial Intelligence

How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes why current AI agents often act beyond business rules, proposes an ontology‑driven semantic foundation called Harness Engineering, and details three technical pillars—architectural constraints, context engineering, and feedback loops—illustrated with the Knora implementation and real‑world use cases.

AI agentsKnoraKnowledge Graph
0 likes · 20 min read
How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering
DataFunTalk
DataFunTalk
Jun 9, 2026 · Artificial Intelligence

Anthropic’s Internal Claude Code Skills: 9 Types, Key Practices, and Writing Tips

Anthropic reveals how its teams use Claude Code Skills, classifying them into nine functional categories, emphasizing verification and focus, and sharing concrete guidelines for structuring SKILL.md, progressive disclosure, memory, scripts, hooks, distribution, composition, and usage measurement.

AI AutomationClaude CodeSkills
0 likes · 15 min read
Anthropic’s Internal Claude Code Skills: 9 Types, Key Practices, and Writing Tips
Architect Chen
Architect Chen
Jun 9, 2026 · Big Data

How Kafka Prevents Duplicate Consumption: Three Main Solutions

The article explains why Kafka does not guarantee exactly‑once delivery and presents three practical approaches—business‑level idempotence, manual offset management, and Kafka’s transaction/EOS features—to reliably avoid duplicate message processing.

Exactly-onceIdempotenceKafka
0 likes · 4 min read
How Kafka Prevents Duplicate Consumption: Three Main Solutions
Xiaomi Tech
Xiaomi Tech
Jun 9, 2026 · Artificial Intelligence

What 1000 tokens/s Really Means: Inside Xiaomi MiMo’s UltraSpeed Breakthrough

The article explains how Xiaomi’s MiMo‑V2.5‑Pro‑UltraSpeed mode achieves a record‑breaking 1000 tokens per second inference speed, why such ultra‑fast performance matters for real‑time AI applications, and the FP4 quantization, DFlash decoding and TileRT inference technologies that make it possible without sacrificing model quality.

DFlashFP4InferenceSpeed
0 likes · 10 min read
What 1000 tokens/s Really Means: Inside Xiaomi MiMo’s UltraSpeed Breakthrough