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143218 articles · Page 310 of 7161
Cloud Architecture
Cloud Architecture
May 18, 2026 · Databases

Building a High‑Concurrency, Recoverable, Scalable MySQL Backup Platform with MyDumper

The article explains why many teams only have backup files without true recovery capability and walks through designing a production‑grade MySQL backup system using MyDumper, covering consistency snapshots, parallel export, metadata, Kubernetes integration, storage, monitoring, and step‑by‑step scripts for reliable, scalable data protection.

BackupKubernetesMyDumper
0 likes · 48 min read
Building a High‑Concurrency, Recoverable, Scalable MySQL Backup Platform with MyDumper
Architect
Architect
May 18, 2026 · Artificial Intelligence

18 Essential Actions to Build a Personal Claude AI Workbench

The article explains that effective use of Claude depends on establishing a stable personal work environment rather than merely crafting prompts, and it details 18 concrete actions organized into six layers—projects, personal instructions, fact sources, workflow cards, review loops, and boundaries—to create a reusable AI workbench.

AI WorkflowAgent HarnessClaude
0 likes · 31 min read
18 Essential Actions to Build a Personal Claude AI Workbench
DeepHub IMBA
DeepHub IMBA
May 18, 2026 · Artificial Intelligence

Self‑Improving Multi‑Agent RAG System: Architecture, Evaluation, and Human‑Reviewed Prompt Loop

An end‑to‑end multi‑agent Retrieval‑Augmented Generation platform is presented, featuring compositional reasoning, systematic multi‑dimensional evaluation, and a controlled prompt‑improvement loop that automatically identifies weak prompt dimensions, proposes diffs, and requires human approval before deployment, with full observability via SSE and persisted logs.

FastAPIPrompt EngineeringRAG
0 likes · 19 min read
Self‑Improving Multi‑Agent RAG System: Architecture, Evaluation, and Human‑Reviewed Prompt Loop
Bighead's Algorithm Notes
Bighead's Algorithm Notes
May 18, 2026 · Artificial Intelligence

FineFT: Efficient Risk-Aware Reinforcement Learning for Futures Trading

FineFT introduces a three‑stage ensemble reinforcement‑learning framework that tackles high‑leverage reward volatility and missing ability‑boundary awareness in crypto futures trading by using selective TD‑error updates, VAE‑based market‑state boundary detection, and a risk‑aware routing mechanism, ultimately outperforming twelve baselines on six financial metrics while cutting risk by over 40%.

Variational Autoencoderensemble methodsfinancial RL
0 likes · 12 min read
FineFT: Efficient Risk-Aware Reinforcement Learning for Futures Trading
Xiaomi Tech
Xiaomi Tech
May 18, 2026 · Artificial Intelligence

Xiaomi’s Imaging Algorithms Win CVPR 2026 NTIRE: Super‑Resolution, Portrait Restoration, Reflection Removal Breakthroughs

Xiaomi secured three top spots at CVPR 2026 NTIRE—first in Efficient Super‑Resolution with SPANV2, first in Portrait Restoration using a dual‑stage cascade, and second in Reflection Removal via RDNet‑XL and diffusion‑model distillation—showcasing hardware‑software co‑design, ultra‑fast inference, and novel algorithmic innovations.

Efficient InferenceHardware‑software co‑designdiffusion model distillation
0 likes · 14 min read
Xiaomi’s Imaging Algorithms Win CVPR 2026 NTIRE: Super‑Resolution, Portrait Restoration, Reflection Removal Breakthroughs
Old Zhao – Management Systems Only
Old Zhao – Management Systems Only
May 18, 2026 · Operations

How I Built a Complete Supply‑Chain Visualization Dashboard in 2 Hours

The article walks through a step‑by‑step process for turning fragmented sales, procurement, production, inventory and shipping data into a single, real‑time supply‑chain dashboard using the 简道云 platform, highlighting data integration, three‑layer visual design and automated alerts that cut down firefighting and improve decision‑making.

AutomationDashboardData Integration
0 likes · 9 min read
How I Built a Complete Supply‑Chain Visualization Dashboard in 2 Hours
ByteDance SE Lab
ByteDance SE Lab
May 18, 2026 · Artificial Intelligence

How Volcano Engine and CAS Acoustic Institute Won Top Spots at the First Low‑Resource Audio Codec Challenge

Volcano Engine's audio team, together with the Chinese Academy of Sciences Acoustic Institute, secured first‑place, runner‑up, and third‑place finishes in the 2025 Low‑Resource Audio Codec Challenge at ICASSP 2026 by delivering AI‑driven codecs that balance ultra‑low bitrate, low complexity, and high audio quality for real‑time communication and streaming scenarios.

AI codecICASSPVolcano Engine
0 likes · 12 min read
How Volcano Engine and CAS Acoustic Institute Won Top Spots at the First Low‑Resource Audio Codec Challenge
Shi's AI Notebook
Shi's AI Notebook
May 18, 2026 · Artificial Intelligence

Anthropic’s Practical Approach to Context Engineering for AI Agents

The article explains how Anthropic engineers treat the limited token budget of large language models as a finite resource, detailing static configuration, runtime retrieval, and long‑task strategies such as compaction, structured notes, and sub‑agent architectures to build reliable, efficient AI agents.

AI agentsAnthropicCompaction
0 likes · 18 min read
Anthropic’s Practical Approach to Context Engineering for AI Agents
DataFunSummit
DataFunSummit
May 18, 2026 · Cloud Native

How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C

The article outlines how Tencent Cloud's TDSQL‑C tackles the four core pain points of traditional databases—elasticity, tuning difficulty, cost waste, and operational complexity—by adopting a storage‑compute‑separated, Serverless architecture, AI‑driven predictive scaling, a self‑learning optimizer, and the AI Navigator management system, delivering up to 30% performance gains and 20% cost reduction in real‑world use cases.

AI optimizerHermes AgentServerless
0 likes · 13 min read
How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C
DataFunSummit
DataFunSummit
May 18, 2026 · Artificial Intelligence

From Single‑Point Copilot to Platform‑Level Agentic: Real Challenges and Future Paths for Data Platforms

A 90‑minute live discussion examined how data platforms must evolve from simple Copilot assistants to fully agentic systems, covering architectural redesign, security guardrails, knowledge‑base integration, evaluation pitfalls, cost management, and whether the future favors a super‑agent or a multi‑agent ecosystem.

Agentic AIArchitectureCost Management
0 likes · 20 min read
From Single‑Point Copilot to Platform‑Level Agentic: Real Challenges and Future Paths for Data Platforms
DataFunSummit
DataFunSummit
May 18, 2026 · Artificial Intelligence

How Palantir’s Ontology‑Based Semantic Network Drove 85% Growth and Zero Churn

Palantir’s Q1 2026 revenue jumped 85% while many AI firms saw valuations collapse, and the company attributes its success to replacing cheap‑token LLM wrappers with a deep ontology‑driven semantic network that secures high‑risk AI deployments, creates a durable moat, and delivers unprecedented net‑retention.

AI infrastructureCompetitive landscapeEnterprise AI
0 likes · 10 min read
How Palantir’s Ontology‑Based Semantic Network Drove 85% Growth and Zero Churn
Baidu Geek Talk
Baidu Geek Talk
May 18, 2026 · R&D Management

Automating the Full Development Cycle with Claude Code’s /prd, /goal, and /after-goal

Using a real-world case, the article demonstrates how Claude Code’s three slash commands—/prd, /goal, and /after-goal—can fully automate a development workflow, turning requirement decomposition into structured PRDs, card‑based implementation, and automatic code submission, review, and closure, thereby boosting efficiency and consistency.

AI AutomationCI/CDCLI
0 likes · 14 min read
Automating the Full Development Cycle with Claude Code’s /prd, /goal, and /after-goal
Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

Can Large Models Reason Deeply with Only a Few Thinking Tokens?

The paper introduces Heima, a framework that compresses chain‑of‑thought reasoning into a small set of abstract “thinking tokens” for multimodal large models, dramatically reducing generated tokens while preserving inference capability, and provides an adaptive interpreter to reconstruct human‑readable reasoning for analysis.

Chain-of-ThoughtEfficient Inferencelatent reasoning
0 likes · 12 min read
Can Large Models Reason Deeply with Only a Few Thinking Tokens?
Ops Community
Ops Community
May 18, 2026 · Operations

Master Docker: From Basics to Advanced Core Principles Explained

This comprehensive guide walks ops engineers through Docker’s core concepts—images, containers, storage drivers, networking, security, image building, multi‑stage builds, volume management, resource limits, troubleshooting, and production deployment best practices—providing step‑by‑step commands, examples, and detailed explanations to master containerization from beginner to expert.

ContainersDevOpsDocker
0 likes · 42 min read
Master Docker: From Basics to Advanced Core Principles Explained
Java Tech Enthusiast
Java Tech Enthusiast
May 18, 2026 · R&D Management

Tech vs Management: How Programmers Should Choose Their Career Path

Programmers often wonder whether to stay on the technical track or move into management; the article explains that both routes involve hidden challenges, require influence, and the right choice depends on personal preferences for solving technical problems versus people problems and where one finds fulfillment.

careercareer choicemanagement
0 likes · 5 min read
Tech vs Management: How Programmers Should Choose Their Career Path