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143493 articles · Page 406 of 7175
DataFunSummit
DataFunSummit
Apr 29, 2026 · Industry Insights

Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases

Palantir leverages its Ontology‑driven data integration and AI platforms—Gotham, Foundry, and AIP—to transform fragmented data into actionable intelligence, delivering decision‑making advantages in government, aerospace, food, and energy sectors, while shifting from custom‑heavy services to an open, platform‑based ecosystem.

AI AgentsAI platformData Integration
0 likes · 11 min read
Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases
Woodpecker Software Testing
Woodpecker Software Testing
Apr 29, 2026 · Artificial Intelligence

Testing AI Agents: How Test Teams Must Transform

With autonomous AI agents now deployed in 63% of leading tech firms, traditional deterministic testing fails, prompting test teams to shift from case writers to architects of behavioral contracts, observability stacks, early design involvement, and trustworthiness assessment across accuracy, robustness, explainability, fairness and ethics.

AI AgentsLLMObservability
0 likes · 7 min read
Testing AI Agents: How Test Teams Must Transform
Woodpecker Software Testing
Woodpecker Software Testing
Apr 29, 2026 · Artificial Intelligence

Adversarial Testing Performance Optimization: A Practical Guide for Test Experts

As AI deployments accelerate, the article explains why adversarial testing is inherently slow, identifies three coupling bottlenecks, and presents a four‑stage, data‑driven optimization framework that boosts throughput by up to 3.2× while preserving robustness, backed by real‑world financial‑AI case studies.

AI robustnessPerformance optimizationadversarial cache
0 likes · 7 min read
Adversarial Testing Performance Optimization: A Practical Guide for Test Experts
Alibaba Cloud Native
Alibaba Cloud Native
Apr 29, 2026 · Artificial Intelligence

Evolving Agent Development: Simplifying Multi‑Source Real‑Time Context from an Environment‑Engineering Perspective

The article analyzes why AI coding agents thrive in software engineering while agents in other industries lag, identifies context‑supply as the core bottleneck, and proposes a five‑dimensional framework—information completeness, sensory management, knowledge reconciliation, change governance, and accessibility—illustrated with EventHouse’s polling, event subscription, and mount‑query approaches, unified catalog, knowledge wiki, and CI/CD‑style release to make enterprise agents simple, reliable, and production‑ready.

AI AgentsCI/CD for AICloud Native
0 likes · 15 min read
Evolving Agent Development: Simplifying Multi‑Source Real‑Time Context from an Environment‑Engineering Perspective
DeWu Technology
DeWu Technology
Apr 29, 2026 · Information Security

How a General AI Agent Powers Scalable Gateway Route Security Audits

The article presents a practical AI‑driven security audit system for gateway routes that uses a layered “general Agent + business Skill” design, combines batch AI filtering with human verification, achieves full‑coverage, minute‑level detection, and reduces token costs by over 95 % through multiple optimizations.

AI AgentAPI SecurityMCP Tool
0 likes · 15 min read
How a General AI Agent Powers Scalable Gateway Route Security Audits
Machine Heart
Machine Heart
Apr 29, 2026 · Artificial Intelligence

Doc‑V*: Reading Only 5 Pages Beats RAG on 80‑Page Docs – 10 Key Insights

Doc‑V* introduces a dynamic, thumbnail‑driven approach that lets a model decide which pages to read, achieving a 49.7% improvement over RAG variants on multi‑page document QA benchmarks without larger models or longer context windows, and demonstrates how strategic evidence acquisition outperforms naïve full‑document reading.

AIRAGdocument understanding
0 likes · 10 min read
Doc‑V*: Reading Only 5 Pages Beats RAG on 80‑Page Docs – 10 Key Insights
ITPUB
ITPUB
Apr 29, 2026 · Backend Development

How to Rescue a System When QPS Jumps 100× in 10 Minutes

When a service experiences a sudden 100‑fold QPS surge, this guide walks through immediate emergency measures such as rate limiting, circuit breaking, and traffic shedding, followed by systematic analysis of traffic origins, robust architectural redesign including horizontal scaling, micro‑service decomposition, sharding, pooling, caching, and asynchronous processing, and finally stress testing to ensure resilience.

CachingCircuit Breakinghorizontal scaling
0 likes · 13 min read
How to Rescue a System When QPS Jumps 100× in 10 Minutes
Tech Freedom Circle
Tech Freedom Circle
Apr 29, 2026 · Artificial Intelligence

Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists

The article provides a detailed, source‑code‑backed walkthrough of Harness’s three‑level memory system—user context, historical layering, and a structured fact list—explaining each layer’s purpose, update frequency, lifecycle, and how the surrounding middleware, queue, updater, storage, and injection modules cooperate to deliver real‑time, persistent, and searchable memory for AI agents.

AI AgentDeerFlowHarness
0 likes · 27 min read
Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists
IT Services Circle
IT Services Circle
Apr 29, 2026 · Backend Development

10 Common MyBatis-Plus Pitfalls and How to Avoid Them

This article analyzes ten frequent pitfalls when using MyBatis-Plus—such as incorrect pagination totals, pagination plugin misconfiguration, logical delete failures, auto‑fill issues, optimistic‑lock mismatches, null handling in QueryWrapper, batch‑insert performance, enum mapping errors, wrapper condition overrides, and type‑handler problems—provides root‑cause explanations, concrete code examples, and practical solutions to help developers write more robust and efficient Java backend code.

Batch InsertEnum MappingJava
0 likes · 19 min read
10 Common MyBatis-Plus Pitfalls and How to Avoid Them
IT Services Circle
IT Services Circle
Apr 29, 2026 · Mobile Development

8 GB Android Phones Finally Get Relief as the OS Undergoes a Major Memory Overhaul

Android’s long‑standing lax memory management is being overhauled: Google’s Android 17 Beta 4 introduces a device‑level memory cap, smart notifications, and scenario‑specific rules, while China’s ITGSA alliance issues a “fair run memory” mandate, promising to curb bloated apps, reduce heating and lag, and give 8 GB phones a chance to run smoothly again.

AndroidAndroid 17Fair Run Memory
0 likes · 12 min read
8 GB Android Phones Finally Get Relief as the OS Undergoes a Major Memory Overhaul
Java Tech Workshop
Java Tech Workshop
Apr 29, 2026 · Backend Development

How to Diagnose and Scale SpringBoot Message Backlog with Monitoring

The article explains why message backlog occurs in SpringBoot applications, outlines systematic troubleshooting steps, proposes comprehensive monitoring across producer, broker, and consumer layers, and presents scaling tactics such as instance expansion, concurrency tuning, batch consumption, and long‑term capacity planning.

BacklogKafkaMessage Queue
0 likes · 16 min read
How to Diagnose and Scale SpringBoot Message Backlog with Monitoring
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
Apr 29, 2026 · Backend Development

How Sentrux Turns AI‑Generated Code into Controlled Architecture Evolution

Sentrux, a Rust‑based real‑time architecture sensor, visualizes a project’s dependency graph as an interactive treemap, scores code health on five metrics, and integrates with AI coding agents via MCP to provide millisecond‑level feedback, enabling continuous quality gating and preventing architectural decay caused by AI‑driven code generation.

AI Coding AgentsMCP integrationQuality Gate
0 likes · 9 min read
How Sentrux Turns AI‑Generated Code into Controlled Architecture Evolution
Data Party THU
Data Party THU
Apr 29, 2026 · Artificial Intelligence

How Far Can Unsupervised RL for Large Models Go? A Systematic Answer from a Tsinghua Team

The article analyzes the scaling limits of unsupervised reinforcement learning for large language models, revealing that intrinsic‑reward methods initially boost performance but inevitably collapse, proposes a unified theory and a model‑collapse metric to predict trainability, and argues that external‑reward approaches are the scalable path forward.

AI researchLarge Language ModelsRL scaling
0 likes · 11 min read
How Far Can Unsupervised RL for Large Models Go? A Systematic Answer from a Tsinghua Team
Data Party THU
Data Party THU
Apr 29, 2026 · Artificial Intelligence

Claude Opus 4.7 System Prompt Leak: Decoding Its 10 Core Design Decisions

The article dissects the leaked Claude Opus 4.7 system prompt, revealing ten intertwined design decisions—from treating psychological reconstruction as a danger signal to dynamic safety‑policy upgrades—that together shape the model’s self‑restraint, tool‑use, memory handling, and risk‑aware behavior.

AI safetyClaudeLanguage Model
0 likes · 8 min read
Claude Opus 4.7 System Prompt Leak: Decoding Its 10 Core Design Decisions
Su San Talks Tech
Su San Talks Tech
Apr 29, 2026 · Artificial Intelligence

Why VSCode + Claude Code Is a Game‑Changer for AI‑Powered Coding

This guide walks through installing, configuring, and using the Claude Code extension in VSCode, highlighting its context‑aware features, multiple editing modes, effort levels, command shortcuts, and how it outperforms the older IDEA plugin.

AI coding assistantClaude CodeConfiguration
0 likes · 6 min read
Why VSCode + Claude Code Is a Game‑Changer for AI‑Powered Coding