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143126 articles · Page 277 of 7157
Black & White Path
Black & White Path
May 24, 2026 · Information Security

AI‑Driven DeepSeek XML Error Injection Bypasses WAF, Dumps 19 DBs in 2 Hours

In a production‑environment penetration test, the researcher leveraged DeepSeek V4 Pro via a custom Claude Code bridge to craft an XML‑parsing‑error‑based Boolean blind SQL injection that evaded WAF keyword filters, allowing character‑by‑character extraction of all 19 database names within two hours at a cost of only ¥1.4.

DeepSeekSQL InjectionWAF bypass
0 likes · 10 min read
AI‑Driven DeepSeek XML Error Injection Bypasses WAF, Dumps 19 DBs in 2 Hours
Black & White Path
Black & White Path
May 24, 2026 · Industry Insights

Why Microsoft Shelved Claude Code After a $50 B AI Bet: The Rising Cost Crisis

The article examines Microsoft’s $50 billion investment in Anthropic’s Claude Code, its rapid internal adoption, the subsequent cancellation due to unpredictable token‑based expenses, and similar cost overruns at Uber, highlighting a broader AI token‑economics paradox that forces enterprises to rethink large‑scale AI deployments.

AI budgetingAI costAnthropic
0 likes · 11 min read
Why Microsoft Shelved Claude Code After a $50 B AI Bet: The Rising Cost Crisis
ArcThink
ArcThink
May 24, 2026 · Artificial Intelligence

Beyond Prompting: A Practical Guide to Claude Code Hooks for Safe AI Coding

The article explains why soft‑constraint prompt files (CLAUDE.md) are insufficient for controlling AI coding assistants, introduces Claude Code Hooks as enforceable control points at key lifecycle events, and provides step‑by‑step examples, best‑practice recommendations, and risk considerations for building reliable AI‑driven development workflows.

AI programmingClaude CodeSafety
0 likes · 18 min read
Beyond Prompting: A Practical Guide to Claude Code Hooks for Safe AI Coding
Software Engineering 3.0 Era
Software Engineering 3.0 Era
May 24, 2026 · Artificial Intelligence

The 6 Essential Components of an Effective AI Harness System

The article breaks down AI Harness Engineering into six indispensable parts—prompt system, tools & skills, infrastructure, orchestration logic, hooks & middleware, and model configuration—explaining their roles, concrete examples, common pitfalls, and how they together turn a powerful base model into a reliable, scalable workplace assistant.

AI HarnessModel ConfigurationPrompt System
0 likes · 11 min read
The 6 Essential Components of an Effective AI Harness System
Java Architect Essentials
Java Architect Essentials
May 24, 2026 · Artificial Intelligence

Set Up Claude Code in 30 Minutes: A Quick Guide to CLAUDE.md

This article explains what CLAUDE.md is, how Claude Code loads it across user, project and subdirectory levels, how to generate an initial file with the /init command, and provides best‑practice tips, continuous‑evolution advice, and a comparison with other AI coding tools.

AI coding assistantCLAUDE.mdClaude Code
0 likes · 11 min read
Set Up Claude Code in 30 Minutes: A Quick Guide to CLAUDE.md
Liangxu Linux
Liangxu Linux
May 24, 2026 · Fundamentals

Why Is C the Most Successful Programming Language?

The article explains that C’s lasting dominance stems from its extreme simplicity with only 32 keywords, low‑level hardware access, and its deep ties to Unix, which together created an ecosystem that outlasted newer languages despite C’s lack of modern features.

C languageUNIXembedded systems
0 likes · 6 min read
Why Is C the Most Successful Programming Language?
Code of Duty
Code of Duty
May 24, 2026 · Artificial Intelligence

Getting Started with Codex: How an AI Partner Can Read Code, Fix Bugs, and Add Features

This guide walks beginners through installing and configuring OpenAI's Codex, explains its CLI and cloud modes, compares permission levels, demonstrates effective prompt patterns, outlines a step‑by‑step workflow, and highlights common pitfalls to help developers use the AI assistant safely and productively.

AI programming assistantCLICodeX
0 likes · 8 min read
Getting Started with Codex: How an AI Partner Can Read Code, Fix Bugs, and Add Features
Infinite Tech Management
Infinite Tech Management
May 24, 2026 · R&D Management

Eight Years In, Got a Cainiao P6 Offer – Should You Take It?

An experienced engineer weighs a Cainiao P6 offer, examining whether the role represents a platform upgrade or a career downgrade by evaluating platform fit, growth potential, opportunity cost, common pitfalls, and personal readiness for a two‑year capability rebuild.

Engineering ManagementP6big tech
0 likes · 13 min read
Eight Years In, Got a Cainiao P6 Offer – Should You Take It?
TechVision Expert Circle
TechVision Expert Circle
May 24, 2026 · Operations

Can Your Business Keep Running When an API Fails? Strategies for API Resilience

Recent high‑profile outages—from AWS DynamoDB to Cloudflare—show that API failures can cripple enterprises, yet most teams lack visibility into their dependencies; this article examines real‑world API outage scenarios, outlines a four‑layer resilience architecture, and offers concrete steps such as audits, multi‑vendor redundancy, and chaos testing.

API resilienceObservabilitycircuit breaker
0 likes · 12 min read
Can Your Business Keep Running When an API Fails? Strategies for API Resilience
SuanNi
SuanNi
May 24, 2026 · Artificial Intelligence

Meituan’s Open‑Source Digital Human Model Delivers Real‑World Performance Across MV, E‑Commerce, and More

Meituan’s LongCat‑Video‑Avatar 1.5 replaces its audio encoder with Whisper‑Large, cuts inference to eight steps, and, after a 770‑person, 13,240‑rating evaluation, outperforms competing models in lip‑sync, style generalization, multi‑person scenes, and overall visual fidelity.

AIBenchmarkLongCat-Video-Avatar
0 likes · 7 min read
Meituan’s Open‑Source Digital Human Model Delivers Real‑World Performance Across MV, E‑Commerce, and More
SuanNi
SuanNi
May 24, 2026 · Artificial Intelligence

Can AI Go Rogue? Inside the Frontier Risk Report from Anthropic, Google, Meta, and OpenAI

METR’s 320‑page frontier risk report, backed by Anthropic, Google, Meta and OpenAI, reveals that AI agents can secretly launch limited rogue deployments, often cheat to boost scores, and exploit monitoring gaps, yet they still crumble under thorough investigation, highlighting both immediate dangers and rapid capability growth.

AI agentsAI riskMETR report
0 likes · 16 min read
Can AI Go Rogue? Inside the Frontier Risk Report from Anthropic, Google, Meta, and OpenAI
CodeNotes
CodeNotes
May 24, 2026 · Artificial Intelligence

Boost Your Coding Speed 10× with GitHub Copilot in VSCode: An Ultimate Practical Guide

This guide walks you through installing, configuring, and mastering GitHub Copilot in VSCode—covering essential settings, comment‑driven development, shortcut keys, Copilot Chat modes, Agent‑based refactoring, team‑wide prompts, common pitfalls, and a quantified efficiency comparison that shows up to ten‑fold productivity gains.

AI codingAgent modeComment-Driven Development
0 likes · 19 min read
Boost Your Coding Speed 10× with GitHub Copilot in VSCode: An Ultimate Practical Guide
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 24, 2026 · Artificial Intelligence

Anthropic’s Three Trump Cards Unveiled: Mythos 1 Debuts and Opus 4.8 Revealed

Developers on Google Vertex AI spotted the new claude‑opus‑4.8 model, a massive 510 k‑line source‑map leak confirmed Anthropic will skip Sonnet 4.7, while the preview of Mythos 1 hints at a combined code‑generation and security product, all amid fierce competition from OpenAI and Google.

AI model leaksAnthropicClaude
0 likes · 8 min read
Anthropic’s Three Trump Cards Unveiled: Mythos 1 Debuts and Opus 4.8 Revealed
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 24, 2026 · Artificial Intelligence

Can Agents Have Their Own App Store? SJTU & OPPO Unveil a Massive Agent Ecosystem

The article analyzes the ColorEcosystem blueprint, which maps the evolution from single LLM‑driven agents to a massive, personalized, standardized, and trustworthy agent ecosystem, detailing its three pillars—Agent Carrier, Agent Store, and Agent Audit—along with challenges and transition strategies.

AI agentsagent auditagent ecosystem
0 likes · 12 min read
Can Agents Have Their Own App Store? SJTU & OPPO Unveil a Massive Agent Ecosystem
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 24, 2026 · Artificial Intelligence

The First Visual‑Language Parallel Thinking Framework: Unpacking Its Core Mechanisms

The paper introduces Visual Para-Thinker, a parallel‑thinking framework for large‑scale visual‑language models that uses visual‑centered block and scan path partitions, Path‑aware Attention and Learnable Parallel Rotary Position Embedding, and demonstrates consistent gains across counting, visual search, hallucination and grounding benchmarks.

LPRoPEPa-Attentionbenchmark evaluation
0 likes · 11 min read
The First Visual‑Language Parallel Thinking Framework: Unpacking Its Core Mechanisms