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143038 articles · Page 254 of 7152
java1234
java1234
May 28, 2026 · Artificial Intelligence

Cut Claude Code Token Costs by 80% with OpenWolf

OpenWolf, an open-source middleware for Claude Code, can slash token consumption by up to 80% by using a project map, learning memory, token ledger, bug memory, and six lifecycle hooks, all without changing your existing Claude CLI workflow.

AI toolsClaude CodeNode.js
0 likes · 8 min read
Cut Claude Code Token Costs by 80% with OpenWolf
Java Companion
Java Companion
May 28, 2026 · Artificial Intelligence

A 7.7k‑Star GitHub Project Turns Your Terminal into an AI‑Powered IDE—Have You Tried It?

After disappointing experiences with many AI coding assistants, the author evaluates the open‑source oh‑my‑pi (omp), highlighting its hash‑based edit anchors, deep DAP/LLDB debugging, sub‑agent task splitting, LSP‑driven refactoring, built‑in web search, and a detailed comparison with Claude Code and Cursor, while also covering installation, real‑world use cases, and current limitations.

AI coding assistantDAPLSP
0 likes · 11 min read
A 7.7k‑Star GitHub Project Turns Your Terminal into an AI‑Powered IDE—Have You Tried It?
Architect's Guide
Architect's Guide
May 28, 2026 · Artificial Intelligence

How Claude Code Prompt Caching Cuts AI Costs by Up to 90% and Boosts Efficiency

Prompt Caching in Anthropic's Claude Code replaces repeated processing of identical prompt prefixes with a prefix‑hash cache, slashing input‑token costs by up to 90%, reducing first‑token latency by 79%, and improving throughput, while preserving model output exactly as if no cache were used.

AI EngineeringCache InvalidationCache Metrics
0 likes · 30 min read
How Claude Code Prompt Caching Cuts AI Costs by Up to 90% and Boosts Efficiency
Linux Tech Enthusiast
Linux Tech Enthusiast
May 28, 2026 · Fundamentals

28 Diagrams That Explain TCP Fundamentals in One Go

This article walks through the OSI model from the physical layer up to the application layer, explains how IP addresses and MAC addresses work, details TCP and UDP transport protocols, and covers reliable transmission mechanisms, congestion control, connection management, and common pitfalls such as packet loss, framing, and security attacks.

Transport Layercongestion controlnetworking
0 likes · 28 min read
28 Diagrams That Explain TCP Fundamentals in One Go
大转转FE
大转转FE
May 28, 2026 · Artificial Intelligence

How MCP Gives AI a Universal USB‑C Port to Bridge the Last Mile of Test Automation

The article explains how the Model Context Protocol (MCP) lets AI tools like Cursor read PRDs, generate validated Midscene YAML test cases, and upload them to the HAL‑9000 platform through a unified three‑primitive architecture, choosing stdio or HTTP transport, while ensuring security and scalability.

AI IntegrationCursorHAL-9000
0 likes · 17 min read
How MCP Gives AI a Universal USB‑C Port to Bridge the Last Mile of Test Automation
Java Tech Workshop
Java Tech Workshop
May 28, 2026 · Backend Development

SpringBoot Service Registration & Discovery: Comparing Nacos, Consul, and Eureka

This article explains the core principles of service registration and discovery in SpringBoot microservices, analyzes CAP trade‑offs, compares Eureka, Consul, and Nacos in terms of features, health checks, and fault tolerance, and provides complete code samples and practical recommendations for production use.

CAP theoremConsulEureka
0 likes · 21 min read
SpringBoot Service Registration & Discovery: Comparing Nacos, Consul, and Eureka
ShiZhen AI
ShiZhen AI
May 28, 2026 · Artificial Intelligence

Beyond Prompt Tuning: How OpenAI Built a Production-Ready Tax Agent

OpenAI’s recent tax‑agent case shows that reliable AI agents require a closed‑loop workflow—trace logging, expert feedback, systematic evaluation, and Codex‑driven code improvements—rather than mere prompt tweaking, achieving up to 97 % draft accuracy across 7,000 filings.

AI agentCodeXOpenAI
0 likes · 6 min read
Beyond Prompt Tuning: How OpenAI Built a Production-Ready Tax Agent
Weekly Large Model Application
Weekly Large Model Application
May 28, 2026 · Artificial Intelligence

Open-Source ASR Optimization: Solving Misrecognition of Proper Nouns and Real-Time Lag

This guide analyzes common deployment problems of open‑source speech‑recognition models—misrecognizing proper nouns and lagging behind spoken input—and presents a decision‑tree‑based, five‑layer optimization framework that balances accuracy and speed through concrete techniques such as hot‑word bias, model fine‑tuning, INT8 quantization, and appropriate runtimes.

ASRAccuracyOpen Source
0 likes · 10 min read
Open-Source ASR Optimization: Solving Misrecognition of Proper Nouns and Real-Time Lag
Black & White Path
Black & White Path
May 28, 2026 · Information Security

SwordfishSuite: A Beginner‑Friendly Burp Alternative with Extensible Plugins

SwordfishSuite is a lightweight, open‑source web security testing platform inspired by Burp, offering an intuitive GUI, smart HTTPS proxy, a Python‑based plugin ecosystem, experimental app traffic analysis, and easy installation via GitHub releases, making it ideal for newcomers and seasoned testers alike.

App traffic analysisBurp alternativeHTTPS interception
0 likes · 6 min read
SwordfishSuite: A Beginner‑Friendly Burp Alternative with Extensible Plugins
Black & White Path
Black & White Path
May 28, 2026 · Information Security

12‑Byte Syscall in Browser Sandbox Grants SYSTEM on Windows (CVE‑2026‑40369 PoC)

The article details CVE‑2026‑40369, a Windows kernel flaw in ExpGetProcessInformation where a zero‑length buffer bypasses ProbeForWrite, allowing a browser sandbox process to write arbitrary kernel memory with a 12‑byte syscall, leading to a deterministic, fully‑reliable privilege‑escalation chain that grants SYSTEM without race conditions, and discusses detection and mitigation.

CVE-2026-40369ExploitNtQuerySystemInformation
0 likes · 11 min read
12‑Byte Syscall in Browser Sandbox Grants SYSTEM on Windows (CVE‑2026‑40369 PoC)
Black & White Path
Black & White Path
May 28, 2026 · Information Security

Inside the Arrest of the 23‑Year‑Old Operator Behind the World’s Largest DDoS Botnet

The article details the capture of 23‑year‑old Jacob Butler, known as “Dort,” who ran the KimWolf IoT botnet that infected nearly two million devices, launched over 30,000 DDoS attacks with peaks near 30 Tbps, and examines the botnet’s tactics, the legal fallout, and defensive lessons for the IoT ecosystem.

Cybercrime-as-a-ServiceDDoSIoT botnet
0 likes · 10 min read
Inside the Arrest of the 23‑Year‑Old Operator Behind the World’s Largest DDoS Botnet
Geek Labs
Geek Labs
May 28, 2026 · Artificial Intelligence

What Your AI Coding Agent Is Doing Behind the Scenes: 4 Visual Tools to See Its Status Instantly

The article reviews four open‑source projects—Clawd on Desk, Codex on Desk, Star Office UI, and Clawmetry—that visualize the real‑time status of AI coding agents, comparing their features, supported agents, technology stacks, visual styles, and use cases to help developers choose the most suitable tool.

AI AgentsDesktop PetElectron
0 likes · 7 min read
What Your AI Coding Agent Is Doing Behind the Scenes: 4 Visual Tools to See Its Status Instantly
Coder Trainee
Coder Trainee
May 28, 2026 · Information Security

Deep Dive into JWT with Spring Security OAuth2: Token Enhancement Techniques

This tutorial explains the JWT structure, shows how to add custom claims such as user ID, department and roles, implements token blacklisting for logout, handles refresh token logic, and provides step‑by‑step code and testing instructions for a Spring Security OAuth2 authentication system.

JWTRedisRefresh Token
0 likes · 16 min read
Deep Dive into JWT with Spring Security OAuth2: Token Enhancement Techniques
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 28, 2026 · Artificial Intelligence

Synthesizing Agentic Factual SFT/Mid‑train Data: Query Filtering, Trajectory Generation, and Tool Usage

The article outlines a practical pipeline for creating agentic factual SFT and mid‑train datasets, covering how to define training goals, filter and classify queries, label processing tags, format trajectory samples, differentiate SFT from mid‑train data, and avoid common pitfalls when generating evidence‑driven AI training data.

SFTagentic AIdata synthesis
0 likes · 10 min read
Synthesizing Agentic Factual SFT/Mid‑train Data: Query Filtering, Trajectory Generation, and Tool Usage
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 28, 2026 · Artificial Intelligence

Open‑Source 35B Intern‑S2‑Preview Rivals Trillion‑Parameter Models on Scientific Benchmarks

The open‑source 35‑billion‑parameter Intern‑S2‑Preview model achieves scientific‑task performance comparable to trillion‑parameter models, thanks to full‑link “general‑specialized” training, reinforced‑learning scaling, and hardware‑aware optimizations, and it outperforms leading closed‑source models on benchmarks such as MolecularIQ and crystal‑structure generation.

BenchmarkInternLMLarge Language Model
0 likes · 11 min read
Open‑Source 35B Intern‑S2‑Preview Rivals Trillion‑Parameter Models on Scientific Benchmarks