This article walks through installing the Serein tool, configuring FOFA API keys, collecting target URLs, running nday vulnerability checks, adding custom POCs, and filtering results with domain and weight lookups to automate large‑scale SRC exploitation.
The article examines the KNX building‑automation protocol, explains its telegram structure, and demonstrates how a poorly configured KNX network—especially via IP routers—can be exploited from a single smart switch to launch DoS, replay, and memory‑read/write attacks that compromise entire skyscraper systems.
Standard benchmarks often suffer from data leakage, mismatched real‑world scenarios, and limited metrics, so this guide proposes a practical, self‑crafted evaluation framework with diverse question types, clear scoring dimensions, and a step‑by‑step SOP to reliably assess LLM code‑generation abilities.
The article analyses how AI‑driven coding assistants are accelerating development while traditional testing lags behind, argues that test engineers must shift from ad‑hoc scripts to engineered, prompt‑driven test frameworks, and reviews the "Trae AI" book that demonstrates concrete AI‑assisted testing techniques and productivity gains.
The article explains how to eliminate boilerplate when using Spring Boot 3.5.0 RestClient by introducing two custom annotations, @ClientEnhance and @ClientConfig, together with an auto‑configuration class that injects logging interceptors and configurable timeouts into selected RestClient.Builder beans, enabling a non‑intrusive, declarative enhancement.
The article examines why AI‑generated front‑end code often looks generic, introduces Google Labs' DESIGN.md plain‑text design spec, explains its YAML‑plus‑Markdown structure and nine required modules, showcases tooling, three practical adoption paths, extraction method trade‑offs, CI integration, and common pitfalls, enabling developers to produce professional, brand‑consistent UI with agents like Cursor, Claude Code, and Copilot.
The article systematically breaks down pagination challenges in billion‑row sharded databases, compares common sharding strategies and middleware architectures, analyzes the performance drawbacks of a naïve global‑query approach, and presents several practical alternatives—including keyset pagination, two‑stage queries, index‑table tricks, and external search or NewSQL solutions—while highlighting their trade‑offs for interview discussions.
The article analyzes why traditional LIMIT/OFFSET pagination fails when data is split across multiple databases, presents a global query approach with its trade‑offs, and proposes an optimized "no‑skip" method plus practical tips using ShardingSphere and Elasticsearch.
The article explains why modern Rust and Go compilers create massive on‑disk caches—Rust's per‑project target directory and Go's global module and build caches—illustrates the underlying mechanisms with concrete examples, and offers practical commands and tooling to clean or share those caches, reducing disk consumption.
Teams building LLM‑powered products often hit a wall where 30‑40% of responses are wrong and the model never learns from mistakes; the article explains how modern fine‑tuning using GRPO‑based reinforcement learning and the open‑source ART framework, together with the RULER reward‑free evaluator, lets small open‑source models surpass larger ones in cost, latency, and accuracy.
The article analyzes how OpenAI and Anthropic are moving from anonymous AI services to mandatory facial and document verification, detailing the timeline, technical signals, developer requirements, and the broader industry push to curb abuse and ensure agent accountability.
Claude Opus 4.8’s new Fast mode, now available in JetBrains IDEs, speeds up the entire Java‑Agent development loop by reducing the waiting periods between analysis, modification, testing and verification, making high‑frequency iterative tasks far more efficient.
The article analyzes DeepSeek’s new peak‑valley pricing, quantifies how time‑zone differences cause U.S. developers to pay far less than Chinese developers for the same API usage, and discusses the broader implications of such structural cost disparities.
Since 2024, a growing number of enterprises—especially small‑to‑medium businesses and some large firms—are re‑evaluating the cost‑driven VMware licensing model and migrating to the open‑source Proxmox VE platform, which bundles KVM, LXC, Ceph, backup and clustering into a free, easy‑to‑manage solution that fits modern AI and Kubernetes workloads.
The article walks through a real e‑commerce order service where afternoon spikes caused response times to jump to 2‑3 seconds, Full GC to run every few minutes, and Metaspace to hit 99.9%, then demonstrates step‑by‑step analysis using monitoring, GC logs, jstat, jmap, and heap dumps, fixes a custom class‑loader leak, adjusts JVM flags, and achieves sub‑200 ms latency with no Full GC.
The article presents a structured set of 27 Claude Code techniques—organized into three phases of context setup, process control, and automation—that transform the tool from simple code generation into a reliable, verifiable component of engineering workflows, emphasizing isolation, verification, and evidence collection.
The article analyzes why large asynchronous group discussions waste up to 72 hours without a decision, introduces a three‑step “divergence extraction + delegated decision + execution verification” protocol that cuts convergence time to 12 hours (‑80 %), reduces manual effort by 75 % and can be deployed in ten minutes using built‑in AI and approval tools.
This guide walks through the fundamentals of KVM virtualization, compares full and para‑virtualization, details hardware and software requirements, and provides step‑by‑step commands for preparing the host, configuring storage, networking, libvirt, creating and managing VMs, implementing best practices, troubleshooting, monitoring, and backup for a production‑ready private cloud.
Semgrep’s benchmark shows open‑source GLM‑5.2 matching Claude’s performance while costing only $0.17 per vulnerability, and Nvidia’s NVFP4 quantization halves the model’s memory footprint with virtually unchanged accuracy, making local deployment on 8‑GPU systems far more affordable.
The author refactors the z‑skills suite by separating video link discovery (z‑web‑pack) from actual downloading (z‑video‑downloader), explains why the split solves performance and reliability issues, details four concrete code and documentation changes, and shows a simple usage pattern for the updated skills.
