6912 related articles

A must-read for test engineers: use Cursor Skill to auto-parse PRDs and generate XMind mind map test cases with one click. Supports functional, API, and performance testing—no coding needed.

A developer shares a test case automation solution built on Claude Code + Skills: encapsulating requirement splitting, test point extraction, and case generation into independent Skills. The full workflow takes under 10 minutes.

Learn how Claude Code and its Skill mechanism can automatically convert a requirements document into production-ready test cases in under 10 minutes with a 3-stage pipeline.
zapret: A Deep Dive into the 30K-Star …
A deep dive into zapret-discord-youtube, the 30K+ star GitHub DPI bypass tool. Learn how packet fragmentation, TTL manipulation, and SNI evasion restore access to Discord and YouTube — and what risks to consider.

Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.
Protocol Buffers Deep Dive: Principles…
A deep dive into Google's open-source Protocol Buffers (Protobuf): binary encoding, schema definitions, gRPC integration, and real-world microservice use cases.

OpenAI's adjusted operating margin hits -122%, Anthropic's profitability remains murky, and SpaceX claims a $22.7T AI market. A deep dive into three AI giants' real financials and the capital game behind the IPO race.
AirLLM: How a 4GB GPU Can Run a 70B Mo…
AirLLM is an open-source project that uses layer-by-layer inference to run 70B LLMs on a single 4GB GPU. Learn how it works, its tradeoffs, and ideal use cases.

Full breakdown of a real AI testing pipeline: API collection, doc enrichment, AI test case generation, Agent-driven execution, and test reports — with Skills, RAG, and Harness engineering.
Financing the AI Boom: How Tech Giants…
Tech giants are shifting AI investment financing from free cash flow to large-scale debt. This deep dive explores the structural logic, systemic risks, and macro implications for bond markets.

Apple hosted a college AI showcase in Guangzhou where students used Mac and AI tools to build a smart anti-sedentary chair, AR robotic arm, dental simulator, and more. A deep dive into Vibe Coding and Apple's AI hardware strategy.

A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.

Test engineers: use the AI Skill 'Doc-based Test Case Generator' to auto-generate structured test cases from PRDs or screenshots, covering boundary values, negative scenarios, and more.

With Claude Code and a Skills framework, go from requirements doc to test cases in under 10 minutes. A 3-stage automated pipeline: breakdown, extraction, and generation.

How do AI agents predict the World Cup winner? This article uses a real conversation to explore AI's use of real-time search, odds analysis, and probabilistic reasoning — and what it reveals about generative AI design.

How Claude Code + Skills automates test case generation in 3 phases: requirements breakdown, test point extraction, and case generation — 10x faster than manual writing.

A real homelab case: a UGREEN NAS used UPnP to automatically expose SSH port 22 to the internet, triggering brute-force attacks. Full breakdown of the incident, UPnP risks, and NAS security tips.
Tokyo Credit Card Outage: A Wake-Up Ca…
A credit processor outage in Tokyo forced bars and restaurants back to cash. This article examines single points of failure in cashless societies, payment chain fragility, and why cash remains an irreplaceable offline backup.
YouTrackDB Deep Dive: Core Features an…
YouTrackDB is a general-purpose object-oriented graph database combining OOP paradigms with graph data models, supporting classes, inheritance, and polymorphism for knowledge graphs, social networks, and recommendation systems.

LLMs answer questions; Agents actually get things done. This article breaks down the differences between LLMs, Chatbots, and Agents, explains the perceive–think–act architecture, and maps real-world use cases across education, finance, and healthcare.