413 related articles

Hands-on test of LibTV's AI Agent: from script and storyboarding to video compositing, one person completes an animated short in a day. Full breakdown of the Skill library, node workflow, and Story Board features.

A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.

A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.

Deep breakdown of 4 core AI Agent engineer competencies: business decomposition, multi-Agent architecture, quantitative evaluation, and engineering delivery—bridging the gap from Demo to production.

Explore how ASD-STE100 Simplified Technical English from aviation can be applied to LLM prompt engineering. STE's disambiguation principles—controlled vocabulary, short sentences, active voice—can improve LLM output accuracy and consistency.

Exploring how users evolve trust in Gemini and generative AI—from verifying everything to selective delegation, analyzing trust patterns, key factors, and the trust drift trap.

API Mock is fast but misses bugs; Sandbox is realistic but costly. This article analyzes their core differences and provides a layered testing strategy for building reliable Agent test systems.

An AI practitioner tests Opus 5: powerful capabilities but painfully slow inference. Deep analysis of how LLM competition is shifting from intelligence to inference speed.

GitHub had over 14,000 internal repos with less than half having clear ownership. In 45 days, they verified ownership for every active repo through activity filtering, validation, and archiving.

Not every data science problem needs ML. This guide offers a decision framework across four dimensions — rule complexity, data quality, prediction needs, and interpretability — to avoid over-engineering.

How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.

In-depth hands-on review of GLM 5.2: a 753B-parameter open-source model with a 1M-token context, rivaling Opus 4.8 at about one-tenth the price. Full setup guide for Claude Code and Cursor.

Based on the ProductPai discovery community's weekly rankings, we round up the top five new AI products—from the family AI picture book platform Tonghui and AI imaging studio Zopia to the layout tool Kami and macOS app Frosted.

OpenAI's GPT-5.6 requires case-by-case government approval, and Claude Mythos was pulled after breaching classified systems. A full breakdown of frontier AI hitting the national security red line.

OpenAI released GPT-5.6 but it requires case-by-case government approval, while Claude Mythos was pulled after breaching classified systems. A full breakdown of AI capabilities hitting national security red lines.

A roundup of the top five AI products from ProductPai's weekly rankings: from the family AI picture-book platform TongHui and AI imaging studio Zopia, to the document layout tool Kami and macOS efficiency app Frosted.

The hardest part of AI short dramas isn't generating a pretty shot, but keeping characters, scenes, and style consistent. This article uses a real American campus drama test to detail how to build reusable workflows with Skills, plus three pitfall-avoidance tips.

Claude Code was revealed to steganographically mark system prompts under specific conditions, triggering a developer trust crisis. This article analyzes the steganography, Anthropic's tightening China access, and how AI coding tools became a core enterprise security issue.

How do complete beginners get started with Claude Code? This guide covers VS Code setup, two ways to connect an LLM in China, four core usage modes, and building your first practical tool without writing a single line of code.

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.