#AI software testing
2120 related articles
Tech Frontiers·3 min
OpenAI's First AI Hardware Revealed: Can Jony Ive's Screenless Device Disrupt the Smartphone?
OpenAI and legendary Apple designer Jony Ive are building a screenless AI hardware device with only a mic and camera, targeting 100 million units by 2027.
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Tech Frontiers·3 min
AI Weekly: Claude Code Review, Gemma 4 Leak & DeepSeek V4 Delayed
Weekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
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Product Reviews·3 min
Five AI Models Tested for Game Development: Which Is Best for Zero-Experience Coding?
Testing DeepSeek R1, Claude Sonnet 3.7, ChatGPT o3 Mini, Grok 3, and Qwen for zero-experience Snake game development with custom ball-bouncing mechanics — a full comparison of AI coding ability.
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Tutorials·2 min
Anthropic Engineer Shares Four Golden Rules for Vibe Coding
Anthropic's coding agent lead shares four core principles for Vibe Coding in production: be AI's product manager, use it at leaf nodes, focus on verifiability, and embrace exponential growth.
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Tech Frontiers·3 min
DeepSeek TUI: A Terminal AI Coding Assistant Built in Rust with 2.3K GitHub Stars
DeepSeek TUI is an open-source terminal AI coding tool written in Rust, optimized for DeepSeek API, dubbed Claude Code for DeepSeek. Plus: AI joint ventures, Sierra's $950M raise, and AWS Agent infrastructure updates.
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Product Reviews·4 min
Comprehensive Review of 10 Mainstream AI Coding Tools: How to Choose from Cursor to Claude Code
In-depth comparison of 10 AI coding tools including GitHub Copilot, Cursor, Claude Code, and Windsurf, analyzed across features, target users, and pricing to help developers choose the right AI assistant.
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Tutorials·3 min
Vibe Engineering in Practice: AI Evolves from Code Generator to Programming Teammate
A deep dive into Vibe Engineering principles: context engineering, sub-agent collaboration, autonomous testing loops, plus OpenAI's case study of a 12-hour Kotlin-to-Rust rewrite.
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Tutorials·3 min
Building an AI Behavior Tree from Scratch: Python Window Capture Module Development Log
Detailed development log of a window capture module for an AI behavior tree game automation project, covering Python environment setup, OOP refactoring, and modular architecture design.
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Industry Insights·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
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Product Reviews·3 min
Cursor + Claude 3.7 Sonnet Coding Test: Four Side-by-Side Comparisons Reveal Stunning Improvements
Hands-on comparison of Claude 3.7 Sonnet vs 3.5 in Cursor across four front-end tasks, revealing dramatic improvements in requirement understanding, UI aesthetics, and multimodal recognition.
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Tech Frontiers·2 min
Opus 4.8 Lands on Cosmos: Breaking Down Its Long-Running Autonomous Task Execution
Claude Opus 4.8 launches on Cosmos with multi-hour autonomous task execution, end-to-end ticket-to-PR workflows, and deep Linear/Sentry integration, marking a new era for AI coding assistants.
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Tech Frontiers·2 min
Google Gemini Drops Update: New Interface Design and Spark Intelligent Agent Assistant Explained
Google Gemini Drops brings a complete interface redesign and Gemini Spark 24/7 intelligent agent assistant. Deep analysis of the upgraded experience, agentic AI capabilities, and competition with ChatGPT and Copilot.
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Tutorials·3 min
35 Lines of Prompts Let Codex Auto-Optimize Your Workflow — Reposted by OpenAI's President
An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.
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Product Reviews·3 min
Codex Computer Use Hands-On Review: Setup Guide, How It Works, and Security Risks Explained
Hands-on review of OpenAI Codex Computer Use: step-by-step setup guide, WeChat demo, screenshot-based core principles, and analysis of three major security risks including privacy leakage and current limitations.
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Product Reviews·2 min
Claude Opus 4.8 Real-World Testing: What $50 in Tokens Actually Gets You
In-depth testing of Claude Opus 4.8 across game dev, UI reproduction, 3D scenes, and tool building—$50 in Tokens reveals its true capabilities and limits.
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Tutorials·3 min
Codex Chat History Recovery Guide: Migration Methods After API and Subscription Switching
Learn why Codex chat history disappears after switching between official subscriptions and third-party APIs, with step-by-step migration instructions for modifying session files and SQLite database.
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Tutorials·3 min
Claude Code Hidden Configurations Fully Explained: From Chat Assistant to Semi-Automated Programming Workflow
Explore Claude Code's source code to unlock hidden configurations like Hooks, Agents, Permissions, and Memories. Transform your AI assistant into a customizable semi-automated development workflow.
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Tech Frontiers·2 min
OpenAI Codex Now Fully Supports Windows Development Workflows: A Deep Dive into Computer Use Capabilities
OpenAI Codex adds Windows Computer Use capabilities, enabling direct testing, debugging, and code review in Windows environments. ChatGPT mobile also supports remote Windows machine connections.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tech Frontiers·2 min
SGLang v0.5.12.post1 Released: DeepSeek V4 Stability Fixes and Blackwell Adaptation
SGLang v0.5.12.post1 stability patch details: 12 critical fixes covering DeepSeek V4 garbled text and crashes, NIXL PD disaggregated inference logic, Blackwell B300 adaptation, and cold start optimization.
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