#ASO optimization
2184 related articles
Industry Insights·2 min
Claude Opus 4.7 Released: 20% Coding Performance Boost, Same Price, Widening Gap with Chinese Models
Anthropic releases Claude Opus 4.7 with ~20% coding Agent improvement at unchanged pricing. Compared to GPT, Gemini, and Chinese models like GLM, Opus 4.7 leads decisively in coding.
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Product Reviews·2 min
DeepSeek V4 Deep Dive: Three Major Innovations — Hybrid Attention, Manifold-Constrained Hyperconnections, and MOM Optimizer Fully Explained
Deep dive into DeepSeek V4's three core innovations: Hybrid Attention for million-token context, Manifold-Constrained Hyperconnections, and MOM Optimizer. Pro model rivals Claude Opus 4.6 at 1/7 the cost.
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Tutorials·2 min
Guide to Building a DeepSeek V4 + Claude Code Hybrid Programming Workflow
Learn how to combine DeepSeek V4 with Claude Code to build a cost-effective AI programming workflow. Covers setup, task layering, and real demos—cutting AI coding costs by 76%+.
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Tech Frontiers·2 min
Cursor Tutorial: AI-Powered Development of a Xiaohongshu-Style Mini Program
A detailed Cursor AI programming tutorial featuring a Xiaohongshu-style WeChat mini program project, covering requirements analysis to full implementation with Claude 3.7.
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Tech Frontiers·2 min
Mercury 2: How Diffusion Architecture Achieves 1000 Tokens Per Second Inference Speed
Inception Labs releases Mercury 2, a diffusion-based language model achieving 1000+ tokens/sec with strong reasoning, challenging autoregressive architectures.
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Tech Frontiers·2 min
AI Weekly: GPT-6 Codenamed Spud Revealed, Claude Conway Agent, DeepSeek V4 Shifts to Huawei Chips
This week in AI: OpenAI's next-gen base model Spud (GPT-6) targets Spring 2026, Anthropic builds persistent agent Conway, Cursor 3 rebuilds the IDE for agents, DeepSeek V4 runs natively on Huawei chips, and Qwen 3.6 and Gemma 4 lead open-source.
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Tech Frontiers·2 min
Must-Know AI Skills for Software Testing Interviews in 2026: Four Core Competencies & Top Interview Questions Explained
In 2026, AI skills are a hard requirement for software testing roles. Learn the four core competencies enterprises demand, top interview questions with answer frameworks, and a complete learning path.
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Tech Frontiers·1 min
Pi AutoResearch: AI Runs Experiments Automatically, No More Manual Trial-and-Error for Performance Optimization
Pi AutoResearch is a coding plugin based on Karpathy's Auto Research concept that auto-generates optimization plans, modifies code, runs tests, and logs results for fully automated performance tuning.
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Tech Frontiers·3 min
AI-Powered Load Testing in Practice: Completing 30 Days of Performance Testing in 1 Day
Learn how to combine Heiyu Loader and AI coding agents to automate the full performance testing pipeline — from test cases to reports — in 1 day instead of 30.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Expert Opinions·1 min
Replit CEO Interview: AI Agent Capability Boundaries, Long-Horizon Reasoning Breakthroughs, and the AGI Dilemma
Replit CEO Amjad Masad on AI Agent long-horizon reasoning breakthroughs from 2 to 200 minutes, natural language programming, and why current AI utility may be AGI's biggest obstacle.
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Product Reviews·2 min
Building a Replit Alternative Called Jerry with AI — Without Writing a Single Line of Code
A developer built Jerry, an iPhone Replit alternative, without writing a single line of code — using OpenAI Codex, Claude Code SDK, and Vibe Code CI in just 2-3 hours.
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Product Reviews·3 min
Trae AI for STM32 Development: LED Blink Compiles First Try with Zero Bugs
Hands-on test using Trae AI for STM32 MCU development: from CubeMX project setup to LED blink, code compiles first try with zero errors. Full workflow and capability analysis.
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Product Reviews·1 min
Trae vs Qoder vs CodeBuddy: In-Depth Comparison of China's Top AI Coding Tools in 2025
In-depth comparison of ByteDance's Trae, Alibaba's Qoder, and Tencent's CodeBuddy—covering core capabilities, use cases, and target users with detailed analysis to help you pick the best AI coding assistant.
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Tutorials·2 min
Trae IDE + Image-Color AI Programming in Practice: Complete Workflow for Automated Image Finding and Clicking
Complete walkthrough of Trae IDE agent configuration and image-color automation plugin development, demonstrating AI-written image finding, ORB algorithm switching, and auto-clicking features.
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Tutorials·2 min
EasyClick Multi-IDE Collaborative Programming in Practice: Three Approaches to Double Your Development Efficiency
Three multi-IDE collaboration strategies for EasyClick development: UI/script separation, plugin modules, and modular splitting. Combine Trae, Lingma, Cursor to break single-IDE limitations.
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Tutorials·2 min
Getting Started with Qwen3-0.6B Fine-Tuning: Core Concepts of Large Language Models and Fine-Tuning Methodology Explained
Starting from the three core characteristics of LLMs, this article systematically covers foundational knowledge needed for Qwen3-0.6B fine-tuning, including model comparisons, fine-tuning value analysis, and the complete learning path.
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Tutorials·2 min
Claude Code Skill Creator in Practice: Build Automated Testing Skills in 4 Steps
A detailed guide to Claude Code Skill Creator's complete workflow: from writing requirements and generating skills to natural language iteration and old skill cleanup for test automation.
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Tutorials·2 min
Superpowers Writing Plans in Practice: A Good Plan Cuts Token Usage in Half
How to use the Superpowers Writing Plans skill correctly—identify AI blind spots, supply API docs, and use tiered models to cut Token costs in half from the planning stage.
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Product Reviews·2 min
Hands-On Test: Kimi Agent Building Websites — 3 Scenarios Reveal OK Computer's True Capabilities
Hands-on review of Kimi's OK Computer Agent across 3 scenarios: data reports, interactive pages, and AI-generated art sites. A realistic look at its strengths and limits.
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