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Sohu Tech Products

A knowledge-sharing platform for Sohu's technology products. As a leading Chinese internet brand with media, video, search, and gaming services and over 700 million users, Sohu continuously drives tech innovation and practice. We’ll share practical insights and tech news here.

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Recent Articles

Latest from Sohu Tech Products

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Sohu Tech Products
Sohu Tech Products
May 27, 2026 · Artificial Intelligence

6 Practical Tips for Using Codex Effectively in Research Projects

The article outlines a six‑step workflow for leveraging Codex in research tasks—starting with reading the codebase, defining clear long‑term rules, planning complex changes, verifying assumptions, resetting the session after each task, and demanding explicit validation output—to make AI‑assisted development reliable and reproducible.

AGENTS.mdAI Code GenerationCodex
0 likes · 6 min read
6 Practical Tips for Using Codex Effectively in Research Projects
Sohu Tech Products
Sohu Tech Products
May 27, 2026 · Backend Development

IDEA + JavaAI: A Hands‑On Review of Building a Mini‑Redis Spring Boot Starter

After struggling with AI‑generated code that failed on global edge cases, the author evaluates the FeiSuan JavaAI IDEA plugin, walking through its five‑agent workflow—from requirement planning to source generation—and demonstrates how it successfully creates a production‑ready mini‑redis Spring Boot starter with thorough testing.

AI Code GenerationAgentIDEA
0 likes · 16 min read
IDEA + JavaAI: A Hands‑On Review of Building a Mini‑Redis Spring Boot Starter
Sohu Tech Products
Sohu Tech Products
May 27, 2026 · Mobile Development

Avoid AI Pitfalls: A VibeCoding Checklist for Mobile Developers

This guide warns mobile developers that while VibeCoding can quickly generate SwiftUI, Compose, or Flutter code, they must still address security boundaries, cost implications, compliance rules, performance constraints, data‑schema design, testing, and incident‑response practices before releasing an app to real users.

AIComplianceCost
0 likes · 14 min read
Avoid AI Pitfalls: A VibeCoding Checklist for Mobile Developers
Sohu Tech Products
Sohu Tech Products
May 20, 2026 · Fundamentals

Why AI Code Assistants Depend on AST and LSP

This article explains how abstract syntax trees (AST) provide a structured representation of source code, how the Language Server Protocol (LSP) standardizes semantic queries, and why AI coding tools like Cursor, Claude Code, and OpenCode rely on LSP instead of simple text search, offering faster, more accurate, and lower‑cost code intelligence.

AI code assistantsASTLSP
0 likes · 20 min read
Why AI Code Assistants Depend on AST and LSP
Sohu Tech Products
Sohu Tech Products
May 20, 2026 · Artificial Intelligence

How Claude Code and BrowserAct Let AI Control Browsers with a Single Prompt

BrowserAct equips AI agents like Claude Code and Cursor with a reusable skill layer that can open pages, click buttons, fill forms, reuse login sessions, bypass anti‑automation checks, and return structured data, demonstrated through Amazon scraping, GitHub issue reading, smoke testing, and reusable Skill Forge workflows.

AI agentsBrowserActClaude Code
0 likes · 17 min read
How Claude Code and BrowserAct Let AI Control Browsers with a Single Prompt
Sohu Tech Products
Sohu Tech Products
May 20, 2026 · Artificial Intelligence

How to Eliminate Repetitive Prompts with Claude Code Skills: 5 Automation Hacks

The article introduces five Claude Code Skills—pr‑summary, fix‑issue, deep‑research, commit, and explain‑code—that package common development tasks into single commands, showing how context‑aware automation can replace repetitive prompts, streamline pull‑request creation, issue fixing, code investigation, committing, and documentation generation for teams.

AI codingClaude CodeDeveloper Tools
0 likes · 12 min read
How to Eliminate Repetitive Prompts with Claude Code Skills: 5 Automation Hacks
Sohu Tech Products
Sohu Tech Products
May 13, 2026 · Artificial Intelligence

Three Simple Steps to Make AI‑Cloned Voices Sound Truly Like You

The article reveals that 80% of AI voice‑cloning failures stem from poor recording quality, analyzes three fatal sample defects—noise pollution, high‑frequency loss, and invalid segments—and proposes a three‑step “Extract → Enhance → Select” pipeline using BS‑RoFormer, DeepFilterNet3 and NISQA, boosting similarity from 68% to 89%.

AIaudio preprocessingdeep learning
0 likes · 16 min read
Three Simple Steps to Make AI‑Cloned Voices Sound Truly Like You