Tencent Technical Engineering
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Tencent Technical Engineering

Official account of Tencent Technology. A platform for publishing and analyzing Tencent's technological innovations and cutting-edge developments.

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Tencent Technical Engineering
Tencent Technical Engineering
Mar 27, 2026 · Artificial Intelligence

How AI Coding Transformed Kuikly’s Cross‑Platform Development: A Practical Playbook

Facing the AI era, the Sogou Input Method team leveraged the Kuikly cross‑platform framework to build an AI‑driven coding pipeline, creating structured AI context, standardized Spec‑Kit workflows, and custom tools that cut new page development from three days to one while boosting code accuracy and documentation quality.

Cross-platform DevelopmentKuiklySpec Kit
0 likes · 15 min read
How AI Coding Transformed Kuikly’s Cross‑Platform Development: A Practical Playbook
Tencent Technical Engineering
Tencent Technical Engineering
Mar 23, 2026 · Artificial Intelligence

How to Turn AI into a Reliable S‑Level Web‑Testing Engineer: 4 Hard‑Earned Lessons

The article explains why powerful AI models still fail complex web‑testing tasks without proper business SOPs, and presents four concrete engineering lessons—limited context, explicit step definitions, checklist‑driven validation, and iterative self‑revision—to train an AI into a dependable, self‑checking S‑grade testing employee.

AIChecklistSkill Engineering
0 likes · 18 min read
How to Turn AI into a Reliable S‑Level Web‑Testing Engineer: 4 Hard‑Earned Lessons
Tencent Technical Engineering
Tencent Technical Engineering
Mar 9, 2026 · Artificial Intelligence

How Does OpenClaw Power Multi‑Agent AI? A Deep Dive into Architecture, Deployment, and Risks

This article explains OpenClaw’s core framework, multi‑agent communication mechanisms, deployment options on cloud or local machines, hardware recommendations, IM tool selection, session and memory management, skill handling, version control, and practical use cases while highlighting important security considerations.

DeploymentLLMOpenClaw
0 likes · 26 min read
How Does OpenClaw Power Multi‑Agent AI? A Deep Dive into Architecture, Deployment, and Risks
Tencent Technical Engineering
Tencent Technical Engineering
Mar 2, 2026 · Artificial Intelligence

Turn AI from Intern to Certified Expert with CloudBase Agent Skills

This article explains how to package eight years of cloud development experience into Agent Skills, enabling AI to generate production‑ready code, overcome local‑only limitations, and follow secure engineering practices through progressive skill loading, cloud‑native authentication, and database access controls.

AI agent skillsCloudBaseProduction‑Ready AI
0 likes · 20 min read
Turn AI from Intern to Certified Expert with CloudBase Agent Skills
Tencent Technical Engineering
Tencent Technical Engineering
Feb 27, 2026 · Artificial Intelligence

What Will AI Look Like in 2026? Insights from 8 Tech Giants

This article compiles and analyzes 2026 AI trend reports from eight leading technology companies, highlighting key themes such as AI agents, infrastructure, application scenarios, safety regulations, quantitative metrics, and shared consensus points to forecast the next phase of AI development.

2026 predictionsAI AgentsAI Trends
0 likes · 14 min read
What Will AI Look Like in 2026? Insights from 8 Tech Giants
Tencent Technical Engineering
Tencent Technical Engineering
Feb 11, 2026 · Backend Development

How WFS Ultra Achieved 200 Gbps TCP Throughput, Surpassing RDMA‑Based 3FS

The article details how the WFS Ultra project re‑engineered a traditional TCP‑based distributed file system with a Run‑To‑Completion thread model, ultra‑core async networking, full‑link zero‑copy, and load‑adaptive prefetch, enabling 200 Gbps Fio throughput that exceeds the RDMA‑accelerated 3FS benchmark.

Run-to-CompletionTCP performanceWFS Ultra
0 likes · 10 min read
How WFS Ultra Achieved 200 Gbps TCP Throughput, Surpassing RDMA‑Based 3FS
Tencent Technical Engineering
Tencent Technical Engineering
Feb 2, 2026 · Artificial Intelligence

Why Neural Networks Are the Hidden Engine Behind Modern AI: From Basics to Large Language Models

This comprehensive guide walks through the fundamentals of neural networks, activation functions, training methods, and how they power large language models, while also covering tokenization, self‑attention, transformer architectures, AI infrastructure, and practical usage through agents and retrieval‑augmented generation.

Agent SystemsGPU infrastructureNeural Networks
0 likes · 75 min read
Why Neural Networks Are the Hidden Engine Behind Modern AI: From Basics to Large Language Models
Tencent Technical Engineering
Tencent Technical Engineering
Jan 30, 2026 · Artificial Intelligence

Can Rendering Thought Chains as Images Speed Up LLM Reasoning?

This article introduces Render‑of‑Thought (RoT), a novel paradigm that compresses chain‑of‑thought reasoning into visual embeddings using frozen vision encoders, achieving 3‑4× token reduction, faster inference, and improved interpretability while requiring minimal pre‑training.

chain-of-thoughtinference optimizationlatent space
0 likes · 12 min read
Can Rendering Thought Chains as Images Speed Up LLM Reasoning?
Tencent Technical Engineering
Tencent Technical Engineering
Jan 28, 2026 · Artificial Intelligence

Deploy Clawdbot: Turn Your Computer into a Local‑First AI Personal Assistant

This article introduces Clawdbot, a local‑first AI agent that runs on your machine, explains its architecture and unique product positioning, provides step‑by‑step deployment instructions (including environment setup, cloning, configuration, and launching), and discusses advanced skill integration, security risks, and broader implications for AI‑driven workflows.

AILocal-FirstTelegram
0 likes · 8 min read
Deploy Clawdbot: Turn Your Computer into a Local‑First AI Personal Assistant
Tencent Technical Engineering
Tencent Technical Engineering
Jan 23, 2026 · Artificial Intelligence

Unlocking AI Infra: Distributed Inference, PD Separation, TileLang, and Next‑Gen Agent Infrastructure

This article surveys the 2025 AI infrastructure landscape, covering distributed inference with PD‑separation, dynamic DOPD scheduling, AFD attention‑FFN disaggregation, high‑bandwidth cross‑machine communication libraries, the TileLang programming model, RL train‑inference decoupling via SeamlessFlow, and secure, low‑latency agent infra designs for future large‑scale models.

AI infrastructureAgent SystemsGPU communication
0 likes · 27 min read
Unlocking AI Infra: Distributed Inference, PD Separation, TileLang, and Next‑Gen Agent Infrastructure