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Tencent Technical Engineering

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Latest from Tencent Technical Engineering

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Tencent Technical Engineering

May 26, 2026 · Information Security

AI Era Vulnerability Benchmark Revamp: 3,632 CVE Insights & VulnGym Release

Analyzing 3,632 high‑severity GitHub Advisory reports from 2025‑2026, the authors reveal a sharp rise in business‑logic flaws—especially in high‑star projects—prompting a redesign of vulnerability‑detection benchmarks, and introduce VulnGym, a real‑project, white‑box dataset with 400+ paths and detailed entry‑point, trace, and critical‑operation annotations.

AI securityBusiness Logic BugsOpen Source

0 likes · 17 min read

AI Era Vulnerability Benchmark Revamp: 3,632 CVE Insights & VulnGym Release

Tencent Technical Engineering

May 25, 2026 · Artificial Intelligence

vLLM Deep Dive: Continuous Batching and Paged Attention for Fast LLM Inference

This article walks through a two‑month source‑code study of vLLM, explaining how token‑level scheduling, continuous batching, and the Paged Attention mechanism reshape tensor dimensions to turn large‑model inference into a compute‑bound, high‑throughput process while managing GPU memory efficiently.

FlashAttentionGPU optimizationLLM inference

0 likes · 29 min read

vLLM Deep Dive: Continuous Batching and Paged Attention for Fast LLM Inference

Tencent Technical Engineering

May 24, 2026 · Artificial Intelligence

How Tsinghua & Tencent Mixed‑X Won the MLSys 2026 MoE Inference Challenge with a 4.1× Speedup

The Tsinghua‑Tencent Mixed‑X team captured the MLSys 2026 MoE inference optimization championship by analyzing NPU bottlenecks, redesigning data movement, applying expert‑level sharding, continuous DMA, PSUM batching, and an Agent‑based optimizer, achieving a 4.1× end‑to‑end speedup while preserving bit‑level output fidelity.

Agent optimizerMLSys 2026MoE

0 likes · 14 min read

How Tsinghua & Tencent Mixed‑X Won the MLSys 2026 MoE Inference Challenge with a 4.1× Speedup

Tencent Technical Engineering

Apr 23, 2026 · Artificial Intelligence

Tencent Hunyuan Launches Hy3 Preview: Open‑Source Model Boosts Agent Performance

On April 23, Tencent released the open‑source Hy3 preview, a 295 B‑parameter hybrid expert model with 21 B active parameters and 256K context length, delivering substantial gains in complex reasoning, instruction following, code and agent tasks, achieving 40 % faster inference, lower costs, and strong benchmark results across Tencent’s AI products.

Agent CapabilitiesHy3-previewTencent Hunyuan

0 likes · 9 min read

Tencent Hunyuan Launches Hy3 Preview: Open‑Source Model Boosts Agent Performance

Tencent Technical Engineering

Apr 21, 2026 · Backend Development

Can AI Safely Write Code for High‑Risk Backend Systems? Lessons from Tencent’s CDN LEGO Project

When AI coding hype focuses on front‑end page generation, the real challenge is whether AI can be trusted to write code for a million‑line, high‑availability CDN backend; this article details Tencent’s systematic exploration, a 20‑day Rust proxy prototype, a five‑layer Harness Engineering framework, and concrete data showing both breakthroughs and remaining risks.

AI codingBackend DevelopmentHarness engineering

0 likes · 25 min read

Can AI Safely Write Code for High‑Risk Backend Systems? Lessons from Tencent’s CDN LEGO Project

Tencent Technical Engineering

Apr 20, 2026 · R&D Management

How AI Can Automate the Entire Software Delivery Pipeline from Requirement to Deployment

The article outlines a multi‑stage AI‑driven automation roadmap that extends from requirement gathering through technical solution generation, code creation, testing, and deployment, detailing challenges such as workflow standardization, knowledge‑base construction, skill reuse, and quality assurance, and presents concrete metrics showing up to 80% efficiency gains.

AI automationAI codingDevOps

0 likes · 16 min read

How AI Can Automate the Entire Software Delivery Pipeline from Requirement to Deployment

Tencent Technical Engineering

Apr 17, 2026 · Backend Development

How Agentic Engineering Automates End‑to‑End Backend Development

This article walks through a complete Agentic Engineering workflow for a backend Go service, showing how AI‑driven Skills and Commands automate requirement capture, clarification, planning, parallel development, code review, deployment, log analysis, MR creation, AI‑assisted review, automated fixes, and final merge, while highlighting token consumption and practical lessons.

AI-assisted developmentBackend workflowDevOps automation

0 likes · 31 min read

How Agentic Engineering Automates End‑to‑End Backend Development

Tencent Technical Engineering

Apr 12, 2026 · Operations

How TencentOS Engineers Revamped Linux Swap for 5‑20% Performance Gains

This article translates and consolidates three LWN analyses of the Linux swap subsystem modernization led by TencentOS kernel engineer Kairui Song, detailing the introduction of swap tables, removal of the swap map, virtual swap concepts, code changes, performance improvements of up to 20 % and the broader impact on the kernel community.

Linux kernelMemory Managementperformance optimization

0 likes · 27 min read

How TencentOS Engineers Revamped Linux Swap for 5‑20% Performance Gains

Tencent Technical Engineering

Apr 9, 2026 · Backend Development

Inside the 512K‑Line AI Agent Harness: Architecture, Performance Tricks & Hidden Easter Eggs

This article provides a comprehensive technical deep‑dive into a cutting‑edge TypeScript CLI AI coding agent, covering its massive 1,900‑file, 512 K+ line codebase, layered startup, tool system design, async query engine, multi‑agent orchestration, performance optimisations, the emerging Harness Engineering paradigm, and a suite of hidden features such as a virtual pet, AutoDream memory consolidation, and playful commands.

0 likes · 57 min read

Inside the 512K‑Line AI Agent Harness: Architecture, Performance Tricks & Hidden Easter Eggs

Tencent Technical Engineering

Mar 30, 2026 · Artificial Intelligence

How Agentic Engineering Turns AI into a Full‑Stack Development Partner

This article explores Agentic Engineering, a methodology that transforms AI agents from simple code‑generation tools into coordinated, context‑aware collaborators capable of handling the full software development lifecycle—from requirement analysis and design to coding, testing, and knowledge retention—while addressing challenges like context scarcity, hallucinations, and token efficiency.

0 likes · 105 min read

How Agentic Engineering Turns AI into a Full‑Stack Development Partner