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iQIYI Technical Product Team
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iQIYI Technical Product Team

The technical product team of iQIYI

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Latest from iQIYI Technical Product Team

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iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 11, 2026 · Big Data

How iQIYI’s QBFS Enables Seamless Hybrid‑Cloud Storage and Cuts Big‑Data Costs by Over 30%

iQIYI’s big‑data team built a self‑developed QBFS virtual file system that unifies private and multiple public clouds, providing transparent routing, automatic migration, intelligent caching and fine‑grained governance, which together reduce storage and compute costs by more than 30 % while supporting scalable analytics.

Big DataCachingData Migration
0 likes · 21 min read
How iQIYI’s QBFS Enables Seamless Hybrid‑Cloud Storage and Cuts Big‑Data Costs by Over 30%
iQIYI Technical Product Team
iQIYI Technical Product Team
May 7, 2026 · Mobile Development

How iQIYI Cut Memory Peaks by 60% and Boost Animated Image Loading by 75% with Cangjie on HarmonyOS

iQIYI built a high‑performance image library for HarmonyOS using Huawei's Cangjie language, replacing ArkTS bottlenecks, adding AVIF support and a three‑level cache, and achieved over 60% reduction in memory peak usage and up to 75% faster animated‑image loading, as demonstrated by detailed benchmarks and architectural analysis.

AVIFCangjieHarmonyOS
0 likes · 13 min read
How iQIYI Cut Memory Peaks by 60% and Boost Animated Image Loading by 75% with Cangjie on HarmonyOS
iQIYI Technical Product Team
iQIYI Technical Product Team
Mar 26, 2026 · Artificial Intelligence

How Specflow Turns AI Coding into a Structured Development Pipeline

Specflow is an AI‑driven workflow for the Cursor IDE that combines lightweight OpenSpec, rigorous GitHub Spec Kit, and multi‑agent BMAD methods into a four‑stage Spec‑Driven Development process—Specify, Plan, Implement, and Archive—enforcing strict contracts, role isolation, and automated quality control to eliminate context loss and reduce manual debugging.

AIAutomationCursor IDE
0 likes · 15 min read
How Specflow Turns AI Coding into a Structured Development Pipeline
iQIYI Technical Product Team
iQIYI Technical Product Team
Jan 8, 2026 · Big Data

How iQIYI Cut Stream Data Costs by 70%: From Private‑Cloud Kafka to AutoMQ

This article details iQIYI's evolution from a tightly coupled private‑cloud Kafka setup to a cloud‑native AutoMQ architecture, describing the challenges of scaling, the development of the Stream platform and Stream‑SDK, the migration to hybrid and public‑cloud Kafka, and the resulting cost and elasticity improvements.

AutoMQCloud MigrationData Architecture
0 likes · 12 min read
How iQIYI Cut Stream Data Costs by 70%: From Private‑Cloud Kafka to AutoMQ
iQIYI Technical Product Team
iQIYI Technical Product Team
Nov 6, 2025 · Artificial Intelligence

How to Quantify AI Programming Efficiency: A Traceable, Measurable System

This article describes the challenges of AI‑assisted coding, outlines why AI dialogue traceability and contribution quantification are essential, and presents a VSCode‑based plugin plus a cloud service that together record, aggregate, and analyze AI interactions to turn AI programming into a measurable, team‑wide productivity metric.

AI programmingProductivityVSCode plugin
0 likes · 8 min read
How to Quantify AI Programming Efficiency: A Traceable, Measurable System
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 7, 2025 · Big Data

Building a Low‑Latency, High‑Capacity Real‑Time Data Platform for Finance

Facing growing data demands in finance, we replaced two legacy synchronization pipelines with a unified, low‑latency architecture using BabelX Real‑Time, Flink CDC, Iceberg v2 and Paimon, achieving minute‑level data freshness, ten‑to‑thirty‑fold query speedups, reduced storage costs, and streamlined schema management across multiple business units.

Big DataFlinkIceberg
0 likes · 12 min read
Building a Low‑Latency, High‑Capacity Real‑Time Data Platform for Finance
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 17, 2025 · Databases

How iQIYI Unified Its Points System with MongoDB 7.0 for Massive Scale

iQIYI’s points platform, serving multiple business lines and billions of users, migrated from a dual MySQL‑MongoDB architecture to a single MongoDB 7.0 cluster to overcome performance bottlenecks, ensure strong consistency, simplify operations, and support unlimited horizontal scaling for future growth.

Database MigrationMongoDBScalable Architecture
0 likes · 12 min read
How iQIYI Unified Its Points System with MongoDB 7.0 for Massive Scale
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 3, 2025 · Artificial Intelligence

Three iQIYI AI Papers Break New Ground at ACL 2025 & INTERSPEECH 2025

iQIYI’s AI research team secured three paper acceptances—two at ACL 2025 (including a main conference and a Findings paper) and one at INTERSPEECH 2025—covering long‑context large language model evaluation, Chinese novel summarization, and efficient Thai speech recognition, with links to each work.

ACL 2025AI researchINTERSPEECH 2025
0 likes · 7 min read
Three iQIYI AI Papers Break New Ground at ACL 2025 & INTERSPEECH 2025