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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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Recent Articles

Latest from iQIYI Technical Product Team

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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.

AutoMQKafkacloud migration
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 programmingVSCode plugincode metrics
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.

FlinkIcebergPaimon
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 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
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 12, 2025 · Operations

How iQIYI’s “Qijing” Platform Revolutionizes Testing Across Devices and Teams

This article explores iQIYI’s comprehensive testing ecosystem, detailing industry trends, the platform’s multi‑terminal challenges, fragmented legacy solutions, and the unified, cloud‑native “Qijing” environment that streamlines test access, zero‑trust security, and real‑world validation for rapid product delivery.

Testingcloud-nativeiQIYI
0 likes · 20 min read
How iQIYI’s “Qijing” Platform Revolutionizes Testing Across Devices and Teams
iQIYI Technical Product Team
iQIYI Technical Product Team
May 15, 2025 · Big Data

Introducing AMD and ARM Bare‑Metal Instances for iQIYI Big Data Computing: Cloud Selection, Performance Evaluation, and Heterogeneous Scheduling

To reduce costs and boost compute density, iQIYI's big data team migrated from aging private‑cloud Intel servers to public‑cloud AMD and ARM bare‑metal instances, establishing a systematic machine‑selection process, performance testing framework, and YARN‑based heterogeneous scheduling to fully leverage the new hardware.

AMDARMYaRN
0 likes · 16 min read
Introducing AMD and ARM Bare‑Metal Instances for iQIYI Big Data Computing: Cloud Selection, Performance Evaluation, and Heterogeneous Scheduling