Official tech channel of 58, a platform for tech innovation, sharing, and communication.
This article details the architecture, core processes, and module designs of the JiShi BI platform, a self‑built data visualization and analysis system that integrates data ingestion, processing, enhanced AI‑driven analytics, and multi‑dimensional dashboard capabilities to support enterprise decision‑making.
This article describes the background, goals, architecture, and implementation details of a low‑code data platform that enables fast creation, configuration, and execution of data‑related tools for testing, development, and operations, highlighting its component library, rule engine, security, version control, and measurable efficiency gains.
The article introduces Kylin, 58’s self‑developed one‑stop performance testing platform, detailing its background, development stages, core modules such as management console, test engine, scheduler, data monitoring and report aggregation, as well as its architecture, SCF support, task scheduling, data collection, reporting mechanisms, practical results and future roadmap.
This article introduces the AI sales assistant from 58.com, detailing its background, a few‑shot voice cloning approach using real dialogue data, multi‑accent naturalness optimization, deployment architecture, and future plans, while evaluating performance metrics and discussing challenges in speech synthesis quality and stability.
This article describes how to engineer Java Velocity templates for local development within a Vue project by creating a Node‑based rendering engine and a custom Webpack loader, enabling hot‑reloading, mock data injection, and seamless integration of Velocity‑generated HTML into the Vue build pipeline.
This article describes Anjuke's R&D efficiency measurement framework, detailing its quality and efficiency metrics across project phases, the data collection and processing architecture, visualization dashboards, and analysis methods used to monitor and improve development productivity, reliability, and continuous delivery.
This article details the evolution from the initial Kaldi‑based speech recognition architecture (version 1.0) to a re‑engineered version 2.0, describing business background, service components, identified shortcomings, and a series of performance, concurrency, GPU, I/O, GC, and dispatch optimizations that dramatically improve resource utilization, latency, and reliability for large‑scale voice processing at 58.com.
This article explains the design, implementation, and experimental evaluation of hot‑word augmentation in WeNet's GPU runtime, detailing how character‑ and word‑based language model scoring are extended to boost recognition of rare proper nouns in both streaming and non‑streaming ASR services.
The DataFun Summit 2023 brings together leading experts to discuss large models and AIGC, featuring a keynote on voice cloning technology for AI sales assistants that covers multi‑speaker, multi‑accent cloning, naturalness optimization, and deployment strategies.
This article introduces the Fair dynamic framework for Flutter, explains the pain points of manual dynamic updates, and provides a step‑by‑step guide—including tool installation, project creation, template usage, hot‑reload packaging, and preview—so developers can quickly adopt dynamic UI updates in mobile apps.
