How QQ Browser Turned AI Chat Into a 23‑Tool Production Line in Two Weeks

From a Curious Idea to a Working Calculator

A product manager at Tencent, who could not write code, asked CodeBuddy to build an "early‑repayment calculator" using only plain language. After three conversational rounds—defining core metrics, adding repayment options, and refining interest rules—CodeBuddy generated a functional HTML tool that appeared instantly.

Building a Reusable AI Development Framework

Seeing the success, the team extracted the entire workflow, identified pain points, and created a standardized template system. The template includes a shared CSS library, common JavaScript utilities (iframe height‑adjustment and day/night mode sync), and a configurable iframe card that can be embedded on the QQ Browser search results page.

The process is driven by natural‑language prompts: the product manager describes the desired feature, CodeBuddy asks clarifying questions, and the resulting specification is saved as a document. This document can then be turned into a new tool with a single command.

Engineering the Production Line

To make the workflow scalable, the team introduced Git version control, organized the repository with clear naming conventions, and wrapped repetitive actions into CodeBuddy commands (e.g., /需求澄清, /提交到远程, /拉取最新代码). A local preview environment mimics the real search‑page layout, and a one‑click CloudStudio deployment provides true‑device previews.

All operations can be performed inside the ChatBox, keeping the experience product‑friendly and eliminating the need for separate IDEs or manual Git commands.

Results and Outlook

Within two weeks the team launched 23 small tools, reporting a 370.5% efficiency gain. More importantly, the initiative sparked a “collective evolution” of product, design, and engineering roles, turning ideas into prototypes directly through AI assistance.

Future work includes migrating the HTML/JS templates to a full‑stack front‑end framework, integrating existing backend services (accounting, reporting, API calls), and further reducing the context required for non‑technical contributors.