麦芽AI

Editor Review

When a requirement is still stuck in chat logs, Maiya turns the discussion into a prototype you can open and then into a requirements document and interface notes. Engineering can generate front-end and back-end code at the level of a function, a page, or a whole project, in Python, Java, Go, or TypeScript. Tests are generated from the requirement and prototype, run automatically, failed cases become defects, and a visual report is produced per environment. Member permissions, activity logs, and private deployment sit in the same admin layer. It fits product-engineering teams that want prototype, docs, code, and tests in one project, especially informatization work that must stay on an internal network.

AI Tools Navigator Editorial TeamUpdated: 2026-10-09

What is 麦芽AI

Maiya AI is developed by Maiya Zhichuang (Hunan) Technology Co。 Ltd. for product, engineering, and test teams. Its site says a conversation can produce prototypes, documents, databases, code, and automated tests, and keep those materials on one delivery path. A lead assistant can dispatch specialist assistants, so one requirement can yield a requirements document, a prototype, tables, business code, and test cases together. The desktop client supports Windows and macOS and signs in with a phone number. Companies can use seats, or choose private or fully local deployment.

麦芽AI Key Features

Chat into a previewable prototype

Describe a business scene in natural language, generate a previewable prototype, and revise it globally or page by page.

Draft requirements and interface docs

From the prototype and the requirement, it drafts a requirements document, interface notes, and test notes, which chat can keep editing.

Generate code at three scopes

It can generate front-end and back-end code for a function, a page, or a full project, in Python, Java, Go, and TypeScript.

Run cases and file defects

It builds test cases from requirements and prototypes, runs them, turns failures into defects, and outputs a report per environment.

Private deployment and audit

It offers seat admin, permissions, encryption for storage and transfer, and activity audit, plus fully local deployment with no public network.

麦芽AI Key Advantages

One conversation can move a prototype, requirements document, tables, business code, and test cases together

Code generation has function, page, and project scopes, and covers Python, Java, Go, and TypeScript

Test cases run automatically, failures become defects, and a report is generated per environment

It supports member permissions, activity audit, and fully local deployment with no public-network access

麦芽AI Use Cases

Review an interactive prototype first

A product manager describes roles and flows in a few sentences and gets a previewable prototype for a review.

Generate project code from the docs

Engineers use a confirmed prototype and interface notes to generate front-end and back-end code and tables for a page or a whole project.

Run a regression batch

Testers have cases generated from the requirement and executed, failures filed as defects, and a report shown per environment.

Frequently Asked Questions

▶What can one requirement produce?

The site says a lead assistant dispatches specialist assistants, so one requirement can yield a requirements document, prototype, database, business code, and test cases. Documents include the requirements document and interface notes. Code can be a function, a page, or a project, in Python, Java, Go, or TypeScript. Generated test cases are executed automatically. The exact scope follows the feature list both sides confirm.

▶Can data stay on an internal network?

Yes. The site offers private deployment and a fully local option: the model stays local, there is no public-network access, and encryption plus permissions cover the path. Admins can see member activity, including time and related project. Standard use is the Windows or macOS client signed in with a phone number. New users get a trial; ongoing use is seats and resource packs.

Editor Review

What is 麦芽AI

Basic Info

Best For

麦芽AI Key Features

麦芽AI Key Advantages

麦芽AI Use Cases

Frequently Asked Questions

Latest News

User Reviews

Coze

SiliconFlow

码上飞

Zion

OpenRouter

秒哒

Dify

Trickle AI

麦芽AI

Editor Review

What is 麦芽AI

Basic Info

Best For

麦芽AI Key Features

麦芽AI Key Advantages

麦芽AI Use Cases

Frequently Asked Questions

Latest News

User Reviews

Related Tools

Coze

SiliconFlow

码上飞

Zion

OpenRouter

秒哒

Dify

Trickle AI