CalEx-JavaAI : AI Coding Assistant downloads statistics

CalEx-JavaAI : AI Coding Assistant :

CalEx-JavaAI AI代码助手 ：

Not just an AI Coding generation tool, but also an Agentic Coding Platform,

不仅仅是一个AI代码生成工具，而且是一个智能体编码平台，

it offers guided development,assists in requirement refinement and function design,

它提供指导开发，协助需求细化和功能设计，

and generates complete project source code accurately.

并准确生成完整的项目源代码。

Four Major Product Features:

产品四大功能板块：

Intelligent Guidance, SQL Chat, AI Toolbox, Intelligent Conversation

智能引导、SQL chat、AI工具箱、智能会话

Section One: Intelligent Guidance

第一板块：智能引导

Five-step intelligent guidance, one-click generation of complete project code.

五步智能引导、一键生成完整工程代码。

1. Requirement Understanding: Clarify core project or product requirements,

and intelligently break them down into executable tasks.

1、需求理解：明确项目或产品的核心需求，并将这些需求智能拆解为可执行的任务项。

1. Interface Design: Based on understood requirements, design clear and efficient interfaces.

2、设计接口：基于已理解的需求，设计清晰、高效的接口。

1. Table Structure Design: Create efficient data table structures based on requirements

and interface design.

3、表结构设计：根据需求及接口设计，创建高效的数据表结构。

1. Processing Logic (Interface): Generate business logic and implementation steps for each interface.

4、处理逻辑(接口)：为每个接口生成业务逻辑及其实现步骤。

1. Generate Source Code: One-click generation of a complete project package, including

Java project-level source code, SQL scripts, functions, configuration files, etc.

5、生成源码：一键生成包括Java工程级源代码、SQL脚本、函数、配置文件等在内的完整项目包。

Section Two: SQL Chat

第二板块：SQL chat

Utilizes natural language processing technology to convert

natural language questions into SQL queries.

用自然语言处理技术将自然语言问题转化为SQL查询。

Natural Language Query: Users can ask questions in natural

language, which will be automatically converted into SQL queries.

自然语言查询：用户可通过自然语言提问，它会自动转化为 SQL 查询。

Multi-Data Source Support: Supports connecting to various

databases, such as PostgreSQL, MySQL, mariadb, oracle, SqlServer,

dm, kingbase, kingbase8, tidb, gbase, etc.

多数据源支持：支持连接多种数据库，如 PostgreSQL、MySQL、mariadb、oracle、SqlServer

dm、kingbase、kingbase8、tidb、gbase等。

Semantic Understanding: Utilizes a semantic engine to enhance

the understanding of business context, ensuring the accuracy of query results.

语义理解：利用语义引擎增强对业务上下文的理解，确保查询结果的准确性。

Security: Ensures the security of user data by only using

metadata for queries, without transmitting actual data.

Section Three: AI Toolbox

第三板块：AI工具箱

With AI as the core driving force, it builds a toolbox covering the entire lifecycle

of requirement analysis, design and development, testing, and operations.

以 AI 为核心驱动力，构建覆盖需求分析、设计开发、测试、运维全生命周期的工具箱，

通过持续拓展工具矩阵，全方位助力用户提升工作效率。

By continuously expanding the tool matrix, it comprehensively assists users

in improving work efficiency.

Project Document Analyzer:

项目文档分析器：

The Project Document Analyzer deeply analyzes and parses the project source code

and related configurations in Feisuanyz JavaAI, covering key dimensions

such as system architecture, core function descriptions, data flow directions,

deployment guides, and scalability design.

项目文档分析器是飞算JavaAI对项目源码及相关配置进行深度分析解析，涵盖系统架构、

核心功能说明、数据流走向、部署指南、可扩展性设计等关键维度，

and automatically generates structured project introduction documents.

并自动生成结构化的项目简介文档。

You can quickly grasp the overall architecture and core points of the project through this

document, significantly improving project understanding and integration efficiency.

您可通过该文档快速掌握项目的整体架构与核心要点，显著提升项目理解和接入效率。

Framework Migrator:

框架迁移器：

It focuses on helping developers migrate code from one framework to another,

such as log4j. It automatically handles API changes, syntax adjustments,

dependency upgrades, and other issues, greatly reducing migration costs.

专注于帮助开发者将代码从一种框架迁移到另外的框架比如log4j，自动处理API变更、语法调整、

依赖升级等问题，大幅降低迁移成本。

Supported Source Frameworks:

Fest 2.x, JUnit asserts, TestNG assertions, Hamcrest assertions, Google Truth,

EasyMock, JMockit, JCL, JBoss Logging, JUL, Log4j 1.x, Log4j 2.x, SLF4J,

Health Checks, Spring, Dropwizard, SpringFox Swagger, Swagger,

springdoc-openapi-common, Spring Cloud Sleuth, rider-spring (JUnit4),

Jakarta annotation API, JetBrains annotations, Spring Framework annotations,

javax annotation API, Java Faker, Micrometer annotations, OpenJPA, JavaEE,

Joda-Time, JUnit 5.x, Hamcrest assertions, Jupiter migration

支持的源框架：

Fest 2.x、JUnit asserts、TestNG assertions、Hamcrest assertions、Google Truth、

EasyMock、JMockit、JCL、JBoss Logging、JUL、Log4j 1.x、Log4j 2.x、SLF4J、

Health Checks、Spring、Dropwizard、SpringFox Swagger、Swagger、

springdoc-openapi-common、Spring Cloud Sleuth、rider-spring (JUnit4)、

Jakarta annotation API、 JetBrains annotations、Spring Framework annotations、

javax annotation API、Java Faker、Micrometer annotations、 OpenJPA、JavaEE、

Joda-Time、JUnit 5.x、Hamcrest assertions、Jupiter migration

Supported Target Frameworks:

AssertJ, Mockito, SLF4J, Logback, Log4j, Spring Boot, Springdoc, Micrometer Tracing,

rider-junit5 (JUnit5), JSpecify, Datafaker, EclipseLink JPA, Quarkus 2,

Java-Time, JUnit 6, JUnit Jupiter

支持的目标框架：

AssertJ、Mockito、SLF4J、Logback、Log4j、Spring Boot、Springdoc、Micrometer Tracing、

rider-junit5(JUnit5)、JSpecify、Datafaker、EclipseLink JPA、Quarkus 2、

Java-Time、JUnit 6、JUnit Jupiter

Java Security Fixer:

Java安全修复器：

It can detect whether there are security vulnerabilities in the current project.

If vulnerabilities exist, it will help you fix them.

It includes best practices for preventing Java security vulnerabilities

and fixing OWASP Top 10 vulnerabilities, etc.

可检测当前项目是否存在安全漏洞，若存在则会帮你修复该漏洞，防范Java安全漏洞的

最佳实践以及修复OWASP十大漏洞等。

Java Cleaner:

Java整洁器：

The Java Cleaner solves common static analysis issues (also known as SAST issues)

and automatically fixes Checkstyle violations.

It also automatically cleans up the code, such as removing unnecessary parentheses

and simplifying expressions, to keep the Java code clean.

Java整洁器解决常见的静态分析问题（也称为 SAST 问题）, 同时自动修复 Checkstyle 违规行为。

还会自动清理代码，例如删除不必要的括号，简化表达式等，让Java代码整洁。

Framework Upgrader:

框架升级器：…