Learn to Generate Flow Charts With This Simple AI Integration

Integrating Large Language Models (LLMs) with diagramming tools like Mermaid and UML is revolutionizing software development by automating the creation of visual representations from textual descriptions.

1. Generating Flowcharts from System Descriptions

Example:

Consider a scenario where a developer needs to visualize the process of a user interacting with an online shopping platform. By providing a textual description to an LLM, the model can generate the corresponding Mermaid code for a flowchart.

Description:

“A user browses products, adds items to the cart, proceeds to checkout, enters shipping information, makes a payment, and receives an order confirmation.”

Generated Mermaid Code:

graph TD;
    A[User] --> B[Browse Products];
    B --> C[Add Items to Cart];
    C --> D[Proceed to Checkout];
    D --> E[Enter Shipping Information];
    E --> F[Make Payment];
    F --> G[Receive Order Confirmation];

This code can be rendered using Mermaid to produce a clear flowchart of the user interaction process.

2. Creating Sequence Diagrams for API Interactions

Example:

When documenting an API, it’s beneficial to illustrate the sequence of interactions between a client and the server. An LLM can assist by generating a sequence diagram based on a provided description.

Description:

“A client sends a login request to the server; the server validates credentials, returns an authentication token, and the client receives the token.”

Generated Mermaid Code:

sequenceDiagram
    participant Client
    participant Server

    Client->>Server: Login Request
    Server-->>Client: Validate Credentials
    Server-->>Client: Return Authentication Token
    Client-->>Client: Receive Token

This sequence diagram visually represents the interaction flow between the client and server during the login process.

3. Developing Class Diagrams from Object-Oriented Designs

Example:

In object-oriented design, class diagrams are essential for visualizing the relationships between different classes. An LLM can generate such diagrams from textual descriptions.

Description:

“A Car class inherits from a Vehicle class and has attributes like make, model, and year. It also has methods startEngine() and stopEngine()."

Generated Mermaid Code:

classDiagram
    class Vehicle {
        <<abstract>>
    }
    class Car {
        make
        model
        year
        startEngine()
        stopEngine()
    }
    Vehicle <|-- Ca

This class diagram illustrates the inheritance relationship and the structure of the Car class.

4. Visualizing Decision Trees for Business Logic

Example:

Decision trees are useful for mapping out business logic and decision-making processes. An LLM can generate decision tree diagrams based on detailed descriptions.

Description:

“If a customer’s purchase amount is over $100, they receive a 10% discount; if they are a loyalty member, they receive an additional 5% discount.”

Generated Mermaid Code:

graph TD;
    A[Start] --> B{Purchase Amount > $100?};
    B -- Yes --> C[Apply 10% Discount];
    B -- No --> D[No Discount];
    C --> E{Loyalty Member?};
    E -- Yes --> F[Apply Additional 5% Discount];
    E -- No --> G[No Additional Discount];
    D --> H[End];
    F --> H;
    G --> H;

This decision tree diagram helps in understanding the discount application logic for customers.

5. Generating Gantt Charts for Project Planning

Example:

Project managers can utilize LLMs to create Gantt charts for project timelines based on task descriptions.

Description:

“Task A starts on January 1st and ends on January 5th; Task B starts on January 6th and ends on January 10th; Task C starts on January 3rd and ends on January 8th.”

Generated Mermaid Code:

gantt
    dateFormat  YYYY-MM-DD
    title Project Timeline
    section Tasks
    Task A           :a1, 2024-01-01, 5d
    Task B           :a2, 2024-01-06, 5d
    Task C           :a3, 2024-01-03, 6d

This Gantt chart provides a visual representation of the project schedule.

6. Visualizing State Machines for System States

Example:

State machine diagrams are essential for modeling the states and transitions of a system. An LLM can generate these diagrams from textual descriptions.

Description:

“A traffic light has three states: Red, Green, and Yellow. It transitions from Red to Green, Green to Yellow, and Yellow to Red.”

Generated Mermaid Code:

stateDiagram
    [*] --> Red
    Red --> Green
    Green --> Yellow
    Yellow --> Red

This state diagram depicts the transitions between the different states of a traffic light system.

7. Creating Mind Maps for Brainstorming Sessions

Example:

Mind maps are useful for organizing ideas during brainstorming sessions. An LLM can assist in generating mind maps from outlined topics.

Description:

“The central idea is ‘Software Development’. Main branches include ‘Frontend’, ‘Backend’, ‘DevOps’, and ‘Testing’.”

Generated Mermaid Code:

mindmap
    root((Software Development))
        Frontend
        Backend
        DevOps
        Testing

This mind map provides a visual representation of the main areas in software development.

By leveraging LLMs to generate Mermaid and UML diagrams from textual descriptions, developers and project managers can streamline the documentation process, enhance clarity, and improve communication within teams.

References :

• https://www.visual-paradigm.com/guide/uml-unified-modeling-language/about-state-diagrams/
• https://drawio-app.com/blog/uml-state-diagrams-with-draw-io/
• https://drawio-app.com/blog/create-uml-sequence-diagrams-in-draw-io/