Generate design documents, code,
and test cases with AI agents

With DC Agentiqs, you can build specialized AI agents that,
based on system prompts and the knowledge you provide,
generate deliverables just like an engineer on the ground.

scenario1

Create design documents from requirements managed in Jira

Create design documents from requirements managed in Jira. The workflow captures every requirement without omission and produces the design deliverables.


実行の流れ

  • Import the input requirements
  • The agent works out a design overview from the requirements
  • The agent creates a detailed design from the requirements

scenario2

Generate source code from a detailed design document

Based on the detailed design document, the AI agent generates source code that follows the coding standards.


実行の流れ

  • Load the input detailed design document
  • Retrieve the coding standards
  • Output source code that follows the standards
  • Use the workflow to retrieve every file → design

scenario3

Generate test cases from a design document

Based on the design content, the AI agent creates test cases. By providing test perspectives and past test items, you can create test cases flexibly.


実行の流れ

  • Load the input design document
  • Retrieve past deliverables and test perspectives
  • Retrieve past issues
  • Output test cases in the specified format
  • Use the workflow to cover every design target comprehensively

scenario4

Generate a design document
from source code (reverse engineering)

Based on the source code, the AI agent creates a design document. Even time-consuming reverse engineering can be done efficiently through an AI agent.


実行の流れ

  • Load the input source code
  • Retrieve past design deliverables and know-how
  • Output the design content in the specified format
  • Run the workflow across every file
  • scenario1

    Create design documents from requirements managed in Jira

    Create design documents from requirements managed in Jira. The workflow captures every requirement without omission and produces the design deliverables.


    実行の流れ

    • Import the input requirements
    • The agent works out a design overview from the requirements
    • The agent creates a detailed design from the requirements
  • scenario2

    Generate source code from a detailed design document

    Based on the detailed design document, the AI agent generates source code that follows the coding standards.


    実行の流れ

    • Load the input detailed design document
    • Retrieve the coding standards
    • Output source code that follows the standards
    • Use the workflow to retrieve every file → design
  • scenario3

    Generate test cases from a design document

    Based on the design content, the AI agent creates test cases. By providing test perspectives and past test items, you can create test cases flexibly.


    実行の流れ

    • Load the input design document
    • Retrieve past deliverables and test perspectives
    • Retrieve past issues
    • Output test cases in the specified format
    • Use the workflow to cover every design target comprehensively
  • scenario4

    Generate a design document
    from source code (reverse engineering)

    Based on the source code, the AI agent creates a design document. Even time-consuming reverse engineering can be done efficiently through an AI agent.


    実行の流れ

    • Load the input source code
    • Retrieve past design deliverables and know-how
    • Output the design content in the specified format
    • Run the workflow across every file

Benefits of this use case

AI use across the whole process

AI creates deliverables across processes

Reduced work time

Creating deliverables with AI cuts time dramatically compared to before
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