Workflow for agentic development

  • Release version: Australia
  • Updated June 5, 2026
  • 2 minutes to read
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    Summary of Workflow for agentic development

    The agentic development workflow in ServiceNow enables developers to build applications using AI-assisted conversational prompts. Developers provide natural language goals to the Build Agent tool, which then autonomously generates tables, forms, workflows, and automation rules. The process integrates tools such as Build Agent and ServiceNow Otto for Creator to facilitate text-to-code generation, code explanation, and optimization, all while embedding governance and security to ensure enterprise-grade compliance and scalability.

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    Agentic development supports two main approaches: one where developers deploy AI-generated output without reviewing code, and another iterative approach where developers guide AI, review the output, and retain responsibility for the code. ServiceNow provides capabilities to review, refine, and test applications throughout the development cycle.

    Step-by-Step Workflow

    • Describe your goal: Start by providing a clear, detailed natural language prompt describing the application requirements, including roles, data needs, and success criteria. This enables more precise and robust app development.
    • Generate the plan: Build Agent interprets the prompt and creates a blueprint outlining tables, roles, UI components, and workflows, offering architectural clarity before coding.
    • Build and generate code: The ServiceNow AI Platform autonomously produces full-stack components using ServiceNow Fluent, JavaScript, and metadata, including UI pages, data models, business rules, and integration points.
    • Validate and self-heal: Automated tests are generated, and errors are fixed without manual intervention. Governance features automatically enforce compliance and security checks.
    • Refine through prompts: Developers can iteratively add features or improve design via conversational prompts, enhancing flexibility in app development.
    • Run tests: Use the Automated Test Framework to verify that the app functions as expected.
    • Deploy securely: Deploy applications from sandboxes with audit trails and enterprise-grade security using Vault Console and Machine Identity Console.

    Key Benefits for ServiceNow Customers

    • Accelerated app development with AI-assisted text-to-code generation.
    • Improved clarity and control through architectural blueprints before coding.
    • Embedded governance ensuring compliance and security throughout development.
    • Iterative refinement capabilities for continuous app improvement.
    • Automated testing and self-healing reduce manual effort and enhance reliability.
    • Secure deployment with audit trails supporting enterprise standards.

    The agentic development workflow begins with developers providing conversational prompts to the Build Agent tool, which then creates tables, forms, workflows, and automation rules.

    Integrated tools like Build Agent and ServiceNow Otto for Creator enhance the experience by offering text-to-code generation, code explanations, and optimization suggestions. Governance and security are embedded throughout the process, ensuring enterprise-grade compliance and scalability.

    Note:
    Agentic development encompasses a range of approaches to AI-assisted app building:
    • In one approach, developers provide a goal and deploy the generated output without reviewing the underlying code.
    • In another approach, agentic development is an iterative, conversational process in which developers guide AI generation, review the output, and retain responsibility for the generated code.
    ServiceNow provides tools to help you review, refine, and test apps throughout agentic development, including Build Agent and ServiceNow Otto for Creator.

    Step-by-step general workflow

    1. Describe your goal: Provide a clear natural language prompt (for example, Create an application that handles several types of issues related to cash management. Create a custom data model with tables for each type of request. Add fields that are typical for these types of issues to each table. Request tables should extend the Task table. Create custom states for each request type to track issue resolution.).

      Tip:
      • If you're using Build Agent, include as much context as possible in your first prompt to enable more robust development. Include roles, data requirements, and success criteria.
      • You can craft a prompt and then feed it to an LLM, such as Claude, and ask for it to be made more specific for ServiceNow.

      For more information on example prompts, see Example prompts for agentic development.

    2. Generate the plan: Build Agent interprets your prompt and creates a blueprint, including tables, roles, UI components, and workflows.

      Benefit: Architectural clarity before coding begins. For more information, see Vibe coding: Chatting your way to a new app with ServiceNow Build Agent.

    3. Build and generate code: The ServiceNow AI Platform autonomously creates full-stack components using ServiceNow Fluent, JavaScript, and ServiceNow metadata.

      Includes: UI pages, data models, business rules, and integration points. For more information, see Vibe coding with ServiceNow Build Agent: The future of AI-powered app development.

    4. Validate and self-heal: If you're using Build Agent, it generates automated tests and fixes errors without manual intervention.

      Governance: Compliance and security checks are applied automatically. For more information, see Governance for agentic development.

    5. Refine through prompts: Add features or adjust design iteratively (for example, Add a Kanban board or Improve UI layout for accessibility).

      For more information, see Vibe Coding: Chatting your way to a new app with ServiceNow Build Agent on Community.

    6. Run tests: Run Automated Test Framework to test that the app is working as expected.

      For more information, see Testing agentically developed apps.

    7. Deploy securely: Push from a sandbox in Developer Sandboxes with audit trails and enterprise-grade security via Vault Console and Machine Identity Console.

      For more information, see Agentic development and deployment.