AI-led software development life cycle \(SDLC\) on the ServiceNow AI Platform

concept brazil Updated Sep 14, 2026 2 min read servicenow-ai-sdlc.md
Raw file servicenow.com

Build, test, source-control, and release ServiceNow applications end to end using the recommended ServiceNow stack.

The advent of agentic software development has changed the software development life cycle across industries and organizations. To keep pace with these rapidly-evolving technologies and enhanced ServiceNow tooling, ServiceNow has developed a new approach to the software development life cycle (SDLC). This new, AI-led SDLC covers all stages of development for both net new apps and customizations or extensions to existing ServiceNow applications. To learn more about the ServiceNow AI-led SDLC, see SDLC on ServiceNow.

The recommended ServiceNow stack includes:

Together, these components carry an application through the stages of the SDLC:

  • Planning

    Define build-ready requirements with entities, roles, and Given-When-Then criteria.

  • Building

    Author ServiceNow Fluent metadata and logic, with or without AI assistance.

  • Testing

    Generate and run ATF coverage alongside development.

  • Managing

    Branch, review, and merge changes in GitHub, then publish to the Application Repository.

  • Releasing

    Assess and promote the deployment through ReleaseOps.

For the full walkthrough of this model, see the SDLC on ServiceNow.

Parent Topic:Exploring agentic development

Search documentation
Search document titles and file paths on the brazil branch