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sourceDocument: Brazil Build or modify applications
sourceDocumentLink: https://www.servicenow.com/docs/r/application-development

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    - brazil

ft:locale :

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ft:publication_title :

    - Brazil Build or modify applications

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---

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

# AI-led software development life cycle (SDLC) on the ServiceNow AI Platform {#ariaid-title1}

Release version: Brazil  
Updated September 14, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
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](https://servicenow.github.io/sdk/guides/sdlc-guide).  
The recommended ServiceNow stack includes:

* [Build Agent](https://www.servicenow.com/docs/xjgkI5tEVAGCuGZ1x8mhfA "Use Build Agent, an autonomous AI agent, for creating and updating ServiceNow applications. You can also ask Build Agent general ServiceNow development questions.")
* [ServiceNow Studio](https://www.servicenow.com/docs/_ixEst_r1deKyWA7ozeTqQ "Use ServiceNow Studio to build, manage, and deploy custom, base system, or global applications and global metadata records from a single development environment.")
* [ServiceNow SDK](https://www.servicenow.com/docs/kxHFmPu4YSc2NQeuYCjRYg "Create and develop applications in source code locally in Visual Studio Code Desktop and upload changes to an instance using the ServiceNow software development kit (SDK).")
* [Developer Sandboxes](https://www.servicenow.com/docs/cmAu2U4eVVAUi0gYLZu5NA "Developer Sandboxes provide admins and delegated developers the ability to request, access, and manage individual sandboxes on top of the same underlying development instance. Delegated developers can write and merge code and configuration changes without the risk of their changes getting overwritten on the instance mid-development.")
* [Automated Test Framework (ATF)](https://www.servicenow.com/docs/PR2MtLiDA6Lfc0h~0YGIWA "The Automated Test Framework (ATF) enables you to create and run automated tests to confirm that your instance works after making a change. For example, after an upgrade, during application development, or when deploying instance configurations with update sets. Review failed test results to identify the changes that caused the failure and the changes that you should review.")
* [ReleaseOps](https://www.servicenow.com/docs/dr5ZGnrvn6lX6QHOqqUGSQ "ReleaseOps automates deployment of changes across your pipeline, increases predictability and reliability of deployments, and reduces the risk of releasing changes to production.")
{#servicenow-ai-sdlc__ul_czm_kps_4kc}

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](https://servicenow.github.io/sdk/guides/sdlc-guide).

