Gartner® Insights:
Why a low-code AI platform is critical

Discover our key takeaways on how low-code platforms are adapting
with AI assistants and agents to address evolving business demands.

Get Your Copy

Loading form
Submitting form
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
By submitting this form you consent to the processing of your personal data by OutSystems as described in our Terms and our Privacy Statement.
After submitting this form, you will receive an email with a link to download this content for future reference.

The future of app development is low-code AI

According to Gartner, nearly one-third of software engineering leaders report that over 50% of their teams now use AI tools to augment development workflows.

The rise of generative AI tools like AI code assistants and vibe coding platforms has led teams to question: Will AI agents replace your low-code application platforms (LCAPs)?

Gartner is clear: AI will enhance, not replace, low-code platforms.

The Essential Role of Low-Code AI Governance

How are low-code and AI working together without creating unmanaged technical debt?

“Generative AI (GenAI) introduces security, quality and compliance risks when used without oversight. Low-code platforms help mitigate these risks by providing governance mechanisms such as access controls, audit logs and built-in validation frameworks that can be extended to AI-generated components.”

OutSystems, the AI-powered low-code platform, enables customers to leverage the speed and power of GenAI and AI agents throughout the entire software development lifecycle. This partnership makes low-code development easier, lowers the barrier to entry, and accelerates time to value.

Access the full Gartner report, Why AI Won’t Replace the Need for Low-Code Application Platforms, to get the in-depth analysis and strategies you need to lead your team confidently.

Gartner® recommendations include:

  • Software engineering leaders should clearly distinguish between LCAPs and vibe-coding tools, a distinction often misunderstood, as both involve natural language input.
  • Choose low-code platforms for code abstraction, maintainability, and risk mitigation over vibe coding alone by limiting vibe coding to scoped, developer-supervised use cases, such as boilerplate generation, prototyping, or noncritical internal tools to reduce technical debt and mitigate business and security risks.
  • Enabling AI assistants in low-code platforms is not just about speeding up development, it's about unlocking scalable productivity gains, widening the contributor pool, and reducing developer effort on routine tasks.

Gartner, Why AI Won't Replace the Need for Low-Code Application Platforms, By Adrian Leow, Kyle Davis, 7 October 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.