DEVOPSdigest

OutSystems announced the general availability (GA) of Mentor on OutSystems Developer Cloud (ODC).

Mentor, an AI digital worker, generates an application from a simple prompt or requirements document and automating the software development lifecycle (SDLC), including iteration and validation of existing applications.

Mentor integrates AI into the entire SDLC. Its agentic AI architecture orchestrates over ten distinct agents, collaborating and iterating across various components of application development to produce fully compliant, high-quality applications from natural language inputs or product requirement documents. Mentor frees up teams to focus on high-impact work, reducing development time and enabling faster responses to market demands.

“Mentor reimagines the software development lifecycle, bringing AI and low-code together to not only speed development, but also enhance the quality, explainability, and governability of software solutions,” said Paulo Rosado, CEO & Founder of OutSystems. “Strong results from our Early Access Program underscore the value that Mentor delivers—it is the safest and fastest way for organizations to build the next generation of enterprise applications.”

Use cases and results from early adopters of Mentor include:

- Rapid App Generation with Minimal Effort: A biotechnology company used Mentor to generate a functional prototype of an employee management application with 15 screens in just 20 minutes. This drastically reduced the time needed for initial prototyping, which would typically take a skilled developer several days, enabling faster alignment on business requirements.

- Prototyping Success Rates: An IT team from a biotechnology company also used Mentor to create a “Product Compare” application based on uploaded documentation, achieving 60-70% of the required functionality within minutes. Although workflows and UI refinements were needed, this saved significant time on Create, Read, Update, and Delete (CRUD) operations and initial application setup, allowing developers to focus on refining key business-specific features.

- Streamlining Workflow for Routine Tasks: Life science company Thermo Fisher tested Mentor on multiple projects, including a learning platform. The tool automated routine CRUD generation and created foundational components, eliminating repetitive manual work and enabling developers to concentrate on implementing advanced business logic.

- Achieving Quantifiable Value in Documentation Parsing: Professional services network KPMG reported that Mentor successfully parsed user stories and technical PDFs to auto-generate application components, saving up to 40-50% of the time typically required for manual entity and screen creation. This efficiency allowed teams to focus on strategic aspects of application design and performance optimization.