Building reliable apps with Mentor from OutSystems

To build reliable enterprise software, organizations have to steer toward Grounded Agentic Development. Think of it as having an AI Co-Developer who understands your company’s rules, systems, and coding style on day-one. It works safely within your guardrails, operating under constant human supervision, and always asking its human guide for final approval.

Enter OutSystems Mentor

OutSystems built Mentor to bring this level of speed and structural control to your entire delivery cycle across three operational pillars:

• Grounded AI: Inherits complete system awareness via the Enterprise Context Graph to eliminate generic code guessing.

• Built-in governance: Provides real-time quality gates and traceability to keep your developers in the driver's seat.

• Unified experience: Merges app generation, evolution, and validation into a single platform.

The three layers of Mentor

Mentor wraps the raw speed of AI-assisted development into a controlled, enterprise-grade ecosystem across distinct operational layers:

• Generate: App generation: Turns natural-language requirements into fully functional visual blueprints, scaffolding screens, logic, and data entities in minutes while you maintain full structural control.

• Architect: In-IDE chat: Lets you discover, plan, and execute context-aware code changes through an interactive assistant right inside the OutSystems Developer Cloud (ODC) Studio workspace.

• Validate: Code quality - Conducts automated, real-time code reviews and sanity checks inside the ODC Portal to ensure all changes match your corporate baseline before deployment.

Embedding quality across the SDLC

Many AI tools are little more than single-shot code widgets. By contrast, Mentor is an active advisor sitting on top of an enterprise application generation engine perfected over 25 years. Mentor embeds itself across every phase of the software delivery lifecycle as a continuous quality gate. It translates raw initial ideas into brand-aligned blueprints during discovery and automates code reviews at deployment. Mentor also systematically targets technical debt during maintenance. The system ensures that rapid delivery never comes at the expense of structural control throughout the process.

To see exactly what this looks like in the trenches, let's look at a week in the life of a fictional lead developer, Danni Delonghi.

Meet Danni

Danni is a developer with over 12 years of experience. Working right at the heart of her company's software factory and Center of Excellence (CoE), she is the ultimate technical unblocker. She keeps several complex projects running smoothly while making sure nobody breaks the company's coding rules.

Danni’s week - Monday

The industry challenge: The requirements-to-code bottleneck

The journey from business requirements to a functional visual blueprint is commonly plagued by miscommunication. Traditional scaffolding gets teams halfway, but translating natural language business needs into standard, brand-compliant application flows takes days or weeks of manual work.

The situation

Danni is in the middle of a complex refactoring session, her fingers absentmindedly toying with a Rubik’s cube as she mulls over the structural requirements. A high-priority DM from the solution architect breaks her focus.

The task: Conversational app generation and validation

Instead of manually dragging and dropping widgets in an IDE, Danni opens Mentor App Generator. Using this agentic experience, she can feed raw requirements or product specification documents straight into the platform.

Crucially, Mentor doesn't perform a blind, immediate generation. It operates through the following guardrails to proceed safely:

• Conversational clarification: Instead of a single-shot prompt execution, Mentor engages Danni in a conversational loop, asking clarifying questions to resolve ambiguities before building.

• Pre-generation visual blueprints: Mentor displays a map of the proposed screens, data entities, relational dependencies, security roles, and workflows. Danni can adjust and optimize the blueprint before a single element is effectively generated.

• Branding and theme matching: Mentor analyzes specifications to detect corporate styling parameters and dynamically constructs a tailored design theme out of the box. Danni can explicitly change and lock in her application Theme, and Mentor will validate Theme compatibility before generating to guarantee a flawless UI from day one.

The takeaway

Mentor mapped out the intent, automatically scaffolding full-stack screens, server actions, data entities, and proper role-based permission settings across the active application layers in a matter of minutes.

By blueprinting the full application before generating any model, the engine guarantees that all logic flows, database entities, and screen layouts fit cleanly into Danni’s OutSystems factory on the first pass. Danni 1-Click Publishes the working MVP straight to her development environment before she can even finish solving her Rubik's Cube.

Danni’s week - Tuesday

The industry challenge: Tribal knowledge and onboarding friction

In large enterprise factories, onboarding developers to complex application architectures requires significant time and energy. Outdated documentation and hidden dependencies between modules create an immediate bottleneck. Teams lose velocity trying to map how data entities interact before creating their first flow of visual logic.

The situation

Danni takes a quick breather, coffee in hand, as she reviews the team’s latest architectural changes. The morning quiet is interrupted when her Project Manager pings her: "We have 2 new team members..."

Danni looks at the core application modules. They contain an intricate maze of legacy aggregates, server actions, and deep entity relationships.

The task: Zero-time discovery

Danni uses Mentor's foundational context tracking. Because it houses a persistent understanding of the local factory dependencies via the Enterprise Context Graph, it can reverse-engineer a comprehensive architectural map on command.

Instead of drowning in the visual model, Danni launches OutSystems Mentor directly in ODC Studio to establish immediate situational awareness. First, she uses Mentor's conversational discovery feature to create the Executive Blueprint of the app in plain language:

Prompt - Executive Blueprint:This prompt generates a concise, business-focused summary of the application’s purpose, features, and value.

Next, she hands Mentor a strict template to output a comprehensive Technical Onboarding Blueprint for her new team members:

Prompt - Technical Onboarding Blueprint:This prompt compiles a structured technical guide to help new developers quickly understand the application's architecture, data models, and key flows.

The takeaway

Mentor targets the core banking components, translating them into a precise, jargon-free breakdown that infers the underlying business context and user needs. In minutes, it highlights how primary data flows, deep entity structures, and reusable UI blocks map directly to actual business operations.

By matching the live factory dependencies directly against a predefined organizational template, the assistant eliminates manual navigation fatigue and ensures that the resulting architecture playbook maps out critical logic patterns with zero-time discovery overhead.

Danni drops the clean documentation file right into the team's onboarding channel, completely avoiding the typical multi-day hand-holding phase. She shows newcomers how easy it is to interact directly with Mentor to discover applications from both a high-level functional perspective and a deep technical level. They can start building immediately.

All before her morning coffee even has a chance to get cold.

Danni’s week - Wednesday

The industry challenge: The velocity vs. quality trade-off

When sprint windows constrict, quality assurance is often the first element sacrificed. Manual code reviews are inherently subjective and error-prone under the heavy pressure of deliveries. Subtle gaps slip past to other environments, resulting in production glitches later.

The situation

Danni has just pushed the Core Services for the loan submission process to a staging environment. She takes a deserved and necessary breather from a high-intensity sprint and grabs a controller to decompress. Suddenly, her email alerts her to an urgent message from the Engagement Manager: "I need you to ensure this sprint’s delivery is flawless."

The pressure to check the running application quickly and mark the task as complete is high.

The task: The in-IDE pair programmer and diff review

Danni opens Mentor in ODC Studio. Mentor acts as her conversational pair programmer, fully inheriting the systemic context from Monday's app generation loop. She never has to explain her baseline logic goals from scratch.

She targets her active action flows with a User Story Verification prompt, matching her visual logic and variables directly against the functional user story acceptance criteria:

Prompt - User Story Verification:This prompt directs the AI to audit the code against the user story's acceptance criteria and flag logic errors.

Mentor acts as a precise code auditor, validating her actual implementation directly against her original intention (the User Story and its Acceptance Criteria). This instantly shifts quality assurance to the left, flagging a critical edge-case discrepancy much sooner than the traditional QA process would. Her data submission flow lacks an explicit If condition for zero-value credit assessments.

To repair it safely, Danni issues a Direct Remediation prompt right within the chat panel:

Prompt - Direct Remediation:This prompt instructs the AI to apply the necessary code fixes automatically while ensuring existing logic and visual elements remain intact.

Mentor calculates a localized structural update and generates a visual diff (Proposed Changes vs. Current Canvas). Danni inspects the new conditional branches, accepts the changes, and 1-Click Publishes the app. She watches the platform safely update the visual logic with absolute deterministic accuracy.

Note: If you want to see exactly how Mentor does it, check out this cool demo. Danni declined to be in this video because she was getting ready for the ONE Neo Party at HEINEKEN in Amsterdam, so co-author Jeremy stepped in for her.

The takeaway

Mentor injects the validation branches in the ODC Studio editor smoothly, resolving the unhandled zero-value edge case without breaking dependent logic flows or generating deployment errors.

By analyzing the active variables alongside the user story's acceptance criteria, Mentor acts as a deterministic quality gate right inside the IDE. It eliminates the subjectivity of human reviews and catches hidden defects before anyone even publishes.

Danni accepts the proposed changes, hits 1-Click Publish, and flags the task as officially complete. She’s pushed a thoroughly vetted, production-ready build to her development environment with absolute peace of mind, all before she even finishes the first half of her match.

Danni’s week - Thursday

The industry challenge: Technical debt tax

Functional features are only one side of the coin. Scaling an enterprise footprint means injecting baseline compliance:

• CRUD abstraction layers

• Unified exception handling

• Clear documentation

• Logging

• Automated testing

Implementing these standards directly into the Factory Foundation Layer delivers a massive bang for the buck. It creates an exponential ripple effect where every downstream app and library inherits elite reusability, security, and architectural consistency out of the box.

Enforcing these standards manually, however, requires hundreds of repetitive clicks, significantly reducing velocity.

The situation

Danni is deep into a library audit, organizing the Factory modules to clean up dependencies. The Factory Architect pings her, ready to kick off the governance enforcement session.

Danni needs to ensure Technical Foundations are consistent and follow best practices

Data access isolation

• Goal: Enforce a Zero Trust data layer, preventing direct table writes/reads to protect data integrity and multi-tenancy boundaries.

• Directive: Build secure CRUD wrapper actions (Data Abstraction Layer) for all local Entities, restricting direct database access.

Logging and errors

• Goal: Build a resilient, fault-tolerant architecture that isolates global failures automatically and prevents cascading application downtime.

• Directive: Inject standardized Exception Handler flows and Global Exception Handlers into all custom logic.

Observability and telemetry

• Goal: Achieve full-stack proactive monitoring, streaming real-time performance metrics and transactional contexts directly to operations dashboards.

• Directive: Wire up custom Log Actions and structural instrumentation inside long-running Processes (BPT) and heavy server actions.

Test automation

• Goal: Shift-left testing with full regression coverage, ensuring continuous integration pipelines can validate core logic with zero manual overhead.

• Directive: Build automated test suites utilizing BDD frameworks and expose secure REST API endpoints specifically for integration validation.

The task: Factory Standards Batch Automation

She initializes the Factory Standards Batch Automation prompts, using Mentor to methodically apply her governance requirements - Data Access Isolation, Standardized Logging & Errors, and Test Automation suites - across the application

‍Prompt - Data Access Consistency WrappersThis prompt builds structural abstraction over local storage or entities to guarantee uniform transaction logic and logging execution.

Prompt - Standardized Logging and Exception Handling

‍This prompt infuses programmatic error defenses and unified logging hooks into all non-scaffolded elements of your logic

Prompt - Self-Documenting Layouts and Comments

‍This prompt transforms hard-to-read code into clean, self-documenting visual logic blocks with consistent layout spacing

Prompt - Automated Telemetry Instrumentation

This prompt automatically drops structured instrumentation checkpoints directly into workflows to seamlessly stream platform logs to external tools such as Datadog, Splunk, or Azure Monitor.

Prompt - Automated Testing Harness and REST Endpoints

‍This prompt generates regression frameworks - including test server configurations, REST endpoints, and UI runners

Prompt - Verification of changes

‍This prompt verifies that the desired changes have been implemented in the application.

Pro-tip: The "all-in-one" execution pattern

Instead of running separate prompt cycles for each governance domain (which racks up unnecessary back-and-forth latency), Danni uses an optimization. This is a single, unified compliance run.

She drops the entire blueprint criteria right into the chat panel in one go. Mentor parses her application model holistically. It simultaneously wraps her Entities, cleaning up the Exception Handler flows, wiring up custom Log Actions, and generating the required REST endpoints for test automation concurrently.

The takeaway

Mentor applies the corporate compliance blueprint consistently across the application, refactoring a massive foundation layer in under 13 minutes.

By evaluating her Entity schemas, Exception Handler flows, and custom Log Actions simultaneously rather than running individual updates in linear isolation, the engine reduces processing overhead and visual staging steps.

Danni completes an otherwise brutal, day-long manual configuration checklist in a fraction of the time, keeping her software factory fully compliant while setting her schedule up beautifully for a day of focused work.

Danni’s week - Friday

The industry challenge: The late-week deployment roulette

In traditional software delivery models, Friday afternoon is practically synonymous with high anxiety. Even with meticulous planning, manual governance checklists can easily create bottlenecks under tight deadlines. As a result, delivery teams either rush their deployment pipelines or brace themselves for a weekend of hotfixes when hidden bugs slip into production.

The situation

It’s 3:30 PM on Friday. Right at her desk, Danni is already mashing mint leaves and preparing an office-hours mojito while her application finishes passing through the deployment pipeline and concludes its automated test suites.

She drops a handful of ice into the glass just as her phone pings with an unexpected notice from the Engagement Manager:

Danni is confident that her work with Mentor was flawless - the weekend will begin shortly

The task: Automated verification alignment

Instead of spending her final office hours sweating over deployment logs or micro-managing test scripts, Danni relies on the rigorous automation gates she set up earlier in the week. Because Mentor systematically audited her visual logic on Wednesday and batch-executed factory compliance rules on Thursday, her application is airtight. She’s in calm standby mode while the platform handles the heavy lifting.

The takeaway

Minutes later, the definitive project management sign-off lands in her inbox:

Danni’s work is done for the week - she is now OOO and living her best life

The Agentic Systems Engineering lifecycle

By looking at Danni’s week, we can see how an intentional framework of Agentic Systems Engineering operates across the entire software delivery lifecycle:

• Monday (conversational app generation): Turned raw text requirements into a production-ready application with a built-in enterprise theme—allowing Danni to validate the visual application model before a single element was even published.

• Tuesday (context-aware app discovery): Eliminated tribal knowledge by instantly reverse-engineering an intricate legacy application into clear onboarding blueprints.

• Wednesday (conversational co-development): Acted as an objective, shift-left quality gate inside ODC Studio, catching unmet acceptance criteria and edge cases during development time.

• Thursday (batch automation): Bundled complex factory rules (CRUD isolation, exception flows, telemetry) into a single, unified compliance run to upgrade the Factory Foundation Layer at double the speed.

• Friday (Continuous quality gate lifecycle): Paid off completely, clearing final deployment pipelines with zero defects and securing a seamless weekend release.

Because Mentor handled the heavy lifting, 3:30 PM Friday doesn't find Danni trapped at her desk fighting hotfixes. Instead, she’s already at a beach bar, after trading her office attire for casual clothes and shades.

With a cocktail in hand, looking completely happy and rested, Danni is officially OOO!

Closing thoughts

Scaling delivery speed must not come at the expense of quality and governance. To implement a successful, reliable AI-assisted development process across your technical teams, anchor your approach with these core pillars:

• Eliminate discovery friction: Leverage context-grounded summaries via the Enterprise Context Graph to reduce application onboarding times from days down to minutes.

• Enforce objective quality gates: Mandate thorough Mentor-assisted reviews of implementation vs intended functionality (Code vs User Story) to catch logical gaps right inside the IDE before anyone ever clicks publish.

• Automate structural governance: Pass repetitive factory compliance requirements to automated batch routines to ensure secure CRUD wrapper actions, standardized exception flows, and telemetry configurations across your Factory Foundation Layer.

• Optimize processing efficiency: Consolidate multiple discrete rules into unified, holistic evaluation cycles to maximize model processing efficiency and dramatically reduce execution latency across the visual application model.

Share this article with your team to help them understand how to achieve speed with control using Mentor!

Hope you enjoyed the read!

Next Steps: Moving from chaos to control

To explore how you can empower your teams with context-aware automation while enforcing structural compliance across your pipeline, take your next step today:

For Developers and Tech Leads

• OutSystems Developer Cloud - Explore the cloud-native, high-performance low-code foundation that unifies rapid application generation with automated safety gates.

• Building Reliable Apps with Mentor (OutSystems ONE 2026) - Access the on-demand ONE session this article was based on and see how to use Mentor to achieve speed with absolute control.

• Deep dive into Mentor and its capabilities - Generate, Architect, and Validate

For IT Executives

• Scaling a Mentor-first Development Model (OutSystems ONE 2026) - Watch this strategic conference session to learn how to transition your organization to an intentional, governed framework with Mentor.

Disclaimer: These prompt design patterns were introduced and validated live at the OutSystems ONE 2026 Conference. Because every enterprise architecture has unique requirements, you should always test, adapt, and refine these prompts within a development environment before running them within your production agentic apps.