The Problem Most OutSystems developers learn best practices by reading documentation or watching tutorials. That's fine, but there's a gap between knowing what best practices are and actually applying them under pressure on real code. There's no structured, hands-on way to practice refactoring, security hardening, or architecture fixes within the OutSystems ecosystem. You either learn on production apps (risky) or you don't get to practice at all. The Idea Extend AI Mentor to include a "Practice Mode", a generator that deliberately creates imperfect OutSystems applications for developers to find and fix. AI Mentor already understands OutSystems best practices deeply. The idea is to flip that knowledge: instead of pointing out what's wrong in your app, it builds a training app that already has the problems baked in, and challenges the developer to find and resolve them. This is not about AI completing the work. It's about AI leaving the right kind of mess, on purpose. How It Works — Three Stages Stage 1 — Foundations (5 issues) Easiest tier. Designed for developers new to OutSystems best practices. Typical issues: unused variables, missing indexes on foreign keys, hardcoded values that should be site properties, public actions that should be internal, missing NullIdentifier() checks. Stage 2 — Intermediate (10 issues) Mid-tier. Developers need to think about architecture and maintainability. Typical issues: logic inside Preparation that belongs in a Server Action, missing input validation, exposed sensitive data in REST APIs, poor naming conventions, N+1 query patterns, missing error handling in integrations. Stage 3 — Advanced (15–20 issues) Senior-level challenge. Security, performance, and architectural decisions. Typical issues: SQL injection surface areas, missing role checks on screens and actions, exposed system entities, broken session handling, unoptimized aggregate fetching, tight coupling between modules, missing audit trail logic, improper use of client-side vs server-side logic (maybe bpt and tenant optimization and error handling too). Goal is simple do that changes remove error, remove warning and publish the application. Why This Works The value isn't in the generated app itself — it's in the deliberate, structured imperfection. Developers get a realistic codebase with real OutSystems patterns, real module structures, and real antipatterns to hunt down. AI Mentor can then serve as the referee: once the developer believes they've fixed the issues, AI Mentor reviews the app and confirms whether each problem has been correctly resolved — closing the feedback loop without giving away the answers upfront. Expected Outcomes - Developers build muscle memory for catching common OutSystems antipatterns - Junior developers have a safe, structured environment to level up - Teams can use Stage 3 as a pre-promotion or onboarding assessment - OutSystems certifications could eventually reference this as a practical preparation tool Summary AI Mentor already knows everything that's wrong with your app. Let it build an app that's wrong on purpose — and teach developers by making them fix it. Stage 1: find 5. Stage 2: find 10. Stage 3: find 15–20. Learn by doing, not by reading.

A centralized Developer Cheat Sheet for OutSystems Developer Cloud (ODC) would greatly help both new and experienced developers quickly understand and adopt the platform. Similar to the existing O11 cheat sheet, this should provide a concise overview of key ODC concepts, architecture, development flow, best practices, and differences from O11. It would serve as a quick reference guide to help developers ramp up faster and become productive in ODC projects with minimal learning curve. This resource would be especially useful for: New developers getting started with ODC Experienced O11 developers transitioning to ODC Teams looking for a quick refresher on core concepts Providing such a cheat sheet would improve onboarding efficiency, reduce confusion, and accelerate project delivery within the ODC ecosystem.

The new 1-Click Publish With Message is a good idea, but to be useful, it needs improvements. 1. It should have the ability to hide the normal 1-Click Publish to force messages, or some other way to enforce this 2. The last message should automatically populate a new publish, or maybe a dropdown with the last 5 or so messages.

I have two instances of Service Studio open, each connected to a different environment. When I do a 'Find Usages' on an element from Module A that is used in Module B (where Module B is only open in the other instance/environment), it points me to that other instance and it doesn't bring that Service Studio instance into focus. My idea is that Service Studio should open the module in the current instance instead, especially when the environments are different.

Hi Outsystems teams, Since the OS charing static entity for 1 AO, to save some cost for clients, in many projects, we hardly use static-entity even though it should use Static-entity for many purposes. We need to use alternative ways to implement the static concept, like using structure, hardcode... This led the development become more complex in design, implement, and more hard-code used, but we can't spend 1 AO for just 5 records stored in static-entity like status, type, etc... Actually many projects opened just to Delete all static entity from the code to save cost. From begining we've learnt how to use Static entity, and in real project we need to learn how to not use Static entity to save AO, this make static entity very dead. Can Outsystems consider to lower the price of AO somehow like count it 1 AO = 3 or 4 static entity, or consider make it free if there are < 10 record store in static entity, this would be a great thing for Outsystems developers and clients. Thanks :)

Be able to create a unit test for a Server / Service / Client (?) / Screen (?) action that shall be executed without developer intervention, for regression purposes.

Adding Native Semantic Search capabilities within the OutSystems platform. This would allow developers to implement search features that understand the user's intent and the contextual meaning of their queries. Key Features: Vector Embedding Support: Built-in capability to generate and store vector embeddings for database records directly within the platform. Natural Language Queries: Users can search using phrases like "fresh products near me" instead of specific product names, and the system should understand the intent. Multilingual Semantic Search: Since many apps are regional, the search should understand queries in local languages like Malayalam and map them to relevant results even if the keywords don't match exactly. AI Orchestrator Integration: Seamless integration with OutSystems AI Orchestrator to leverage models like Google Gemini or OpenAI for retrieving search results. Why it matters: Integrating semantic search will revolutionize how users interact with data in OutSystems apps. It improves user experience by providing more relevant results, which is critical for the success of systems.

Create a system action in ODC where a message can be logged to the error log. LogMessage will log a message to the general log. O11 has the AsynchronousLogging extension that has a LogError action, but ODC does not. In ODC, an application can log to the error log by throwing an exception. However, there are occasions when the application needs to continue processing. In this scenario it would be useful to log a message to the error log and continue operation.

Since we have the 1-Click Publish with Message, it would be great if we can set by default in settings, where Mentor to generate the message for us based on the changes made from previously published version.

Service Studio already ships with a powerful but underdocumented headless execution mode. Through hands-on reverse engineering, we have confirmed and validated the following commands: -d (diff), -refresh, -u, -uu, -exportSettings, -importSettings, -cleanup, -removeChangeTracking, -runTests, -export, -import, and -silentrecover. These existing commands prove that Service Studio is architecturally capable of running fully headless, without opening a GUI. This proposal builds on that foundation to request ten new CLI commands that would unlock: AI-powered codebase analysis on .oml files without a running GUI CI/CD pipeline integration via GitHub Actions, Docker, and Linux environments Automated dependency management, publishing, and solution creation Programmatic introspection of modules, applications, elements, and SS_Keys These requests do not change the OutSystems platform concept or runtime. They expose what the IDE already does — through a command-line interface that can be scripted, automated, and run in containers. Proposed New Commands 1. ss list-apps — List Applications with Names and SS_Keys Problem: There is no headless way to enumerate the applications available on a server, along with their SS_Key (the GUID used by servicestudio:// deep links and LifeTime APIs). 2. ss list-modules — List Modules with Names and SS_Keys Problem: Modules are the atomic unit of development in OutSystems, but there is no headless way to enumerate them with their SS_Key GUIDs — the identifiers required for servicestudio:// protocol links and element navigation. 3. ss check-deps — Verify Module Dependencies Before Publish Problem: Before publishing a module, a developer needs to know if its dependencies are up to date, or if a producer module was published with breaking changes. The current workflow requires opening Service Studio, navigating to "Manage Dependencies," and manually inspecting each reference. There is no headless equivalent. 4. ss publish — Publish a Module Problem: There is no headless command to publish a module to a server. The current workflow requires opening Service Studio and clicking "1-Click Publish." This blocks full CI/CD automation. 5. ss republish — Republish a Module (Service Center Style) Problem: Service Center provides a "1-Click Publish" that recompiles and redeploys a module using its last published OML source, without requiring the source file on disk. This is critical for environment redeployments, disaster recovery, and CI/CD rollbacks — but it has no CLI equivalent. 6. ss list-elements — List All Elements of a Module by Name and SS_Key Problem: To use the servicestudio:// deep link protocol (e.g., to link directly to a specific action from a CI report or an AI analysis tool), you need the SS_Key of the element. Currently, the only way to get element keys is through direct database access or by reverse engineering internal API calls. 7. ss add-action — Add a Simple Action Using a Mermaid-Style Flow Definition Problem: Creating a simple server or client action in Service Studio requires opening the GUI, navigating to the correct module, and manually building the flow. For repetitive, pattern-based actions (logging, error handling, standard API calls), this is a barrier to AI-assisted code generation. 8. ss for Linux — Docker and GitHub Actions Support Problem: Service Studio is currently only available for macOS and Windows. This means CI/CD pipelines running on Linux (the default for GitHub Actions, GitLab CI, and most Docker containers) cannot use any Service Studio CLI commands. This is the single biggest blocker for full OutSystems DevOps automation. Request: Provide a headless Linux build of Service Studio — or a dedicated CLI package — that supports the full set of headless commands (existing + proposed) on: Ubuntu 22.04 / 24.04 (standard GitHub Actions runners) Alpine Linux (Docker optimization) Debian-based containers 9. ss delete-unused-refs — Delete Unused References from a Module Problem: Over time, modules accumulate references to producers that are no longer used — dead imports that slow down compilation, add maintenance overhead, and generate noise in -refresh / -u verification output. Service Studio can detect these via "Manage Dependencies," but there is no headless way to auto-clean them. 10. ss create-solution — Create Solutions Programmatically Problem: Solutions in OutSystems are the primary vehicle for managing and deploying groups of modules across environments via LifeTime. Creating and maintaining solutions is currently only possible through the Service Center UI. For teams managing complex multi-module deployments, the lack of a CLI solution creator is a significant DevOps gap. Why This Matters: The AI Analysis Use Case The combination of -listModules, -listElements, and the existing -d (diff) enables a use case that is currently impossible: AI-powered static analysis of OutSystems codebases without a running GUI. Current Gap: To analyze an OutSystems application with AI today, a developer must: Manually open each module in Service Studio Navigate through hundreds of screens, actions, and flows Copy/paste relevant information into an AI tool The AI agent can then generate a report like: "Action IsElegivelAntecipacaoDZero (key: 11ea244a-...) accesses the server on every screen load. Consider moving this to an Aggregate with proper caching. → [Open in Service Studio](servicestudio://-downloadAndOpen -eSpaceKey 6acebf97-... -elementKey 11ea244a-... -url bin.dev.myenvironment.com)" This is only possible if -listElements exposes SS_Keys in its output. Summary We are requesting 10 new headless CLI commands for Service Studio, with Linux support as the foundational requirement for CI/CD automation. The existing headless CLI (-d, -refresh, -u, -exportSettings, etc.) proves the architecture is ready. These new commands extend that foundation to cover the full development lifecycle — from introspection and dependency management, to publishing, solution creation, and AI-powered analysis. The OutSystems platform is already exceptionally powerful. These commands make that power accessible to modern DevOps and AI tooling workflows, without changing a single line of platform behavior.