Debt Destroyer: AI Mentor Studio on Outsystems
Technical debt is a growing challenge for businesses today. It results from poor decisions during development, leading to higher costs, slower updates, and potential security risks. While rapid development offers immediate benefits, accumulated shortcuts and outdated systems can hinder long-term agility and innovation. For leaders, it’s important to tackle this issue to stay ahead.
OutSystems, leading low-code platform, offers a smart solution with its AI Mentor Studio. Available on OutSystems 11 Reactive and OutSystems Developer Cloud (ODC), this AI tool helps improve code quality and reduce technical debt. By using AI Mentor Studio, businesses can speed up development, cut maintenance costs, and deliver better software. Investing in OutSystems is a step towards a more efficient, future-proof business.
Understanding AI Mentor Studio
AI Mentor Studio is a key part of OutSystems AI Mentor System—a suite of tools designed to improve app quality and maintainability. Acting like a virtual senior software engineer, it guides developers through the entire software development process. With real-time insights and automated code reviews, AI Mentor Studio ensures apps meet top standards for security, performance, and maintainability.
How Does AI Mentor Studio Help?
- AI-Driven App Generation: Builds full-stack, scalable apps in minutes, minimizing technical debt from the start.
- AI-Powered Suggestions: Provides continuous app updates, reducing the need for major fixes down the line.
- Embedded AI Agents: Adds natural language understanding to apps, simplifying UI/UX and cutting down complexity.
- Code Validation & Quality Control: Automatically checks code for security, performance, and maintainability, addressing potential issues early.
By using AI Mentor Studio, businesses can create better, more efficient software while reducing long-term maintenance costs.
Limitations of AI-Only Approach
- Prioritization Needs Oversight: AI detects issues but requires human input to prioritize fixes based on business impact.
- Policy Framework Required: Organizations must define acceptable debt levels and guidelines, which AI cannot create.
- Contextual Decision-Making: Human judgment is essential for project-specific trade-offs that AI may not fully understand.
- Cultural Development: Human leadership fosters a quality-driven culture, encouraging developers to adopt best practices.
What do the IT Leaders Say
OutSystems Co-founder & Chairman Paulo Rosado puts it, “Our platform ensures apps are built right from the start, tackling issues like orphaned code, poor-quality outputs, and lack of transparency.”
Mark Gibson at KPMG: “Advises ‘super targeted, proactive investments’ and quick course corrections for legacy tech, including code debt. He notes that 57% of organizational leaders report weekly disruptions from IT system flaws and recommends using logs and surveys to identify priorities, which can be supported by AI tools like AI Mentor Studio for real-time analysis.”
Bobby Cain, SVP and CIO at Schneider Electric: “Has set a specific target to cut legacy tech by 12% by the end of 2025, using a systematic approach involving cataloging, measuring, prioritizing, and mapping actions to drive change. This structured strategy aligns with AI Mentor Studio’s role in providing actionable insights for debt reduction.”
Strategic Investment in OutSystems
Investing in OutSystems, especially with AI Mentor Studio, is a smart choice for both business leaders and technical teams. For C-level executives, it means lower costs, faster innovation, and better-quality applications that drive success. For tech teams, the platform’s automation, real-time feedback, and built-in best practices improve productivity, enhance code quality, and make maintenance easier.
Recommendations
Combine AI Mentor Studio with human oversight, clear policies, and continuous learning to effectively manage technical debt and ensure sustainable software development.
