What features could OutSystems add to its AI-powered development assistant to increase productivity for experienced developers?

Introduction

To increase productivity for experienced developers using OutSystems' AI-powered development assistant, we need to identify and implement features that streamline their workflow, enhance code quality, and leverage AI capabilities effectively. I'll analyze the current state, user needs, and potential improvements to propose strategic enhancements.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking OutSystems' AI assistant might be in a competitive space with other low-code platforms. Could you share insights on our market position and primary differentiators?

Why it matters: Determines if we focus on unique AI capabilities or general productivity features Expected answer: Strong in enterprise market, differentiated by AI-driven code suggestions Impact on approach: Would emphasize advanced AI features tailored for complex enterprise scenarios

• Considering the focus on experienced developers, I'm curious about their current usage patterns. What percentage of our experienced developers actively use the AI assistant, and for which tasks do they find it most valuable?

Why it matters: Helps identify areas of high impact and potential underutilized features Expected answer: 70% adoption, primarily used for code generation and refactoring Impact on approach: Would prioritize enhancing high-value features and increasing adoption of underutilized ones

• Given the rapid advancements in AI technology, I'm wondering about our AI model's current capabilities and limitations. What specific AI technologies are we using, and are there any areas where developers frequently encounter limitations?

Why it matters: Identifies technological constraints and opportunities for improvement Expected answer: Using GPT-based model, limitations in understanding complex business logic Impact on approach: Would focus on enhancing AI's comprehension of domain-specific patterns and logic

• Thinking about the broader OutSystems ecosystem, how does the AI assistant currently integrate with other tools and workflows in the platform? Are there any pain points in this integration?

Why it matters: Determines if we need to focus on standalone features or improved ecosystem integration Expected answer: Basic integration exists, but developers often switch contexts Impact on approach: Would prioritize seamless workflow integration across the platform