Revolutionizing Code Development with AI: Seeking Insights!
Imagine a system where AI proposes code or test changes, but execution depends solely on validated metrics. This innovative concept aims to ensure quality through rigorous testing before any deployment.
Key Features:
- AI-Driven Proposals: Get intelligent suggestions for code or test modifications.
- Real Metrics Evaluation: Every change is assessed against clear goals using before-and-after metrics.
- Continuous Improvement Loop: The system only progresses if actual results enhance performance.
Concerns Raised:
- Could it become overly complex or slow?
- Is it only practical for a niche audience, like infra or robotics?
I seek blunt feedback from those who have built real systems. Where do you see potential pitfalls? What could lead you to discontinue use within a week?
Join the conversation and help refine this concept. Your experiences are invaluable! Let’s discuss below!
