Why Every Platform Team Shouldn't Build Their AI Standards From Scratch

📰 Dev.to · Luigi Di Fraia

Learn why platform teams should avoid building AI standards from scratch and how to leverage existing solutions for efficient AI workflow implementation

intermediate Published 28 Apr 2026

Action Steps

Assess your platform's AI requirements using tools like AI workflow orchestrators
Research existing AI standards and frameworks for platform engineering
Evaluate open-source AI solutions for potential integration
Configure a proof-of-concept AI workflow using a pre-built framework
Test and refine the AI workflow with your platform's specific use cases

Who Needs to Know This

Platform engineering teams can benefit from this knowledge to streamline their AI workflow development and avoid unnecessary duplication of efforts

Key Insight

💡 Building AI standards from scratch can be inefficient and unnecessary, while leveraging existing solutions can save time and resources