#BuildPropulsionLab at #DevoxxUK: @jbaruch with @sawantakshata02
summary
Argues that generative AI can call the API and produce concrete API designs, demonstrates using existing language models for API design tools, and shows how models help with drafts, examples and developer ergonomics. Claims models speed early iteration but are not yet reliable for locking a public, long‑lived API — mistakes can become permanent. Focus stays practical: which tools were used, simple demo flows, and a cautious verdict that AI helps prototypes but not final API contracts.
AI-written summary · about
related talks
31mThe Impact of AI on APIs: Can AI replace the API Architect?
26mAl and Software: The Good, The Bad, The Scary
20mLearning new skills with generative AI | AWS Developer Day 2025
59mBuilding #APIs in the #AI Era
27mHow AI is Transforming API Design: Case Studies & Insights
56mPANEL: Unleashing the Future: The Impact of Gen AI on Development Productivity
54mKeynote: AI-Powered App Development
22mLeading the future: AI and APIs, a powerful duo
