How Software Engineers and Students Use AI to Move Faster than Ever (without breaking things)
Full DevOps.com article here
Key takeaways:
- Be AI-native: design products and curricula around AI from day one.
- Guard the reasoning loop while exploiting automation.
- Agentic tools compress SDLC toil; humans own architecture & judgment.
- Adaptation > fear: skills shift, opportunity expands.
Tech, startups & the big picture
Subscribe for sharp takes on innovation, markets, and the forces shaping our future.
NEWS, BLOGS & ARTICLES
Let's keep in touch
We're heads down building & growing. Learn what's new and our latest updates.
Despite massive enterprise investment in AI, many initiatives fail — not because of the technology, but due to outdated organizational thinking. Peter Day, general partner at venture studio Superset, argues that companies treating AI as an IT project rather than a structural transformation are setting themselves up to fall behind.
.png)
Why do knowledge workers switch between apps over 1,200 times a day? Peter Day, super{set} General Partner explains in a keynote address how enterprise software got here and why AI-native experiences will finally replace fragmented workflows.
AI has reordered many basic functions and qualities of the Internet. Organic traffic decreased by 15-25%, 60% of searches now end without the user progressing to another destination — and 69% of B2B buyers choose a different vendor based on AI chats. The playbook is still being written. Are you ready to navigate the new AEO/GEO environment?