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How Software Engineers and Students Use AI to Move Faster than Ever (without breaking things)
The “AI revolution” is really augmented intelligence: humans + tools. super{set} backs teams that are AI-native—putting AI at the core, not as an add-on. For students, the risk is either over-relying on AI (and skipping fundamentals) or under-using it (and falling behind). Universities should teach both rigorous reasoning and modern AI workflows. For developers, agentic tools (e.g., Cursor, Copilot) turn one engineer into a mini dev team—automating boilerplate, tests, docs, and legacy audits—so humans can focus on architecture, edge cases, and creative problem-solving. AI won’t erase jobs; it shifts them, rewarding those who adapt. The near future belongs to builders who pair deep software craft with AI fluency.
This post was written by Ketch Solutions Engineer, Sahiti Surapaneni, as part of our #PassTheMic series.
When a VC decides to invest in a company, they write up a document called the “Investment Memo” to convince their partners that the decision is sound. This document is a thorough analysis of the startup...
In our last post, we discussed how data is the new general-purpose technology and that is why at super{set} we form data-driven companies from scratch. But new technologies are a promise, not a sudden phase change.
The wheel. Electricity. The automobile. These are technologies that had a disproportionate impact on the merits of their first practical use-case; but beyond that, because they enabled so much in terms of subsequent innovation, economic historians call them “general-purpose technologies” or GPTs...
Coming up with new company ideas is easy: we take the day off, go to the park, and let the thoughts arrive like butterflies. Maybe we grab a coconut from that guy for a little buzz. While this describes a pleasant day in San Francisco, it couldn’t be further from the truth of what we do at super{set}. If only we could pull great ideas out of thin air. Unfortunately, it just doesn’t work that way.
This post was written by MarkovML Co-Founder, Lindsey Meyl, as part of our #PassTheMic series.
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