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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.
Why should a tech exec care about profit and loss? Aren’t our jobs to make the product great, and someone else can figure out how to make the numbers add up? That was my attitude for a long time until I finally appreciated the significance of gross margins for SaaS businesses during the early part of my tenure as the CTO of Krux.
Gal Vered is co-founder and Head of Product at Checksum (checksum.ai), an innovative company that provides end-to-end test automation that leverages AI to test every corner of an app. He sat down with Jon Suarez-Davis (jsd) to discuss the exciting problem that Checksum is solving with AI and what Gal likes best about working in super{set}'s startup studio model.
LiveRamp Enters Into Definitive Agreement to Acquire Habu, Reinforcing super{set}'s Unique Company Building Model of Founding, Funding, and Scaling Data+AI Businesses
How are immigrants like entrepreneurs? Peter Wang of Ketch arrived in the U.S. at age 7 with two suitcases and a box. Read his story in the latest "Pass The Mic."
Vivek Vaidya writes that America needs more H-1B workers. Common sense reforms to the program will even the playing field for startups, not Big Tech, to bring innovative talent to American's shores.
Tom Chavez writes in The Information that "OpenAI’s board needs a data ethicist, a philosopher of mind, a neuroscientist, a computer scientist with interdisciplinary expertise and a political strategist."
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