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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.
Pulse 2.0 sat down with Tom Chavez to unpack super{set}'s unique approach to company building: conceive → co-found → build → scale alongside founders, with an operator-first culture.
Data privacy surged with GDPR and global laws—great for citizens, costly for businesses. Now AI-powered privacy tools are flipping the script: automating consent and preference management, mapping personal data across systems, dynamically adapting to new rules, orchestrating end-to-end DSR requests, and pre-flagging risks via automated PIAs. Compliance moves from manual, expensive, and brittle to faster, accurate, and auditable—turning privacy from a cost center into a competitive advantage that strengthens brands and deepens customer trust.
Over the past six months, ChatGPT’s new clickable links and search-style results have driven a surge in referral traffic, fueling rapid growth in Answer Engine Optimization (AEO), a trend expected to accelerate in the coming years. Are you ready? In fact are you alredy adopting SEO practices and making the necessary adjustments to make sure you customers and prospects can find you when they come looking. Whether you are educating or engaging, check out our marketer, Stéphane Le Mentec, director of demand generation at Ketch who knows a thing or two about AEO.
This VMblog Q&A with super{set} founding GP Vivek Vaidya explains how the studio builds AI-native enterprise companies by pairing capital with hands-on company building (engineering, GTM playbooks) and focusing on proprietary data as the core moat. It spotlights the $200M acquisition of Habu by LiveRamp (2024) as proof of the model, and details what they seek in technical co-founders, how they hard-wire governance/privacy from day one, and which enterprise workflows are ripe for AI over 2025–2030.
As a co-founder at Lucenn, an innovative AI Dev shop, Adrien Le Gouvello, a partner at super{set} gets to see how AI is automating and transforming all kinds of business processes daily. Not a software engineer, not an expert, but understands the requirements and functionality needed to create an effective coordination tool for Burning Man.
ARaaS is the next evolution beyond SaaS—businesses pay for outcomes, not just software features.
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