Top 0.8% Cursor User: How SCAILE Leverages AI for Development

A $50K Bet on AI-Native Development

When Cursor released its year-in-review stats for 2025, SCAILE co-founder Federico De Ponte discovered he ranked in the top 0.8% of users globally. The number behind that ranking is equally striking: over $50,000 spent on AI coding tools across the year.

For most companies, that figure would raise eyebrows. For SCAILE, it represents a deliberate strategy - one that has allowed a small team to ship products at a pace that would typically require a much larger engineering organization.

AI as the Development Team

SCAILE has embraced AI coding assistants not as supplementary tools but as core members of the development workflow. Cursor, along with other AI-powered development environments, serves as the primary interface through which the team builds, tests, and iterates on products.

The results speak for themselves:

• Multiple open-source tools shipped in a single year, from web scrapers to design generators
• Rapid prototyping that compresses weeks of traditional development into days
• Lower headcount requirements, allowing the company to allocate resources toward strategy and client work instead of large engineering teams
• Continuous iteration, with AI agents handling refactoring, testing, and documentation alongside feature development

What Top 0.8% Actually Means

Ranking in the top tier of Cursor usage is not just about volume - it reflects a team that has integrated AI coding deeply into its daily operations. Federico describes the workflow as conversational: rather than writing specifications and handing them to developers, he works directly with AI agents to build, review, and deploy.

This approach has shaped SCAILE's identity as an AI-native company. The team does not merely advise clients on AI strategy - they live it internally, using the same tools and methods they recommend to others.

The Broader Implication

SCAILE's investment in AI development tools points to a larger trend. As AI coding assistants become more capable, the economics of software development are shifting. Small teams with deep AI fluency can now compete with organizations many times their size. For SCAILE, the $50K spent on AI tools in 2025 was not an expense - it was the infrastructure that made everything else possible.