What happens when a single developer, supported by AI, delivers the same output as entire teams?
In this session, I present the EventFlow case study, where one developer practicing Augmented Development (aDevelopment) produced 696 commits and 23K net lines of code in less than two months, achieving results comparable to multi-developer projects with up to 83% cost reduction and 500% ROI.

But this is not only about speed. The effectiveness of aDevelopment is directly proportional to the maturity and experience of the developer. For senior professionals, AI becomes a true force multiplier. For inexperienced teams, the impact may be reduced—or even negative, leading to technical debt or poor design choices.

Join me to explore the data, the business case, and the human factor behind aDevelopment, and why this paradigm may redefine the way we build software in the AI era.