What product looks like when coding is solved | Geoff Charles (Ramp CPO)

Product development velocity relies on identifying and removing systemic bottlenecks rather than simply increasing individual effort. Drawing parallels to Formula 1 racing, where success depends on the synergy between driver, vehicle, and team, modern product organizations must treat their development process as a "software factory." By automating tasks like customer insight gathering, product specification, coding, code reviews, and quality assurance, teams can shift human attention toward high-level strategy. At Ramp, implementing AI agents such as "Glass" for scoping and "Inspect" for coding has enabled non-engineers to contribute directly to the codebase, significantly accelerating output. Ultimately, product leaders should focus on building efficient, iterative systems that allow for rapid, high-quality delivery. Embracing constraints and continuously redesigning the development loop ensures that teams remain competitive and capable of delivering consistent value to customers at scale.