Technology
The constraint We served 8 enterprise clients with different compliance requirements, different business logic, and different quality standards. And, our Product, Design & Engineering (PDE) team was two people, Prashant and I. No QA team. No SRE. No engineering manager reviewing pull requests. Every line of code that reaches production
Talk
This post documents latency and scaling behavior of Rapida under sustained concurrent voice traffic. The intent is to show how the system behaves under realistic production conditions rather than demo workloads. Rapida is an open source voice orchestration system designed to manage real time audio streaming, speech recognition, language model
Knowledge
When building real time voice systems, there's a moment we've all felt. That pause after you finish speaking, waiting for the AI to respond. It's a fraction of a second, but it breaks the flow. That delay is what separates fast enough from real
Knowledge
While building RapidaAI, one of the biggest challenges we are navigating is figuring out when a user has actually finished speaking — especially across different languages, accents, and natural speaking styles. Get it wrong, and the conversation feels off: interrupt too soon, and the user has to repeat themselves; wait too