Technology
A startup CEO recently posted that his team generated a million lines of code with AI agents in a quarter. After twelve months shipping a production voice AI platform with AI coding agents, I've started paying attention to a different question: what happens after the code is written?
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