Early Voice AI deployments were built on a straightforward pattern: Speech To Text, LLM, Text To Speech. That pipeline was enough to produce compelling prototypes for customer support, sales automation, and meeting summaries. The pattern holds well until it meets a regulated environment. Telecom platforms, telehealth systems,
Improving quality in WebRTC applications is an ongoing task, it doesn’t stop when you deploy your application. To support maintenance, debugging, and continuous improvement, observability needs to be baked in from the beginning. On March 25, 2026, our guest was Balázs Kreith, a Senior Software Engineer at Riverside.fm,
Recently, I read an article on LinkedIn that captured something many experienced developers have been feeling: software development is changing rapidly in the age of generative AI, but not always in ways we fully understand. One quote especially resonated with me: “An MIT professor called AI ‘a
When something breaks in a real-time application, users know immediately. There’s no grace period, no hiding behind a loading spinner. Voice, video, chat, and live data platforms demand a higher standard of maintenance and support than traditional web applications. The model you choose to deliver that support
