Most AI coding tools are built around a single user. You work with the agent in a private window, and when the session ends, everything it learned stays with you. The next person on the team starts from zero. That bothered us, so for Bitmovin’s Q2 2026 hackathon…
What happens when a support engineer ships a production AI system? At Bitmovin, a Senior Support Engineer built a fully operational multi-agent AI support system that now triages incoming customer tickets, searches documentation, diagnoses technical issues, and resolves many of them automatically, before a human ever gets involved. This post walks through the architecture behind the system, the agent design decisions, the lessons learned and what the system looks like in production today.
Building a video streaming platform used to take weeks and a team of specialists. With an AI coding agent and Bitmovin, it now takes a day. Bitmovin’s CEO proved it by building Bitflix, a fully working Netflix-style streaming service in 24 hours using Claude Code alongside Bitmovin’s VOD Encoder, Player, AI Scene Analysis, and Observability solution. In this post, we walk through how AI coding agents work with Bitmovin’s MCP server and CLI, the step-by-step prompt sequence to get your own streaming service up and running, and what you get at the end.
TL;DR Most video workflows are automated in parts. Encoding jobs run on one system, Player configuration lives somewhere else, and playback performance data requires yet another tool to query. The pieces exist, they just aren’t connected. That fragmentation is where time gets lost. Even simple tasks like triggering an encoding job, updating a domain allowlist,…
You’re watching a key moment in a show. The tension is building, the scene is about to peak, and just as it does, the video cuts to an ad. It’s a familiar experience, and one that immediately breaks immersion, not because the ad exists, but because of where it appears. As ad-supported streaming continues to…
During a recent company-wide hackathon at Bitmovin, teams across the organization explored how AI could be used to improve internal workflows and prototype ideas that may influence future product directions. One area that consistently slows teams down, especially across distributed engineering groups, is how issue tickets enter the development process. Bug reports may arrive…
At Bitmovin, we believe that the best products often start as “bold ideas” born out of curiosity, especially when exploring how new technologies like generative AI could shape video workflows. That is why we host quarterly two-day hackathons, events designed to give our engineers the freedom to step away from their daily roadmaps and…
In February, Bitmovin launched the AI & Beyond Internship Incubator program designed to promote young talent in AI. The program is open to students from HTLs and technical universities to gain practical experience with AI-powered software solutions. For the past few weeks, the six students joining the inaugural AI & Beyond Internship Incubator on July…
The dust has just about settled from the 2025 edition of NAB! As always, it was fantastic to see all of our customers, partners, and industry friends in Las Vegas once again and get a real sense of the trends that will shape the media and entertainment technology industry in the coming months. There’s no denying the last couple of years have been…
Since forming in October 2019, the Christian Doppler Laboratory ATHENA at Universität Klagenfurt, run by Bitmovin co-founder Dr. Christian Timmerer, has been advancing research and innovation for adaptive bitrate (ABR) streaming technologies. Over the past five years, the lab has addressed critical challenges in video streaming from encoding and delivery to playback and end-to-end quality…
The Bitmovin Blog. Keeping you informed.