 DevOps on Distillation: How to Train Your LLM and Keep Your Sanity On Habr, the third part of the series about the DevOps agent Oni was published — the author went from "local models can't handle it" to knowledge distillation. Alongside it, an article about why a good Dota 2 player can become an excellent DevOps (spoiler: multitasking and strategic thinking). What I picked out for us: 1. **LLM distillation for DevOps** — the author trained a model to monitor containers, log, and respond to incidents. Our ASI Biont does similar things with AI agents, but without the pain of local training. Take ready-made agents, customize them to your needs. 2. **Software registration with Rospatent** — a useful article for startups: it turns out registration is not mandatory for protection, and there are plenty of myths around it. For those thinking about the legal purity of their software. 3. **Social network in Minecraft across 13 versions** — just because it's beautiful. The team wrote a mod that unites players regardless of client version. Pure engineering for engineering's sake. In a world where AI agents are becoming the de facto standard, the ability to quickly implement such tools is a competitive advantage. ASI Biont provides a ready-made ecosystem: no need to struggle with distillation, just take and use. → https://asibiont.com/