Docker-Deployment

Ever had your pager go off at 3 AM for what turned out to be a single noisy pod restarting in a loop? Yeah, me too. Then you spend the next hour digging through Datadog dashboards, filtering logs, and manually stitching together what happened — while your phone keeps buzzing with alerts that are all the same incident. I’ve been running AI agent stacks on my own infra for a while — containerized agents with sandboxd, orchestrating them with PilotDeck. So when I saw Superlog hit 1,029 stars in 44 days and land in Y Combinator’s P26 batch, I paid attention. An open-source observability tool that uses AI agents to automatically aggregate noise into incidents and investigate root causes? And I had to try it. ...

A few weeks ago I had three different AI projects running at the same time — a codebase refactor, a technical spec review, and some competitive analysis. Sounds manageable, right? It wasn’t. And every time I switched between projects in Claude Code, the context was gone. The agent mixed up code from the refactor with questions about the spec. So I spent more time re-explaining context than actually getting work done. ...

Ever watched your AI agent hit a wall three minutes into a task it was supposed to run for hours? Yeah, me too. I’ve been testing agent frameworks for a while now, and the pattern is always the same — they’re great at one-shot prompts, but ask them to do deep research, write code across multiple files, or iterate on a problem for 30 minutes, and they either forget what they were doing or spiral into nonsense. ...