Agents, agents, agents. Mine manage kubernetes and build on top of it. Freelance platform engineer. Kubernetes. Berlin 馃嚛馃嚜
Joined October 2025
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Linux lacks a proper email + calendar client. Thunderbird works but the UX sucks. Omamail by @huacnlee to the rescue.
Everything is keyboard first but you may use the mouse as a backup. Shortcuts are shown where appropriate so that you don't have to actively look them up.
I shipped a few features & improvements this week. My personal combo google mail + proton mail + google calendar works super well already.
The new calendar looks pretty and offers lots of convenience features such as drag n drop of events, resizing events, google meet links, notifying guests about meeting updates and much more.
If you are using Omarchy, then Omamail integrates with your default agent to explain & draft emails.
I use Herdr to manage my agents in my laptop. Moshi over Tailscale works quite well to connect to the same herdr session and continue work from my phone. Definitely better than terminus or some other raw terminal.
there is a parked truck appearing out of nowhere in the middle of the road and someone getting out for a walk..
..let's cherish the days where we can still recognize a fake for what it is
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agents are insanely good at debugging infra issues by directly querying e.g. kubernetes logs + grafana metrics.
When a nerd tells me they don't use agents "because I can write better code than any agent", I usually go "huh, sure buddy, you do you". When they tell they don't use agents for monitoring, I just laugh in their face.
Seriously. You can't monitor a production deploy better than an agent can. I dunno about AGI but this specific job is something that an LLM can already do better than every single human in the world. For me, as a systems engineer, having agents monitor my infra changes has been (no joke) more impactful in my day-to-day work than having agents write my code.
I started doing this many months ago by asking the agent to monitor explicitly after I triggered a deploy; soon after I moved to using a set of my own Skills. Now our Review Agents team has fully automated this workflow with delightful UX and obviously I'm not going back.
It's hard to overstate how powerful this is. All it takes, for me, in production:
- The Datadog MCP
- The PlanetScale MCP (for all our databases)
- Our custom MCP for deploys and internal tooling
That's it. Some carefully designed gradual deploy pipelines, and the agent just takes care of everything from there. You can't really deploy SEVs to production anymore.
Doing infra like this is pure joy. And the safety is just a tiny part of it. The Rollout agent also does the actually hard part of my job, which is _performance_.
When the changes you're deploying are a performance optimization, the agent prepares a monitoring plan that ensures the optimization is correct AND effective. I rarely prompt benchmarks for my optimizations anymore. Just fucking go to prod and the agent is gonna give me the best possible benchmark.
If you work on systems or infra for a living, you should be setting up your production environments so you can use Rollouts. Not doing so is actually reckless.
just got access to jev by @typesafeai. perfect fit to replace the llm judge in 蟿虏-bench.
jev is a huge contribution and such an obvious idea in hindsight. a general purpose classifier that you don鈥檛 have to train because it embeds world knowledge like llms do. I鈥檒l try to train an oss variant based on qwen3.8 27b or diffusiongemma.
