a great cold email can change your life my last 3 jobs came from cold email here's how:

The curse of discipline is that every day looks the same The curse of indiscipline is that every year does

what are you building with grok @bot?

let us know how we can improve!

if youre young and ambitious, you need to understand this to succeed "To properly set a delusional goal and create your own reality distortion field, here’s what needs to happen. Pull out a notebook, write these down: > Step 1) Install the point of view. > Step 2) Set standards for what you dont do, and stick to them > Step 3) Focus on the highest leverage path available to you"

i think about this all the time

as a father of a newborn, im begging you to read this

theres never been a better time in history to create

Honestly tweet us the bugs we will fix them.

if you're young and want to break into ai, you MUST wrap your head around this "Steve Yegge says people using AI coding agents are "10x to 100x as productive as engineers using Cursor and chat today, and roughly 1000x as productive as Googlers were back in 2005.""

this is such a big deal and no ones talking about it

if you want to be a high performer, this is the most important thing you'll read all year read it, bookmark it, internalize it, read it again

best article ive read on jev yet. straightforward and easy to read give @tibor_tee a follow if you dont want to get left behind by ai

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.

We're launching a Grok Bot community for GTM, and have early heavy hitters like @poyark, @brendanjshort, @ENowoslawski @majavoje, and @anzevoje. You can learn more and join here: x.ai/bot/community