We all love the fast software. Ghostty is crazy fast.
What I use with my macos keyboard comes from Emacs. Namely, Cmd+
Here is an example of a config extracted from this discussion.
Example of the Python code to catch EC2 termination signal and ping Jenkins to run termination job. Useful to execute graceful shutdown if you’re using EC2 spot instaces.
You will need Jenkins Generic Webhook plugin.
import json
import boto3
import urllib3
import os
JENKINS_JOB_TOKEN = os.environ.get('JENKINS_TOKEN')
JENKINS_URL = os.environ.get('JENKINS_URL')
def invoke_jenkins(target):
http = urllib3.PoolManager()
return http.request('POST', f"{JENKINS_URL}/generic-webhook-trigger/invoke?instance={target}", headers={'Authorization': f"Bearer {JENKINS_JOB_TOKEN}"})
def find_target(instance_id):
ec2 = boto3.client("ec2")
tags = ec2.describe_tags(Filters=[{'Name': 'resource-id', 'Values': [instance_id]}])
for tag in tags['Tags']:
if tag['Key'] == "Name":
return tag['Value']
def lambda_handler(event, context):
instance_id = event["detail"]["instance-id"]
target = find_target(instance_id)
if not target:
return {
'statusCode': 422,
'body': f"target for {instance_id} not found"
}
print(f"Jenkins termination job called for instance: {instance_id} target {target}")
resp = invoke_jenkins(target)
print(f"Jenkins response status {resp.status}")
print(f"Jenkins decoded response")
print(resp.data.decode('utf-8'))
return {
'statusCode': resp.status,
'body': json.dumps(resp.data.decode('utf-8'))
}
It’s often the job increases retry counter, but there is no time to waste after the root cause of failing job being removed.
Here is the way to enforce re-run of the job. Unfortunately, I couldn’t find any means to achieve the same from the UI
nomad job eval -force-reschedule rundeck
The problem of interpreter and dependency management is quite common, but also challenging.
brew in Ruby, ansible in Python.In order to run they always need two things:
This boils down to the following problems. How to download and keep interpreters of different versions? How to download, keep and manage dependencies? How to include or not to include the interpreter and dependencies into a distribution?
It’s common task to prepare README.me, but how to check the preview?
If you use uv, the fastest way is to use grip like this
Use this oneliner in the folder with markdown and open browser with http://localhost:6419 address
uv run --with grip -m grip
which is the same as
uv tool run grip
or even shorter
uvx grip
Learn how to access and work with your private data using Large Language Models with Model Control Protocol.
Cloud Cost Management, or FinOps is tricky. Imagine Team A started consuming much more resources and the management just starts seeing hair-pulling consequences at the end of the month in AWS bill.
How to react fast and prevent unnecessary cost? Or become very restrictive by blocking spinning up a new resources w/o explicit management approval, this can slow down and progress and also can be catastrophic for the company.
Using sattelites for internet communications is not a genuinely new idea. Number of companies provided such services before Starlink.
But the key difference between previous generation solutions is the latency.
The problem is, 600ms for a signal to travel almost 35700km to a sattelite and back is a lot. No gaming or realtime communication is feasible with such a delay.
The only way to decrease the lattency is to position sattelites at lower altitude. This is why Starlink sattelites fly between 340km and 1200km above the surface. Giving us incredible 30ms latency even in remotest regions of Earth.
models are top-notch and I found myself using them a lot.
IMHO, the editors w/o tight AI integration will fade away at some point.
Cursor is an editor with most notable integration with AI API, allows to have nice interactions with code suggestions from LLM.
Another notable example is NeoVIM. This year I’ve invested a lot into making baby steps with nvim. Probably, the easiest way to start is by using NVChad, a curated set of plugins. I used to use vim a lot back in the days with Ruby on Rails development and I liked the experience back then. NeoVIM makes integration of a lot of tools a breeze with LUA. It was interesting to discover Clojure dialect of LUA - Fennel. Fennel can be used to write extensions for NeoVIM as well. DHH is moved away from macOS to Linux and his new tech stack includes NeoVIM with curated configs gathered in a tool “Omakub”. I clearly see this trend to build platform-like utilities. For example, once - is a command line tool used to deliver updates to the standalone applications, like WriteBook.
