Less than personal. Dawid Laszuk's world.

In a team, waiting costs more than the coding does.

Story here is wild.

I built a small menu-bar app because I was tired of discovering that a repository had moved without me.

I built a small thing at work recently.

Another great use for AI agents: Kubernetes migrations.

This table has been showing up on my feeds for a few days.

Kitty does not automatically follow the Ubuntu desktop light/dark theme in the way I wanted.

We added desktop integration for the Terminal Agent popup GUI on both Fedora and Ubuntu, and this is one of those tiny upgrades that changes daily flow.

I've been thinking about reinforcement learning (RL) much more recently.

Every company wants to be an AI company.

It's kind of obvious.

tl;dr: There are preferred languages and frameworks.

Just as I was getting tired of all these incorrect suggestions by the Github Copilot, I learned about its `copilot-debug` option ([link](https://code.visualstudio.com/docs/copilot/copilot-vscode-features#_debug-and-fix-problems)).

It should've been easy but it wasn't.

One thing I've seen people conflate is "Independent" and "Alone".

A common joke in the corporate world is that "AI is just a bunch of `if` statements."

There's a tool called Terminal Agent - check it out on GitHub at https://github.com/laszukdawid/terminal-agent.

It's time for me to write an "I'm excited to share" blog post.

It's Ok to repeat yourself.

No one plans to fail, yet everyone has seen failed projects.

The best way to understand what an import is introducing is to remove it and see what breaks.

Sometimes we want to send a docker image to dev or staging environment.

We just released the HomeHero app.

I've been working on another bigger project.

As we get older, our thoughts solidify a bit.

Python has a built in argument parser called [argparse](https://docs.python.org/3/library/argparse.html).

Had a use case to checkout a git repository (from Github) via ssh in a Docker image.

To use golang binaries in Python, one can do that by first converting golang programs into shared libraries and then calling them from Python.

When working with AWS in GovCloud, it turned out that the boto3 library is not configured to work with GovCloud by default.

Resolutions are a double-edged sword.

Unsupervised learning is a powerful technique in machine learning, particularly when dealing with datasets where labeled data is unavailable.

ML infrastructure plays a crucial role in the success of a machine learning project.

It's been over a year since [I left a stable and well paying job](/blog/2020/09/07/leaving-amazon-for-a-sabbatical/), and focused more on myself.

In less than 12 hours after publishing this note I'll be talking to my new colleagues at my new job.

It barely started and now I'm forced to move Agents Bar on an indefinite hiatus.

There are a few things that I'd like to announce and preserve for accountability.

A small big milestone.

A downbeat this one is.

One of those notes written under a sudden and noticeable motivation spike.

It’s a huge pleasure to announce, yet it is rather scary.

tl;dr: I'm looking for co-founders to help push the Agents Bar to glory.

TensorBoard seems to be a de facto standard tool for displaying your ML experimental data.

Usually around this time I spend more days actively thinking and writing.

Whenever I'm running PyTorch with enabled CUDA and laptop decides to turn off/put to sleep the GPU, executed script will fail with some CUDA allocation error.

I saw a few people referring to S.

It's been over a week since I left Amazon where I've worked for over three years.

tl;dr: AiTraineree is a new Deep Reinforcment Learning lib based on PyTorch.

tl;dr: A GitHub gist with commands walk-through is available here.

I've been evolving my productivity process for a long time and there are a few aspects that really work for me.