- Published
- Author
- Mrinmoy
TILs - Fueling Curiosity, One Insight at a Time
At Codemancers, we believe every day is an opportunity to grow. This section is where our team shares bite-sized discoveries, technical breakthroughs and fascinating nuggets of wisdom we've stumbled upon in our work.
- Published
- Author
- Emil
You can create a multiline regex in Elixir using r""" for example:
```
assert yml_file_content =
~r"""
foo:
environment:
- VIRTUAL_HOST=[a-z]{10}.127.0.0.1.xip.io
bar:
environment:
VIRTUAL_HOST: [a-z]{10}.127.0.0.1.xip.io
"""
```
```
assert yml_file_content =
~r"""
foo:
environment:
- VIRTUAL_HOST=[a-z]{10}.127.0.0.1.xip.io
bar:
environment:
VIRTUAL_HOST: [a-z]{10}.127.0.0.1.xip.io
"""
```
- Published
- Author
- Manu
The best way to parse time is to use Time.zone.parse (which will use the time zone specified in config.time_zone) instead of just Time.parse (which will use the computer’s time zone) courtesy: https://www.varvet.com/blog/working-with-time-zones-in-ruby-on-rails/
- Published
- Author
- YuvaCo-founder
capistrano3-puma has become so advanced that it can now generate nginx configuration https://github.com/seuros/capistrano-puma#nginx This is so helpful!
- Published
- Author
- YuvaCo-founder
from ps man pages, if you want to list pids of particular process just use
ps -C -o pid= . Damn handy when it comes to looping and killing processes- Published
- Author
- Manu
- Published
- Author
- Mrinmoy
in js the default sort order is according to string Unicode code points, source https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Array/sort (shrug)
- Published
- Author
- Manu
Rails
prepend_before_action to chain before action callbacks. - Published
- Author
- Akshay
ActiveSupport::Autoload helps to require the file and loads only when needed
- Published
- Author
- YuvaCo-founder
ActiveStorage supports mirror service, one can upload files to multiple storages in 1 shot
Showing page 78 of 83
Your competitors are already using AI.
The question is how fast you want to unlock the value.
Don't know where to start?
AI is everywhere but it's unclear which investments will actually move your metrics and which are expensive experiments.
Your data isn't ready
Most AI projects fail at the data layer. Pipelines, quality, access all need work before LLMs can deliver value.
Internal teams are stretched
Your engineers are shipping product. They don't have capacity to also become AI specialists with production-grade experience.
Legacy systems block everything
Aging, undocumented codebases make AI integration slow, risky, and expensive. They need to move first.