- Published
- Author
Manu
a tags without an href are not links, they are placeholders for links. Also, capybara only click on links which have the href attribute.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
- Manu
Difference between usage of size/count/length when dealing with ActiveRecord::Relations and got rid of many
COUNT(*) queries. Good article on the same - http://work.stevegrossi.com/2015/04/25/how-to-count-with-activerecord/- Published
- Author
- Manu
Postgres VACUUM [https://www.postgresql.org/docs/9.1/static/sql-vacuum.html] - It reclaims storage occupied by dead tuples.
- Published
- Author
- Manu
Rspec's
subject is a special variable that refers to the object being tested. It's instantiated implicitly but can also be done explicitly. Handy to be used with shoulda matchers. - Published
- Author
- Emil
In Tmux, prefix+t shows the current time in big font size
- Published
- Author
- Mrinmoy
about StringIO http://ruby-doc.org/stdlib-1.9.3/libdoc/stringio/rdoc/StringIO.html so useful in certain cases
- Published
- Author
- Manu
looping through a collection of records in database using methods like
all is very inefficient (it tries to instantiate all objects at once) and should resort to batch processing methods eg: find_each. - Published
- Author
- Ganesh
ansible lets u use ansible_distribution ( values : Ubuntu, CentOS etc), ansible_distribution_release (values : xenial, precise etc) to write dist specific commands
- Published
- Author
- Manu
There is a global location for git ignore *nix -
~/.config/git/ignore- Published
- Author
- Harshwardhan
open chrome devtools, press cmd(ctrl) + shift + p and type show coverage and press enter, once you reload the page you can see the amount of JS fetched and how much is actually getting used on that page
Showing page 73 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.