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- Ganesh
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.
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- Mrinmoy
http://markdown-here.com/ found about it from here https://emacs.stackexchange.com/a/20568/7091
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- Author
- Kashyap
https://github.com/github/orchestrator is a MySQL high availability and replication management tool
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- Mrinmoy
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- Author
- Ganesh
Borg was/is google's internal container management system for more than 10 years, basically a pre-curser to K8 https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43438.pdf
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- Mrinmoy
about alias_method, alias_method_chain and then prepend https://hashrocket.com/blog/posts/module-prepend-a-super-story
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- Ganesh
nice one on schedulers (kubernetes et al) https://medium.com/@cindysridharan/schedulers-kubernetes-and-nomad-b0f2e14a896
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- Mrinmoy
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- Emil
Go doesn't have Functional generics like map, reduce, fold etc because it encourages imperative for loops
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- YuvaCo-founder
https://github.com/mperham/sidekiq/wiki/Signals Sidekiq can't be restarted. It will always be
TERM -t + Start Showing page 80 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.