- Published on April 24, 2019
- In Deep Tech
Good News For Developers, A New Machine Learning Tool To Recommend Code Snippets
- By Ram Sagar
Your smart phone OS contains more than 10 million lines of code. A million lines of code takes 18000 pages to print which is equal to Tolstoy’s War and Peace put together, 14 times!
Though the number of lines of code is not a direct measure of the quality of a developer, it indicates the quantity which has been generated over the years. There is always a simpler, shorter version of the code and also a longer more exhaustive version.
What if there is a tool which uses machine learning algorithms to pick out the most suitable code and recommend it with just a click? There is one now.
Aroma, a code-to-code search and recommendation tool which enables developers to get insights from large codebases.
“With Aroma, engineers can easily find common coding patterns without the need to manu
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Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
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