Kite recently announced it had secured $10 million in its latest funding round to bring its total funds raised to $17 million.
Kite’s Predictive AI code completion tool allows users to automate routine coding tasks for greater efficiency. It can also suggest several words of code that a developer is likely to use. Sometimes, the python-based Kite can even predict full lines of code. The startup also said that their latest initiative is to get off the cloud and go local.
Sugandha Lahoti explains why Kite got off the cloud in this report from Packt:
Kite is going completely cloudless. It will now perform all processing locally on users’ computers, instead of in the cloud. Users don’t even have to sign up for a Kite account.
The decision to go cloudless was based on two major reasons.First, it hampered the latency. It was impossible to provide low-latency completions when the intelligence lived in the cloud. Running locally, Kite works extremely fast regardless of the internet connection.
Security and privacy are major concerns when working on the cloud. Users are often uncomfortable with code leaving their computer and worried about data breaches. Going local allowed them to keep their codebases on their own computers. Kite has also optimized its Python analysis engine and AI models to work with the resource constraints of users’ computers.
