{"id":155106,"date":"2019-09-09T13:42:07","date_gmt":"2019-09-09T17:42:07","guid":{"rendered":"https:\/\/www.countingpips.com\/?p=155106"},"modified":"2019-09-09T13:42:07","modified_gmt":"2019-09-09T17:42:07","slug":"thoughts-on-security","status":"publish","type":"post","link":"https:\/\/www.investmacro.com\/forex\/2019\/09\/thoughts-on-security\/","title":{"rendered":"Thoughts on Security"},"content":{"rendered":"
September 9, 2019<\/div>
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By Adam Smith for Kite.com<\/strong><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Last week we launched\u00a0Kite<\/a>, a copilot for programmers. We\u2019ve been excited about the Kite vision since 2014\u2014we\u2019re blown away by how many of you are excited about it too!<\/p>\n

The response far exceeded our expectations. We had over a thousand upvotes on Hacker News; we were in the all time top 1% of launches on Product Hunt; and we had over two thousands tweets about Kite, not counting retweets. We couldn\u2019t be more grateful to those who believed in the vision and took the time to share Kite with a friend or join the discussion online.<\/p>\n

That said, we have a lot of work to do. Kite is the first product of its kind, which means we\u2019re pioneering some new terrain. We signed up for this, and are committed to getting it right.<\/p>\n

Why Cloud? Garmin versus Waze.<\/h2>\n

The first question is: why keep the copilot logic in the cloud, instead of locally as part of the Kite install? The short answer is we can build a better experience if Kite is a cloud service.<\/p>\n

The full answer is a long list of things that are better about cloud services. Editors today are Garmin GPS, and Kite is Waze. Some folks still use Garmin GPS due to privacy concerns, but most of the world uses internet-connected navigation for its many advantages: fresher maps, more coverage, better tuned navigation algorithms, better user experience because iteration is 10x cheaper, etc.<\/p>\n

The same patterns apply to Kite. I\u2019d like to give three quick examples, and then talk about the larger strategy.<\/p>

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  1. Data by the Terabyte.<\/b>\u00a0Kite uses lots of data to power the copilot experience. We index public documentation, maintain maps of the Python world (e.g.\u00a0scipy.array<\/code>\u00a0is an alias for\u00a0numpy.array<\/code>), and surface patterns extracted from all of Github. We keep all of this in RAM, so you don\u2019t have to. We run servers with 32 GB of RAM; while some of you may have that kind of rig (we\u2019re jealous!), the typical Macbook Pro doesn\u2019t. This data set will grow as we add support for more programming languages and more functionality. With a cloud-based architecture you don\u2019t need to preselect which languages you\u2019ll use, or sacrifice gigabytes of memory on your machine.<\/li>\n
  2. Machine Learning.<\/b>\u00a0Kite is powered by a number of statistical models, and we\u2019re adding more over time. For example, Kite\u2019s search and \u201cDid you mean\u201d features both use machine learning. Of course we could ship these to your local client, but our models will get smarter over time if we know which result you clicked on (like Google Search) and whether you accepted a suggested change to your code (like Google Spellcheck).<\/li>\n
  3. Rapid ship cycles.<\/b>\u00a0We ship multiple times per week. This means our bugs get fixed faster, data is fresher, and you get the newest features as soon as possible.<\/li>\n<\/ol>\n

    The cloud and its resulting feedback loops lead to better products, faster. We\u2019ve seen the same evolution across a number of verticals. A few examples:<\/p>\n