Code is plentiful
And there is a gigantic quantity of code on the market. Simply consider GitHub alone. A back-of-the-envelope calculation says there may be round 100 billion strains of open-source code obtainable for coaching AI. That’s quite a lot of code. A complete lot of code.
And in case you want an evidence of how code works, there are one thing like 20 million questions and much more solutions on Stack Overflow for AI to be taught from. There’s a motive that Stack Overflow is a shell of its former self—all of us are asking AI for solutions as a substitute of our fellow builders.
Code is verifiable
As well as, code is well verified. First, does it compile? That’s at all times the massive first check, after which we will examine through testing if it really does what we would like. In contrast to different domains, AI’s code output could be checked and verified pretty simply.
In the event you select to, you may even have your AI write unit and integration assessments beforehand, additional clarifying and defining what the AI ought to do. Then, inform your AI to write down code that passes the assessments. Ultimately, AI will work out that test-driven improvement is the very best path to writing good code and executing in your needs, and also you received’t even should ask it to try this.
Welcome, Skynet
And eventually, code is a superb use case for AI brokers as a result of builders are typically unafraid of latest know-how and at all times appear able to check out a brand new instrument. This turns into a virtuous circle as AI corporations produce coding brokers, and builders embrace these coding brokers. Software program improvement is a large a part of the economic system, and AI corporations are strongly incentivized to lean into profitable markets which can be accepting and smitten by utilizing AI brokers.
