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’s round 100 billion strains of open-source code obtainable for coaching AI. That’s a whole lot of code. A complete lot of code.
And should you want a proof of how code works, there are one thing like 20 million questions and much more solutions on Stack Overflow for AI to study 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 take a look at, after which we are able to verify by way of testing if it truly does what we would like. Not like different domains, AI’s code output will be checked and verified pretty simply.
Should you select to, you possibly can even have your AI write unit and integration checks beforehand, additional clarifying and defining what the AI ought to do. Then, inform your AI to jot down code that passes the checks. Ultimately, AI will work out that test-driven improvement is the perfect path to writing good code and executing in your needs, and also you gained’t even should ask it to do this.
Welcome, Skynet
And eventually, code is a superb use case for AI brokers as a result of builders are usually unafraid of recent 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 financial system, and AI corporations are strongly incentivized to lean into profitable markets which are accepting and obsessed with utilizing AI brokers.