How AI has Transformed Coding

The journey from writing code manually to being assisted by AI today has been long and complex, and some issues still need to be addressed. But when used the right way, the benefits AI brings to the developer world are astounding.

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Coding isn't what it used to be. With AI helping write almost everything, we've gone from days of manual work to minutes of automated builds—a transformation that's redefining the business of building software.

But this transformation wasn't an overnight sprint; it was a journey. It's a common mistake to think you can just give AI tools to developers and expect them to write production-quality code from day one. That's not how it works. If not controlled or prompted properly, AI can generate useless code and even break existing repositories. Reaching the state we are in today required our developers to take a deliberate journey, learning to manage this new way of working.

Today, those developers are more like conductors, guiding an orchestra of AI tools. The impact is staggering. When a new business requirement comes in, more than 90% of that new code is generated by AI. But it doesn't stop there. Even within our existing, mature codebases—some written 2-3 years ago, long before these techniques were common—AI is responsible for 55-60% of the modifications. This is where AI must figure out a lot of existing context, and our developers are driving that interaction. What used to take days, we now knock out in minutes. A typical front-end project? We can get that production-ready in about 30 to 40 minutes. A new backend service from scratch for a low-to-medium complexity use case? That's done in just eight minutes! Give the system a UI design file, and it spits out Node.js for the backend and React.js for the frontend, ready to roll.