Documentation: The Myth of a No-Instructions Era (And Why It's Fake)

Absolutely not, quite the opposite. The idea that artificial intelligence or "clean" code makes documentation useless is one of the most persistent myths in the development world. Despite the hype, teams still struggle with a lack of clear information.

Many think reading the code is enough to understand everything. Sure, well-written code helps, but it will never tell you why a certain decision was made, or which specific problem it aimed to solve. It's like having a recipe for a dish without knowing if it's for a fancy dinner or a picnic.

Documentation provides context, explaining the "why" behind the "what." Without it, every new developer joining a team takes ages to figure things out. For example, companies investing in robust documentation reduce onboarding times by 50% for new hires compared to those that don't, according to a 2022 TechDocs report. That's a real saving in time and money.

Imagine inheriting a years-old project with no explanation whatsoever. You'd find yourself doing archaeological digs in the code, hoping not to break anything. Documentation is the treasure map that prevents you from digging randomly. It explains interactions between software components, dependencies, and all those little things code alone can't tell you.

Of course it can, but it can't do all the work for us. AI is a great tool for generating drafts, summarizing text blocks, or even suggesting code examples. But the crucial part, giving it logical sense, imbuing human context, and strategic decisions, remains a human task.

In 2023, Google released an AI model, Gemini, capable of generating basic code and documentation, but developers still had to review and integrate 70% of the content to ensure accuracy and relevance. Completely delegating documentation to AI is like asking a robot to write a movie plot: it will give you the sentences, but not the soul. Valuable documentation comes from the experience and vision of those who built the system.