Mar 04, 2025
6min read
Development with AI
In a world with ChatGPT and DeepSeek, do developers still need to know how to read and analyze documentation, as well as share knowledge with the community?
Today, we’re used to quickly learning through AI tools—asking for summaries, contextual explanations about technologies, sample code, or even requesting an entire feature directly. This is great for speeding up our development and boosting productivity.
But are we becoming too dependent on these quick answers?
Recently, while working on a project with Fabric.js (which I’ll share more about soon), I ran into challenges that AI simply couldn’t help me solve correctly. The responses were outdated, suggesting nonexistent functions or old versions of the library. That confirmed the obvious: AI doesn’t always have all the answers—and that’s where reading documentation and connecting with the community become crucial.
To move forward with the project, I needed to:
Thoroughly read the official documentation, testing each concept; explore the GitHub repository, checking issues and PRs; and talk to other developers on Stack Overflow and GitHub itself.
In the end, the combination of study + community made all the difference.
Moral of the story: AI is a powerful tool, but it doesn’t replace fundamental skills like documentation interpretation and communication with the community. If we want to grow as developers, we need to develop these skills just as much as our coding abilities.