Hi everyone,
I wanted to share some thoughts about AI, not just in programming but in many different areas. There's often a misconception that AI is some separate entity, almost like a person or an employee on its own. In reality, AI doesn't have its own mind or consciousness like us; it's just made up of sophisticated algorithms, basically a bunch of complex instructions.
Now more than ever, people who've invested time and sometimes money into understanding how code works, how structures function, how databases operate, and how frontend-backend connections should be structured correctly are seeing real benefits. On the other hand, those who skip these foundational concepts often end up frustrated because they believe they can bypass essential knowledge. But this isn't just true for programming. I've seen the same issue in writing, where people don't know how to craft good prompts, resulting in poor quality content. It's also common in design some designers don't spend enough time learning about core principles like UI and UX, leading to ineffective results. The issue isn't the tool itself. Similarly, with Wappler, sometimes we ask things through AI and the outcomes aren't as expected. It’s not Wappler’s fault; rather, we often lack the necessary foundational knowledge to effectively handle this new technology, which requires a solid understanding of the problems we're asking AI to solve.
AI is an amazing tool that can seriously speed up our work. Sometimes, with just a brief description or a bit of context, it can deliver results that might otherwise require lots of explanation or way more time. But it's super important to understand that AI isn't magic, it doesn't automatically know exactly what we want or need.
For example, if you say something like "I want an app just like Facebook" or "I need a sales system like McDonald's," that's just not enough. These systems are huge and complicated, and AI can't just replicate them without detailed instructions and a solid understanding of what you're trying to do. Even when we give it lots of information, there’s usually still something missing to get a perfect result.
I really think we need to learn how to use AI properly. Just like a carpenter learns how to handle a hammer, we need to educate ourselves on using AI smartly and effectively. Understanding AI's limits helps us use it better and prevents frustration when it doesn't perform exactly as expected.
Unfortunately, I've seen AI used incorrectly, leading to disappointment and skepticism. This kind of misuse can hurt not just the user but also their team, their company, and their clients. It's key to remember that AI alone doesn't solve everything. We, as developers and professionals, need to provide solutions by understanding the software, our customers, and how they work every day.
For simple tasks, like recreating something basic such as the Snake game, AI might quickly give you what you need. But for custom solutions tailored specifically for clients, we need a clear understanding of their context, problems, and goals. Only then can we effectively use AI to enhance our work.
This is just my personal take on it, but I think now’s a great time to pause, reflect, and really understand how to get the most out of AI to do our work more efficiently, deliver better results in less time, and most importantly, solve our clients’ needs more quickly and effectively.
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