Tech Trends and Directions for 2024:

Lets dive straight into it.

1. The end of having to pound semicolons:

It won't eliminate the coder; that's a crucial point. It simply shifts their focus to other tasks. When coders have more time to deliver value, they can allocate more time to innovate and create architectural advancements. Time spent on one task is time not spent on another. Instead of pounding semicolons, coders can devote their time to contemplating the next evolutionary addition or game-changing feature for their apps or products.

As AI progresses and Copilots become more widely used, users will have more time to focus and accomplish tasks at a faster pace.


Let's be realistic for a moment. Deep down, you know that the code monkey on your team is capable of so much more. They just lack the time and opportunity to explore those possibilities. Generative AI can provide them with that chance. We all know that more rapid innovation and creation benefits everyone.


2. More enterprise apps with their own (Gen) AI:

Every company is now in a rush to train their own AI using their unique data and bring it to market, hoping to attract users to their platform over others. Whether it's search engines like Bing and Google utilizing their own LLMs and Gen AIs, or platforms like Salesforce, Twitter(X), and Snapchat integrating their own built-in AI. I can't blame them. Ultimately, they all strive to provide their clients with a tailored and enhanced user experience. However, my advice is to avoid getting locked into a single vendor. Just as the internet offers a multi-website experience, Copilots and Gen AIs should also be explored across multiple platforms. Try as many as you can find, as no single one is "the best." Learn from many and narrow down to the ones that work best for you.


3. Multi-Modality Generative AIs:

The game-changing AI won't solely rely on text data (like chatGpts and similar models) but will extend to other types of data. Text-based generative AIs are impressive, but they don't represent the true disruption in the field.



Personally, I'm excited about this aspect. So far, we've witnessed the development of text-driven Gen AIs, but that doesn't mean it's the limit of what's possible. We have generative AIs that work with video data and image data, and I can't wait to see what other types of data will contribute to this field, such as molecules, blueprints, and more. This is where the true value of Gen AIs lies: in multi-modality generative capabilities.

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