Ahh the dreams of so many, myself included. Or at least a reliable way to autocorrect errors when developing software applications. This is a question that’s been on the minds of many lately: Will AI replace human coders in the next five years?
While there’s evidence to suggest that AI will surpass the ability of human coders, I believe that the emergence of AI tech will actually democratize coding and turn all of us into coders. Ultimately machines already detect mistakes much faster in thousands of lines of code, where one error can break an app. But the ability to customize and develop along a continuum will be required for the foreseeable future.
We will be able to customize literally anything we want with code we won’t necessarily need to write ourselves.
With generative AI coding, anyone will be able to express what they want in natural language and the generative AI will convert it into usable code in seconds. The analogy in the AI space would be text to code, just like we have text to image. This technology eliminates barriers to creativity and allows anyone to build systems that solve problems and create value for society.
While it’s true that AI has enabled machines to speak English and other languages, if you really want to collaborate with AI and harness its power, learning the native language of AI will give you a distinct advantage. Coding is not just about a particular computer language or writing programs; it’s about cultivating a mindset of computational thinking that will be increasingly important as these systems become more sophisticated.
Humanity’s best “coders” will be hybrids – humans working with AIs. AI-enabled programming is a superpower for both the novice and experienced coders. AI tools such as Replit and Github’s Copilot are helping developers automate redundant workflows, learn faster, work more efficiently, and scale their productivity. AI systems such as stable diffusion integrate with tools like Google Colab to run the python code.
The top 5% of programmers performed orders of magnitude better while partnering with AI. The question that I often get asked is what tech stack to focus on and of course it all depends on what you are building.
But the short answer is next.js, python, java and if you want to future proof your coding ability one option is to learn Intel’s Lava platform for building apps for the next generation of neuromorphic computing.
By democratizing humanity’s ability to code and amplifying the abilities of our best coders by 100x using AI, we are super-charging our future. We are accelerating the rate of technological advancement and increasing not only the quantity but the quality of code and solutions that we produce, leading to new AI-powered breakthroughs. The future of human coders is not dire, but rather full of potential and abundance.
Ultimately though, if you are thinking about digging into AI, now is the time. This one breakthrough alone, text to imageprocessingis very powerful. Start now!
Both photos on this page were created with Midjourney 5.