"Is AI Going to Take Over Coding?"

Can we say that there is no more need to learn High-level(HLL or LLL) or Native languages?

Emad Mostaque, CEO of Stability AI, boldly proclaimed that “the era of human coders will dramatically end within just 5 years”, at the Abundance Summit.

Do you know?

In early 2023, ChatGPT aced Google's exam for high-level software developers. DeepMind's AlphaCode made a stunning debut, outperforming 45% of expert human programmers in a competition with over 5,000 participants. The most interesting fact is “GitHub” revealed that nearly half (46%) of code across all programming languages was generated using Copilot, their AI-driven developer tool.?

people’s concern is→

Will AI terminate the need for human programmers later this decade? Or instead of? Substituting coders, with generative AI, you can unlock your potential to become a programmer.

AI is Empowering Everyone to Code

In a future powered by generative AI, anyone who can articulate their ideas in everyday language (like English) will harness AI to transform their concepts into code. As highlighted by NVIDIA CEO Jensen Huang in a 2023 earnings call:

“We’ve democratized computer programming for everyone … who could explain a particular task to be performed in human language.”

This way, Students, Doctors, or even owners will be able to code, for their specific business’s needs.

By removing old obstacles to creativity, anyone(non-technical) can develop a program that solves problems and benefits society.

Platforms facilitating this revolution, known as "no-code" and "low-code," empower individuals with minimal programming experience to quickly and affordably develop applications.

Concern is→ In this changing world, is it still worth teaching your kids how to code? Should they stick with High-Level Language or learn another programming language?

Though your first reaction may be to say “No,” My senior AI developer, has a distinct opinion:

“Learning to code isn't just about mastering a specific computer language or writing programs. It's about developing a mindset of computational thinking: improving your skill to break down complex problems into smaller parts, create logical solutions, and think critically.”

"Preparing for Tomorrow's Essential Skill"

While AI has indeed advanced to understand and communicate in English, to effectively collaborate with and leverage its capabilities, mastering the native language of AI will provide you with a significant edge.

Humans will be best coders:

Before jumping to a conclusion let’s understand this with real-world examples,

“Creating art by hand offers a profound authenticity and depth that connects deeply with the human experience in ways AI-generated art cannot match. When a dedicated artist starts with a brush or pencil, they pour their emotions, experiences, and unique perspectives into each stroke. This tangible connection to the medium develops a relation from the artist's heart to the canvas, making their artwork a genuine reflection of their creativity and skill. In contrast, AI-generated art, while technically impressive, lacks the personal touch and soulful essence found in handcrafted pieces. The imperfections and spontaneity of hand-drawn art celebrate human creativity and individuality, making it a truly invaluable expression of artistic vision and human connection.

So, in this fashion, we can relate this to coding with Generative AI.

Why is this important?

By allowing everyone to learn coding and greatly enhancing our top coders' abilities with AI, we're fueling an incredibly powerful future. Meanwhile, AI is teaching itself to code better and faster, driving technological progress forward at an exciting pace.

While this might cause concern for some, it's crucial to acknowledge that these advanced tools are like superpowers that empower entrepreneurs to tackle and overcome many of humanity's greatest challenges.

Moreover, these tools allow individuals and small teams to tackle problems that were once the domain of governments or large corporations.

#AI #ArtificialIntelligence #Softwareengineering #Coding #softwaredevelopment #Automation #Robotics #NeuralNetworks #MachineLearning #AIethics #AIforGood