Is Coding Dead? (AI's Takeover)

Summary

The video discusses whether AI will completely replace coding in the future. It tracks the history of programming languages becoming increasingly simplified over time to democratize coding. The host argues AI coding assistants are the natural next step in this progression - an additional abstraction layer on top of languages like Python and JavaScript to make coding even easier. He believes AI will soon write most code, with humans still needed to debug, design interfaces, and solve domain problems. AI coding has flaws now but is rapidly improving. The host thinks humans should keep learning to code as a creative outlet, while AI handles monotonous coding tasks.

Takeaways

• 😊 Programming languages have gotten progressively easier to use over time to allow more people to code
• 👨‍💻 AI coding assistants are the next step in the progression of coding languages - making coding even more accessible
• 🤖 AI can now write functioning code, but still has limitations around complex software and debugging
• 😎 Some believe AI will completely take over coding in the next 5 years while others see a future human/AI collaboration
• 💡 Coding will likely move more into problem solving and experience design rather than pure coding
• 🔢 Abstraction layers allow hardware to be controlled by increasingly user friendly software languages
• 📈 AI ability to parse large code bases and not lose context continues to rapidly improve
• 👶 Learning to code still valuable for enjoyment, problem solving skills, understanding computers
• ⏱️ Significant AI generated / assisted coding likely in the next 18 months
• 😮‍💨 Debate remains around impact and timeline of AI on coding jobs

Q & A

What was the first coding language the narrator learned to play around with?

The first coding language the narrator learned to play around with was BASIC.

According to the narrator, what has been the direction of programming languages over time?

According to the narrator, programming languages over time have been designed to get easier and easier to use so that more people can code.

What does the narrator believe is the next natural progression in coding, based on the history of programming languages?

The narrator believes AI code assistance is the next natural progression in coding, as it is just another layer of abstraction to further simplify and democratize coding.

What does the narrator think is an example of the final abstraction in coding?

The narrator thinks AI coding assistants are an example of the final abstraction in coding, where managing AI coders becomes more powerful than personally writing code.

What does the narrator believe will still be necessary in coding, even with advanced AI?

The narrator believes human guidance will still be necessary for debugging code, steering UI/UX design, and providing the original ideas and creativity.

What does the narrator think will happen in coding similar to AI art?

The narrator thinks human-written code will be more valued than AI-written code, similar to how human art is often valued over AI art currently.

What are some current issues the narrator sees with AI coding assistants?

Some issues are buggy initial code, assistants losing context from previous conversations, limited context windows, and losing track of code structure in long documents.

When does the narrator estimate AI will be proficient at writing good code?

The narrator estimates AI will be proficient at writing good code within the next 18 months, possibly even sooner.

Why does the narrator think people should still learn coding, despite advances in AI coding?

Because coding can be enjoyable and help people understand what's going on under the hood. Also some human guidance will still be needed on elements like debugging.

What is the narrator's view on fully replacing human coders with AI?

The narrator believes AI will write most code in the future but human coders will still play an important role in areas like steering design and providing creativity.