Is Learning to Code in 2025 Still Worth It?

Summary

In this video, the creator explores whether learning to code in 2025 is still worthwhile. The discussion presents both sides: on one hand, AI tools like vibe coding are becoming increasingly effective, making it easier to build apps without coding knowledge. On the other hand, the creator argues that understanding coding practices, methodologies, and best practices is crucial for producing robust software. The video weighs the impact of AI on junior developers' job prospects and the pressure on current professionals, concluding that for some, vibe coding may suffice, but for those pursuing a serious career in software development, learning to code is essential.

Takeaways

• 😀 AI coding is rapidly improving and may eventually replace many coding tasks, especially for simpler projects.
• 😀 Vibe coding allows non-coders to build apps and games quickly using AI, without needing to write traditional code.
• 😀 Junior developers face challenges in finding job opportunities due to the rise of AI tools replacing their roles.
• 😀 Companies may choose AI tools over training junior developers because it's cheaper and more efficient in the short term.
• 😀 The job market for new developers is increasingly competitive, with fewer opportunities for career growth.
• 😀 Developers in the industry are facing pressure from management to use AI tools, but these tools aren't always effective in real-world applications.
• 😀 Coding is not just about writing syntax; it's about following methodologies and best practices to create secure, efficient, and robust software.
• 😀 Learning to code provides a deeper understanding of computer science concepts like databases, networking, and concurrency, which vibe coding cannot offer.
• 😀 Understanding how to code makes it easier to communicate clearly with AI tools, leading to more precise and effective results.
• 😀 Although AI tools can help speed up app creation, they still struggle with complex tasks, and sometimes it's faster for developers to code themselves.
• 😀 If no one learns to code, we risk losing real software engineers, which could have serious consequences for mission-critical systems like banking and aviation.

Q & A

Why might learning to code not be as important in 2025?

Learning to code might not be as important in 2025 due to the rise of AI tools, like 'vibe coding,' that allow people to create apps and software without having to write any code. AI has improved so much that it can handle the coding for simple apps, games, and prototypes.

What is 'vibe coding,' and how does it work?

'Vibe coding' refers to using AI tools to build software by simply providing instructions, rather than writing traditional lines of code. AI handles the coding process, allowing users to create apps and games quickly and with minimal effort.

Why is the author cautious about trusting AI-written code in critical systems?

The author is cautious about trusting AI-generated code in mission-critical systems, like online banking or aviation, because while AI can handle simpler tasks, the reliability and security of such systems are crucial, and AI tools have not yet proven to be sufficiently robust in these areas.

How are junior developers being affected by AI tools in the job market?

AI tools are potentially replacing junior developers, especially in tasks that require basic coding skills. Companies may opt for AI solutions as they are cheaper and more efficient, reducing the demand for junior developers and making it harder for them to find job opportunities.

Why is it harder for junior developers to find work opportunities?

It’s harder for junior developers to find work because companies are increasingly turning to AI tools to handle entry-level tasks, rather than investing time and resources in mentoring and training new developers. This trend may limit the availability of opportunities for growth in the tech industry.

What pressure do current developers face in their roles?

Current developers are under pressure to use AI tools to increase productivity. However, these tools often don’t integrate well into the development workflow, leading to frustration. Developers may spend more time troubleshooting AI-generated code than actually coding themselves, which can impact their efficiency.

What key skills and practices are involved in traditional coding beyond just writing code?

Traditional coding involves a wide range of practices, including software design patterns, testing, debugging, quality assurance (QA), deployment, and performance optimization. Learning these aspects is crucial for producing secure, reliable, and high-quality software.

Why is it important to learn about other concepts like databases, networking, and concurrency when learning to code?

Understanding databases, networking, and concurrency is essential for grasping how software works in a broader context. These concepts help developers know what is possible when building software and ensure they can create applications that are both functional and scalable.

How can learning to code improve the use of AI coding tools?

Learning to code helps users make the most of AI tools by allowing them to articulate their requirements clearly. A coder can provide more detailed and specific instructions, which can help the AI generate better results. Additionally, they can fix issues or refine the code when the AI doesn't fully understand the task.

What argument is made about the future of engineers if coding is no longer widely learned?

The argument is that if no one learns to code, we risk losing real software engineers who can build reliable, secure systems. As technology evolves, there must be professionals who understand the complexities of software development to ensure the continued progress and safety of mission-critical systems.