8 Rules For Learning to Code in 2025...and should you?

Summary

In this video, the speaker challenges the belief that AI will replace coding jobs, emphasizing that while AI is growing, it still only impacts a small percentage of businesses. Developers with coding skills are still in high demand, and those interested in the field can succeed by putting in the work and having a passion for coding. The speaker shares eight essential rules for learning to code in 2025, including loving the process, setting a clear plan, staying focused, networking, overcoming fears, and learning independently before relying on AI. The path to success is difficult but achievable with dedication.

Takeaways

• 😀 AI is currently not used by 94% of U.S. companies, meaning there is still ample opportunity for developers to make an impact in the technical field.
• 😀 Learning to code is still a viable path despite the rise of AI; coding skills will remain in demand for the foreseeable future.
• 😀 AI can assist in the early stages of app development, but as apps scale, human developers will be needed to take them further.
• 😀 Success in coding requires passion. If you don't love coding, it will be challenging to stay motivated in the long run.
• 😀 There is no shortcut to mastering coding; it takes consistent hard work and dedication to truly learn the craft.
• 😀 A clear, detailed plan is essential when learning to code. The more specific you are about your learning path, the better your chances of success.
• 😀 Focusing on your specific goals without getting distracted by every new technology or tool will help you stay on track and make real progress.
• 😀 Networking is crucial to your success as a developer. Building a strong network can help you land jobs and grow your career.
• 😀 Overcoming fear and self-doubt is essential when applying for jobs. You'll need to believe in your skills even when facing challenges or rejection.
• 😀 AI should be used cautiously in the learning process; relying too much on AI to write code can hinder your ability to master the fundamentals of programming.

Q & A

What is the main argument against the idea that coding is no longer necessary because of AI?

The main argument is that while AI is being adopted, it is still not widely used in most companies (94% of U.S. companies are not using AI), and the need for skilled developers will continue to grow, especially as AI is further integrated into technology. Additionally, developers who understand coding and problem-solving will be at the forefront of innovation.

What is the biggest current use case for AI according to the speaker?

The biggest use case for AI right now is in web and mobile app development. This area offers significant opportunities for those with technical skills, particularly in development, despite AI's increasing presence.

Why does the speaker believe learning to code is still valuable in 2025?

The speaker believes learning to code is still valuable because AI is still in its early stages of integration, and most companies have not yet adopted it. Developers with coding skills will continue to be essential in creating and maintaining systems, and will have a foundational understanding that will help them adapt as AI evolves.

What is the first rule for learning to code in 2025?

The first rule is that you have to love coding. Passion for coding is essential for long-term success in the field, as simply doing it for the paycheck without genuine interest will likely lead to burnout.

What is the importance of putting in the work when learning to code?

Putting in the work is crucial because there are no shortcuts to learning coding. Even with AI tools that can assist with writing code, developers must still learn the fundamentals, solve problems, and build projects to truly understand the craft and become employable.

How does the speaker recommend structuring your learning plan for coding?

The speaker recommends creating a highly specific learning plan, detailing which courses you will take, how long you will spend on each topic, and when you will complete specific milestones. A clear and detailed plan will help you stay on track and ensure consistent progress.

What role does distraction play in learning to code, according to the speaker?

Distraction is a major obstacle. The speaker advises putting on 'blinders' to avoid getting sidetracked by other opinions or learning paths. Sticking to your specific plan without deviating will help you make significant progress over time.

Why is networking important in the process of learning to code?

Networking is important because it helps you connect with others who can vouch for your abilities, share opportunities, and provide guidance. It can significantly ease the job search process and create career opportunities through connections.

What challenges might learners face when applying for coding jobs?

Learners will likely face fears and doubts when applying for jobs, especially if they are self-taught. The process of overcoming these fears and believing in your abilities is essential to securing a job in the coding field.

What advice does the speaker give regarding the use of AI in the learning process?

The speaker advises against relying on AI when learning to code. While AI can be a helpful tool, it's important to master the fundamentals and solve coding problems independently before using AI as a sidekick in the learning process.