Vì sao mình không sử dụng ChatGPT hay Claude để lập trình ?

Summary

In this video, an experienced IT professional shares their thoughts on using AI tools for programming. While acknowledging the impressive capabilities of AI tools like ChatGPT and others, the speaker expresses concerns about becoming overly reliant on them, potentially diminishing personal programming skills. They emphasize the importance of understanding code and developing strong programming abilities, particularly for job interviews and real-world problem-solving. The speaker advocates for using AI as a complementary tool rather than a crutch, recommending that it be used to enhance, not replace, one's programming skills.

Takeaways

• 😀 AI tools like ChatGPT and Gemini can significantly increase productivity and speed in programming, but they should be used wisely.
• 😀 The speaker fears that overusing AI tools in programming can lead to dependence, potentially diminishing one's own programming skills over time.
• 😀 Developing core programming skills by practicing coding, debugging, and problem-solving is crucial for growth as a developer.
• 😀 The speaker learned programming without the help of AI tools, building foundational skills that are essential for long-term success.
• 😀 While AI can generate high-quality code, understanding the code and how it works is essential for solving problems and developing complex projects.
• 😀 Relying too heavily on AI tools can make it harder to maintain or expand on projects in the future, as developers may not fully understand the code.
• 😀 A strong understanding of algorithms and coding principles is necessary to implement ideas effectively, not just use tools to copy-paste solutions.
• 😀 Being able to think critically and solve problems independently is key to excelling in technical interviews and coding challenges.
• 😀 For those learning programming, it’s important to develop problem-solving skills first before relying on AI tools for code generation.
• 😀 The speaker uses AI tools, but primarily for tasks like code refactoring, where AI helps improve structure without changing the functionality.
• 😀 AI tools should complement a developer’s skills, helping with efficiency without replacing the core process of learning and mastering programming.

Q & A

Why does the speaker recommend against relying too much on AI tools for programming?

The speaker is concerned that over-reliance on AI tools like ChatGPT, Gemini, and others could lead to a weakening of one's programming skills over time. They believe that constant dependence on AI may make developers forget how to solve problems and write code independently.

What is the speaker's stance on the quality of code generated by AI tools?

The speaker acknowledges that AI tools can generate high-quality code that is effective and solves problems. However, they warn that using these tools too frequently may lead to dependency, which could hinder skill development in the long run.

What is one of the key reasons the speaker continues to avoid using AI tools in programming?

One of the key reasons the speaker avoids AI tools is their fear of losing their ability to code independently. They emphasize the importance of maintaining the skill to write and debug code without relying on external tools.

What does the speaker suggest about the relationship between AI tools and programming education?

The speaker suggests that while AI tools can help increase productivity, students and beginners must develop their ability to solve problems and write code on their own. This is critical for mastering programming and succeeding in technical interviews.

How does the speaker explain the concept of 'understanding code' when using AI tools?

The speaker argues that understanding the code is crucial, even when AI tools generate it. This understanding ensures that developers can troubleshoot, optimize, and expand the code in the future. Without this comprehension, a developer may struggle with maintaining or improving the code later on.

What does the speaker mean by saying 'AI tools should support, not replace, your ability to code'?

The speaker means that AI tools should be used to enhance a developer's speed and efficiency, not to take over the process entirely. Developers should still retain the ability to write, understand, and optimize their own code.

What potential problem does the speaker identify for students or beginners who rely too heavily on AI tools?

The speaker points out that if students or beginners rely too much on AI tools, they may struggle during technical interviews, where they will be required to write and solve problems on their own, without AI assistance.

What is the significance of 'coding challenges' and 'technical interviews' in the context of this video?

The speaker highlights that coding challenges and technical interviews are common during job applications. These tests require candidates to demonstrate their ability to code without relying on external tools like AI, making it essential for developers to maintain their independent coding skills.

What is the speaker's opinion on using AI tools for 'code refactoring'?

The speaker is open to using AI tools for code refactoring, as long as they are not generating the entire code from scratch. The speaker uses AI to improve the structure and organization of existing code, but without changing the behavior or output of the code.

How does the speaker balance the use of AI tools in their own work as an AI engineer and educator?

As an AI engineer and educator, the speaker uses AI tools sparingly, mainly for code refactoring, while still ensuring that they teach students how to program from scratch. They aim to set an example for their students by demonstrating that coding skills are still essential, even when AI tools are available.