A young software developer working with multiple screens and AI coding tools, with bold overlay text saying "Why AI Coding Tools Are Becoming Popular with Developers" in navy blue, soft gold, and teal.

AI Coding Tools Are Getting Popular with Developers!

Intermediate | June 29, 2025

Read the article aloud on your own or repeat each paragraph after your tutor.

Why Developers Love AI Helpers

A Growing Trend

Have you heard that AI is changing the way people work? Well, it’s definitely happening in the world of computer programming! More and more software developers are starting to use special tools called popular AI coding tools to help them write code. It’s becoming a really big trend.

Benefits of AI Helpers

Why are these tools so popular? Simply put, they make coding faster and easier. AI assistants can suggest code as you type, complete common patterns, and even write small pieces of code for you automatically. This saves developers a lot of time on repetitive tasks, freeing them up to focus on more complex problems.

Popular AI Coding Tools

Some popular AI coding tools you might hear about include GitHub Copilot, Cursor, ChatGPT, and Gemini. These tools integrate directly into the software developers use every day to write code.

Changing How Developers Work

Evolving Developer Roles

Because AI can now write a significant amount of code, the job of a developer is starting to change. It’s becoming less about typing every single line of code from zero and more about guiding the AI, reviewing the code it creates, and making sure it works correctly.

AI in Interviews

In fact, this trend is so important that some companies are even letting job candidates use AI tools during technical interviews! They want to see how well future employees can work with AI, not just how they code traditionally.

Ongoing Skill Needs

While AI coding tools offer huge potential for boosting speed and happiness in coding, developers still need strong skills to understand, check, and improve the AI’s suggestions. It’s not just about letting the AI do everything; it’s about working together effectively.

Vocabulary

  1. Developers (noun): People who create software and write computer code.
    • Example: “The company hired ten new developers this year.”
  2. Popularity (noun): The state or condition of being liked, admired, or supported by many people.
    • Example: “The new video game quickly gained popularity among teenagers.”
  3. Efficient (adjective): Working in a way that uses time, energy, or resources well without wasting any.
    • Example: “Using a template made the process much more efficient.”
  4. Automate (verb): To use machines or computers to do a job or a process automatically.
    • Example: “The factory decided to automate the packaging line to increase speed.”
  5. Snippets (noun): Small pieces of something, especially programming code.
    • Example: “The AI tool can generate code snippets to help you start.”
  6. Debugging (verb): The process of finding and correcting errors in computer hardware or software.
    • Example: “She spent hours debugging the program to fix the errors.”
  7. Workflow (noun): The sequence of industrial, administrative, or other processes through which a piece of work passes from initiation to completion.
    • Example: “Integrating AI tools into the development workflow improved productivity.”
  8. Integrate (verb): To combine one thing with another so that they become a whole.
    • Example: “New features are planned to integrate seamlessly with the existing software.”
  9. Potential (noun): Possibilities that could happen in the future.
    • Example: “The project has the potential to change the industry.”
  10. Adapt (verb): To adjust to new conditions.
    • Example: “Developers need to adapt to new technologies like AI.”

Discussion Questions (About the Article)

  1. What is the main trend discussed in the article?
  2. According to the article, why are AI coding tools becoming popular?
  3. How is the role of a software developer changing because of AI?
  4. What do some companies do during technical interviews now?
  5. Besides using AI, what skills do developers still need?

Discussion Questions (About the Topic)

  1. Do you think AI will make coding easier or harder in the future? Why?
  2. What are some jobs that might be affected by AI like programming?
  3. How can students prepare for a future where AI tools are common in many jobs?
  4. What are the possible good and bad things about using AI so much in work?
  5. Have you ever used an AI tool to help you with a task? What was your experience?

Related Idiom

“Level up”

  • Meaning: To improve a skill or ability; to advance to a more challenging or skilled level.
  • Example: “Using AI coding tools can help developers level up their efficiency and focus on harder problems.”

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This article was inspired by: The Times of India, Date: June 24, 2025


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