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Using AI to Eliminate Bugs!

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A GPT-Assisted Approach


Using AI models like GPT to identify bugs in existing code can offer several valuable benefits:

  1. Improved Code Quality
    AI can help spot potential bugs, enhancing the reliability, stability, and overall quality of the code.
  2. Increased Efficiency
    Manual bug detection can be time-consuming, especially in large codebases. AI can automate this process, freeing developers to focus on more complex problem-solving tasks.
  3. Early Detection
    AI can identify potential issues early in the development process, making them cheaper and easier to fix compared to bugs found later in testing or production.
  4. Coverage and Scalability
    AI can scan through large amounts of code efficiently, providing broader coverage and making it particularly useful for large projects.
  5. Reduced Costs
    By finding bugs early, AI can reduce the cost of debugging and maintenance, as well as prevent potential operational losses caused by bugs in production.
  6. Learning Tool
    AI-identified bugs can serve as educational examples for developers, helping them understand common mistakes and how to avoid them.
  7. 24/7 Operation
    AI doesn't require breaks and can scan code for bugs around the clock, providing continuous support to the development team.

However, it's important to remember that while AI can identify many types of bugs, it's not infallible and may not catch all bugs, especially those that involve complex logic or require a deep understanding of the software's intended functionality. As such, it should be used as a tool to support, not replace, human code review and testing processes.

GPT Prompt

Describes any errors in the following code and show the correct code if there are any.

const Adjectives = ["Big", "Small", "Fast", "Slow", "Cute", "Short", "Tall"];
const Animals = ["Cat", "Human", "Dog", "Bird", "Fish", "Horse", "Elephant", "Whale", "Koala"];

const Permute = (
    adjectives: string[],
    things: string[],
) => {
    for (let i = 0; i <= adjectives.length; i++) {
        for (let j = 0; j < things.length; j++) {
            console.log(`The ${adjectives[j]} ${things[i]}`);

Permute(Adjectives, Animals);

Prompt Overview

In the prompt, we have a simple code sample that is meant to generate permutations of adjectives with things (animals, in this case). However, it seems to have a logical error in the iteration, causing an index mismatch. We ask GPT to identify any errors in the code and to generate the correct code if errors are found.

GPT Response

Here's the issue: The indices i and j are not being used correctly in the nested for loops. The code tries to print adjectives[j] and things[i], which is a mismatch because i is iterating over adjectives' indices and j is iterating over things' indices. This issue may lead to undefined values when i or j exceed their respective array lengths.

Additionally, i is allowed to reach adjectives.length due to the <= condition, which is beyond the bounds of the array.

Example (Corrected code):

const Adjectives = ["Big", "Small", "Fast", "Slow", "Cute", "Short", "Tall"];
const Animals = ["Cat", "Human", "Dog", "Bird", "Fish", "Horse", "Elephant", "Whale", "Koala"];

const Permute = (
    adjectives: string[],
    things: string[],
) => {
    for (let i = 0; i < adjectives.length; i++) {
        for (let j = 0; j < things.length; j++) {
            console.log(`The ${adjectives[i]} ${things[j]}`);

Permute(Adjectives, Animals);

Benefits and Conclusion

Even the simplest of bugs in our code can be elusive and time consuming to find. AI such as GPT shows tremendous promise in this space. Not only is it able to identify bugs, it is also able to provide a detailed explanation of the bug and what corrective action needs to be taken.

Was This Helpful?

If you found this blog post helpful, feel free to check out our other blog posts on using AI in software development at the Logobean Blog!

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