Identify if code follows style guide using AI

Below is a free classifier to identify if code follows style guide. Just input your text, and our AI will predict if the code follows the style guide - in just seconds.

if code follows style guide identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-code-follows-style-guide", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-code-follows-style-guide/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_text_here"}
    )
})
.then(response => response.json())
.then(data => console.log(data));
            

curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_text_here"}' \
    https://www.nyckel.com/v1/functions/if-code-follows-style-guide/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the code follows the style guide.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Does Not Follow Style Guide and Follows Style Guide.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the code follows the style guide).

Whether you're just curious or building if code follows style guide detection into your application, we hope our classifier proves helpful.

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Need to identify if code follows style guide at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Code Quality Assurance: This use case involves automatically checking whether submitted code adheres to predefined style guides, which can include naming conventions, indentation, and documentation standards. By integrating this functionality into the CI/CD pipeline, organizations can ensure that all code meets quality standards before it is merged or deployed.

  • Automated Code Review: Developers can leverage this text classification function during code reviews to quickly identify sections of code that deviate from the style guide. This allows reviewers to focus on more complex issues while automatically flagging style inconsistencies to maintain code readability and maintainability.

  • Developer Training and Onboarding: During onboarding, junior developers can use the style guide compliance feature to self-check their code submissions. This helps new team members learn the coding standards efficiently, reducing the learning curve and enhancing overall code consistency from the start.

  • Legacy Code Refactoring: Organizations looking to modernize and standardize their legacy codebases can utilize the style guide compliance function to identify non-compliant code snippets. By systematically addressing these violations, teams can refactor and improve legacy code for better maintainability and integration with new systems.

  • Continuous Integration/Continuous Deployment (CI/CD) Enforcement: Integrating this text classification into a CI/CD pipeline can prevent non-compliant code from being deployed. By enforcing style guide adherence as a mandatory check, teams can maintain high standards across all stages of development and reduce bugs associated with poor coding practices.

  • Code Compliance Metrics Reporting: Teams can gather data on style guide adherence over time using this function to generate compliance metrics and trend reports. Analyzing these metrics can provide insights into coding practices, helping management make informed decisions on training needs or adjustments to the style guide.

  • Custom Style Guide Development: Organizations may also create custom style guides tailored to their unique development environment and culture. This true text classification can assist in evaluating the effectiveness of these custom guidelines by measuring compliance levels and suggesting areas for further refinement and improvement.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

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