Identify if code is documented
using AI
Below is a free classifier to identify if code is documented. Just input your text, and our AI will predict if the code is documented - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-code-is-documented", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-code-is-documented/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-is-documented/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the code is documented.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Documented and Not Documented.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the code is documented).
Whether you're just curious or building if code is documented detection into your application, we hope our classifier proves helpful.
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Need to identify if code is documented at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Code Quality Assurance: Implementing the 'if code is documented' identifier can help ensure that code quality meets industry standards. By automatically flagging undocumented code sections, teams can maintain higher levels of readability and maintainability.
- Onboarding New Developers: New team members can benefit significantly from a well-documented codebase. The identifier can identify areas lacking documentation, enabling better structured onboarding and reducing the time new developers need to become productive.
- Regulatory Compliance: Many industries have stringent compliance requirements related to documentation. By utilizing the identifier, organizations can ensure that critical code functionalities are documented, helping to avoid regulatory issues.
- Code Review Optimization: During code reviews, the identifier can assist reviewers by highlighting undocumented code areas. This allows reviewers to focus their attention on parts of the codebase that require more scrutiny, improving the overall review process.
- Maintaining Legacy Systems: Legacy systems often have poorly documented code, leading to increased maintenance costs. The identifier can pinpoint undocumented sections, enabling teams to prioritize documentation efforts in legacy code, ultimately enhancing system stability.
- Improving Collaboration: In a team environment, clear documentation allows for better collaboration and knowledge sharing. The identifier can serve as a tool to enforce documentation standards within the team, making it easier for team members to communicate about code functionalities.
- Enhancing Automated Testing: Automated testing frameworks thrive on well-documented code to understand functionality and test cases. The identifier can help ensure that all relevant code sections are documented, leading to more effective and reliable testing processes.