CodeBERT

Input a natural language query.

Tokenize the query using CodeBERT's tokenizer.

Encode the query into embeddings using CodeBERT.

Search a code database for snippets with similar embeddings.

Return the most relevant code snippets.

Input a code function or class.

Tokenize the code using CodeBERT's tokenizer.

Encode the code into embeddings using CodeBERT.

Generate a natural language description based on the code embeddings.

Output the generated documentation.

Input a partial code snippet.

Tokenize the code using CodeBERT's tokenizer.

Encode the code into embeddings using CodeBERT.

Predict the next token or code segment based on the embeddings.

Suggest the completion to the developer.

Input a code snippet with masked tokens.

Tokenize the code using CodeBERT's tokenizer.

Predict the masked tokens based on the surrounding context.

Evaluate the accuracy of the predictions.

Input a code change.

Tokenize the code change using CodeReviewer.

Analyze the code for potential issues.

Generate review comments and suggestions.

Output the review comments to the developer.