Analyzing PL/SQL and T-SQL code using Amazon Bedrock

This article discusses how to analyze PL/SQL and T-SQL code using Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models from leading AI companies. The solution involves using natural language processing (NLP) techniques to break down complex code into more comprehensible summaries and explanations.

Specifically, the article covers:

• Solution overview - The architecture involves using Streamlit as a frontend interface, a Lambda function as an intermediary layer, and Amazon Bedrock for code analysis.
• Prerequisites - You need an AWS account, AWS CLI (optional), access to Amazon Bedrock, Streamlit, and AWS SDK for Python installed.
• Setting up the Streamlit frontend - Instructions on creating the Streamlit frontend with code snippets.
• Creating the Lambda function - Steps to create a Lambda function that interacts with Amazon Bedrock, including code snippets.
• Running the Streamlit application - Instructions on running the Streamlit application locally or deploying it to a hosting platform.
• Conclusion - The solution can help developers better understand the functionality and intent of complex PL/SQL and T-SQL code.