Intelligent Code Migration for Databricks
Our AI agents automate the conversion of PySpark and PL/SQL to production-ready Databricks & Scala Spark notebooks.
A Multi-Agent System for Reliable Migration
BayesLakeShift uses a sophisticated team of specialized AI agents that collaborate to convert, review, secure, and optimize your code.
Multi-Language Conversion Agents
Specialized agents that translate legacy PySpark to Databricks, PySpark to Scala Spark, and Oracle PL/SQL into modern, optimized Databricks notebooks, handling complex logic and syntax transformations.
HMS-to-UC Bridge Assist
An agent that ingests legacy Hive Metastore DDLs, generates equivalent Unity Catalog objects and tag mappings, and provides a pre-flight “blast radius” report to de-risk your migration.
Interactive Clarification Agent
When the conversion agent encounters ambiguous code, it doesn't guess. It triggers an interactive agent that pauses the process and asks for your guidance with specific choices, ensuring accuracy.
AI Peer Review & Refactoring Agents
After conversion, a separate AI agent reviews the code for hallucinations and errors. If issues are found, it instructs a refactoring agent to automatically correct the code before you see it.
Grounding Agent with Tools
To prevent inventing non-existent functions, the conversion agent is required to use a tool to verify every Databricks function against a trusted knowledge base, grounding its output in facts.
PII Detection & Policy Synthesis Agent
A security-focused agent that scans for Personally Identifiable Information (PII) and automatically proposes Unity Catalog masking policies and least-privilege access grants to protect sensitive data.
Vulnerability Scanner Agent
The AI peer review agent actively hunts for code patterns susceptible to SQL injection and automatically instructs the refactoring agent to rewrite them into safer, parameterized code.
Secrets Audit Agent
Scans converted code for embedded credentials, API keys, and sensitive URLs. Enforces the use of workspace secrets and provides remediation instructions to the refactoring agent.
Expectation Generator Agent
Mines business rules from legacy SQL and ETL scripts (e.g., WHERE/HAVING/CASE patterns) and automatically converts them into modern Delta Live Tables (DLT) Expectations for data quality testing.
Regulation Mapper Agent
Analyzes generated code and security artifacts to map them against common regulatory control frameworks (like GDPR & HIPAA), highlighting which controls are addressed and flagging potential compliance gaps for review.
Golden Set Builder Agent
Creates a compact, synthetic 'golden dataset' and corresponding assertions derived from business logic, enabling robust regression testing after code conversions or refactoring.
Tokenized Test Data Agent
Analyzes code to find PII columns and generates realistic but entirely synthetic test data. This allows you to test pipelines with data that looks real without ever exposing sensitive customer information.
Code Optimization Agent
An expert AI agent analyzes your converted code to provide actionable recommendations for improving performance and cost-efficiency on the Databricks platform.
Natural Language Code Query Agent
Chat with your code. Ask an AI agent questions in plain English—like 'What is this script's data source?'—and get instant, context-aware answers without leaving the app.
AI-Powered Help Agent
Get instant help from an AI assistant that has been trained on the application's features and capabilities. Ask questions in natural language and get immediate answers.