Code Conversion Agent – AI-Powered Legacy Code Conversion

Overview: Code Conversion Agent is a multi-agent AI system designed to accelerate large-scale data platform modernization. It automatically converts DDL, DML, SQL stored procedures, and transformation code from legacy platforms to modern cloud-native stacks, preserving business logic with high fidelity and delivering full auditability.

Source Platforms: SSIS, Informatica PowerCenter, Oracle PL/SQL, SQL Server T-SQL, and all other RDBMS and EDW platforms.

Target Platforms (20+): • dbt on Snowflake, Databricks, BigQuery • PySpark on AWS Glue, Databricks, Apache Spark • Native SQL for Snowflake, BigQuery, Amazon Redshift

4-Stage Multi-Agent Pipeline:

1. Lineage Agent: Generates end-to-end data flow diagrams showing source-to-target transformations, dependencies, and system touchpoints. Provides visual validation context before conversion.

2. Conversion Agent: Translates source code into target-platform syntax. Handles DDL conversion, stored procedure translation, ETL logic mapping, and transformation rule adaptation. Preserves business logic, naming conventions, and data types.

3. Validation Agent: Validates correctness, completeness, and logic fidelity. Compares source and target outputs, checks semantic equivalence, and generates confidence scores per conversion unit.

4. AutoFix Loop: Automatically retries and patches validation failures. Iterates through failed conversions with modified approaches until validation passes or escalates for manual review.

Output: Downloadable ZIP with source vs. target code, validation reports, lineage diagrams, confidence scores, and execution logs.

Key Benefits: • Eliminates manual rewrite: converts full mappings in minutes instead of weeks • Multi-LLM flexibility: Gemini, GPT-4o, Claude, Ollama — no vendor lock-in • Customizable prompts: enforce naming standards and coding patterns • Enterprise auditability: pre/post-validation snapshots and confidence scores • Batch & scalable: parallel conversion of dozens of pipelines • Built-in lineage: auto-generated diagrams simplify validation • Cost transparency: tracks estimated LLM token usage for budget planning

Industry Applications: • Banking: Convert Oracle PL/SQL risk procedures to PySpark on Databricks. Lineage Agent maps hundreds of stored procedures for audit compliance. • Insurance: Migrate Informatica ETL to dbt on Snowflake for claims analytics. Validation Agent ensures actuarial logic preserved with 95%+ confidence. • Travel: Convert SSIS packages to AWS Glue PySpark. Batch processes hundreds of packages in parallel. • Healthcare: Migrate SQL Server stored procedures to Redshift SQL. AutoFix handles HIPAA-specific data handling logic.

Cloud-Native Deployment on AWS: Deployed on Amazon EKS. Amazon Bedrock provides multi-LLM reasoning. Amazon S3 stores source code and outputs. Targets: AWS Glue (PySpark), Amazon Redshift (SQL), Databricks on AWS