EXL Code Harbor

Generative AI has tremendous potential for boosting coding efficiency. However, organizations frequently encounter major obstacles in its adoption, such as security, scalability, IP considerations, and hallucinations. EXL Code Harbor tackles these issues with a comprehensive and reliable approach. EXL Code Harbor is a Generative AI-powered service that utilizes a multi-agent framework to accelerate enterprise-scale code and data transformation. By automating the manual effort involved in assessing, writing and optimization of code, it transforms the process, leading to faster delivery, reduced costs, and improved accuracy. EXL offers an AI-assisted delivery model that combines the power of Code Harbor and human expertise to manage end-to-end migrations efficiently. Our approach allows clients to choose between a fully managed migration or a hybrid model, where we provide Code Harbor licenses for client teams to collaborate on the migration process. We work closely with clients to implement the tool in their environment, execute a MVP migration, and then scale up to enterprise-wide transformation. Clients can also opt for EXL to operate the tool as a service in EXL environment.

How it works: The key agents of Code Harbor include: Code Assessor: An under the hood analysis to understand the size, scale & complexity of the legacy codebase. It helps EXL to perform accurate effort estimation for the migration. Business Analyst: Detailed documentation of each code into its natural language with descriptions of each function, step and key concepts of the code. Data Lineage: A pictorial, logical, and json view showing the flow of the logic from one table or variable over to another along with table and variable transformation logic tracked for both backward and forward lineage. Data Dictionary: Metadata creation mapping raw, intermediate and final derived tables along with variable format, description, transformation logic, source table and source variable for each variable within each table.

Code Simplifier: Code pre-processing by splitting the source code into logical chunks, simplifying it for better quality conversion. Code Migrator: Migrating source code to any language of choice, and then recompositing the code to get the full logic back. Code Debugger: Agentic iterative debugging to solve for breaks and errors within the converted target code. Code Optimizer: Code optimization across code readability, syntax & function and logical improvements to enhance code performance, run time and memory usage. Synthetic Data Generator: Test data creation either through reference data leveraging GANs or through a data dictionary in the absence of reference data to test and validate the converted target code output with source code output. Data Validator: Comparison of source code generated output with target code generated output across the suite of data validation and quality metrics. Documentation: Create comprehensive documentation to explain the coding process.

Tool Requirements: The tool requires Azure Blob Storage, Azure Monitor, Azure Key Vault, and Azure Container Registry. The inferencing requires Azure Machine Learning, Azure Kubernetes Service (AKS) communicating with the Finetuned Model, along with Azure SQL Database in the Azure tech stack. Multi-geography availability is achieved through Azure Load Balancer.

Why Choose Our Code Harbor Solution? EXL team has extensive experience supporting Fortune 500 companies in their code migration journey at enterprise scale. We offer an end-to-end service for code diagnostic & analysis, code explanation, metadata creation and lineage, conversion, test data generation, iterative debugging & testing, along with data validation, code optimization and process documentation. The pipeline is model agnostic, and it is possible to integrate based on client’s choice. EXL combines deep domain expertise and AI capabilities to offer a successful code migration experience to our clients. Contact us today!