- Consulting services
EXL Code Harbor
Gen AI powered multi agent migration tool accelerating workflow assessment, data discovery, code conversion and testing with enhanced efficiency and governance
Code Migration Solution for Customer into their Azure Cloud Environment Leveraging EXL's Deep Domain and AI Expertise 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 conversion framework to accelerate migration of legacy codebases to modern, open-source languages. It also strengthens data and code governance. By automating the manual effort involved in writing and optimization of code, it transforms the process, leading to faster delivery, reduced costs, and improved accuracy. EXL collaborates with the client to implement the tool in their environment, execute the MVP, and then move forward with large-scale enterprise code migration projects. Alternatively, we can operate the tool on behalf of the client as a service or offer a full end-to-end migration solution. How it works: The key steps of the process include:
Detailed Analysis: 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.
Explanation: 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.
Chunking: Code pre-processing by splitting the source code into logical chunks, simplifying it for better quality conversion.
Conversion: Migrating source code to any language of choice, and then recompositing the code to get the full logic back.
Iterative Debugging: Agentic iterative debugging to solve for breaks and errors within the converted target code.
Optimization: Code optimization across code readability, syntax & function and logical improvements to enhance code performance, run time and memory usage.
Synthetic data generation: 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.
Testing: Creating test –and plan scenarios and generating the scripts to sufficiently test the code.
Output validation: Comparison of source code generated output with target code generated output across the suite of data validation and quality metrics. This human-in-the-loop step ensures complete input-output equivalency. Depending on the client's preference, it can be offered by EXL as a service or performed in-house by the client teams themselves.
Audit: Validate business logic and conditions present in codes to any structured or unstructured data.
Efficiency: Eliminate redundant code and enable performance optimization.
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!