Integration Workflow Automation Agent is an AI-driven system designed to automate parts of structured software integration workflows.
This project originated from a real-world airline integration system where new airline providers must be integrated into an existing booking platform. While each airline exposes different XML structures and API behavior, the implementation inside the platform follows a largely stable architectural pattern.
For each provider, developers typically implement a set of converters, flows, mapping layers, and supporting tests. Although the domain logic differs, the overall implementation structure remains highly repeatable.
The functionality automated in this project represents one specific feature within a larger airline integration.
It was chosen as an experimental scope because it has a well-defined structure, clear boundaries, and a representative implementation pattern. This makes it a suitable candidate for exploring how structured implementation workflows can be automated.
This project explores how such implementation workflows can be formalized and executed as a staged automation pipeline.
The agent encodes the integration process into a sequence of controlled steps that:
generate the required implementation skeleton
create provider-specific converters and flow components
compile the target solution
execute tests
iteratively apply fixes
perform final refactoring once tests pass
Instead of relying on ad-hoc prompting in an IDE, the workflow itself is modeled as a structured multi-stage pipeline using LangGraph, where each stage has a clearly defined responsibility.
The automation is driven by curated inputs prepared by an engineer, such as:
implementation guidelines and conventions (the “how we build this” spec)
provider-specific rules distilled into structured notes
representative XML request/response examples
reference implementations and templates
prepared test assets to validate the generated code
By combining curated knowledge with staged automation, the agent can bootstrap integration components that would otherwise be implemented manually.
In the original development environment, implementing this feature for a new provider typically required 2–3 weeks of manual development.
With the automation pipeline, the process shifts to a few days of preparing curated knowledge and test assets, followed by an automated agent run of approximately 30–40 minutes that generates a compilable implementation and iterates until the associated tests pass.
This repository showcases the architecture, workflow design, and agent implementation behind that automation approach.
Due to confidentiality constraints, the proprietary target codebase used during development is not included.
