Build integration flows and transformation logic faster with AI
Bring AI assistance to integration development
App Connect Flow Pilot brings AI-assisted integration development to App Connect Toolkit and external integrated development environments (IDEs), including Visual Studio Code. It works with enterprise-approved AI assistants such as IBM Bob™ and GitHub Copilot. It helps integration developers understand existing integration flows and transformation logic written in ESQL and Java™. Developers can then plan, build and maintain integrations faster while adhering to organizational standards, security policies and governance requirements.
Features
How it works
- Build with AI prompts
- Use your trusted AI
- Understand flows and code
- Use AI in preferred IDEs
Generate integration artifacts with prompts
Create integration flows, mappings and other artifacts from natural language prompts. Reduce manual development effort and accelerate delivery by transforming business requirements into implementation-ready integration assets with AI-assisted authoring.
Work with enterprise-approved AI assistants
Use your trusted enterprise-approved AI such as IBM Bob or GitHub Copilot. Enable AI-assisted development while aligning with organizational security requirements, governance standards and approved technology strategies.
Understand existing flows and logic faster
Analyze existing integration flows and complex transformation logic written in ESQL and Java. Gain rapid insights into complex or long-standing integrations through AI-generated explanations that simplify understanding.
Access AI assistance in preferred development environments
Use App Connect Flow Pilot capabilities in the App Connect Toolkit and external IDEs such as Visual Studio Code. Bring AI-assisted integration development into the tools developers already use, improving productivity while maintaining familiar workspaces.
Use cases
Apply AI assistance across the integration lifecycle
Accelerate the modernization of long-standing integration solutions by helping teams understand existing flows, transformation logic and dependencies. Reduce the effort required to analyze legacy assets, update implementations and extend integrations while protecting existing business investments.
Help architects and COE leaders establish consistent integration practices across projects and teams. Embed guidance for naming conventions, logging, error handling, reusable patterns and development standards to improve quality and governance.
Enable teams to adopt AI-assisted integration development through enterprise-approved AI assistants while maintaining organizational controls. Support existing review processes, governance requirements and security policies without disrupting established development practices.
Reduce delivery delays by helping developers create, update and troubleshoot integration assets more efficiently. Use AI-assisted authoring and guidance to accelerate routine development tasks, improve productivity and help teams address growing integration backlogs.
Receive AI-assisted guidance from initial planning through development, maintenance, modernization and troubleshooting. Help teams deliver integrations faster, resolve issues more efficiently and continuously improve existing integration assets across their lifecycle.