Axal

What is Axal?

Axal is an advanced AI-driven solution designed to help organizations modernize legacy monolithic applications by converting them into scalable, modular architectures such as microservices. It automates the complex process of mapping codebases, detecting architectural bottlenecks like circular dependencies and domain boundary violations, and prioritizing refactoring tasks based on business impact. Axal’s AI autonomously implements code changes while ensuring code integrity through continuous testing, enabling faster feature delivery, reduced technical debt, and lower maintenance costs.

Key Features

• Automated Architectural Mapping

  Automatically analyzes static code dependencies and runtime behavior to map business domains and document code structure for full visibility.

• Technical Debt Identification and Prioritization

  Detects architectural issues such as circular dependencies, domain exclusivity violations, and god classes, prioritizing them based on business goals.

• AI-Driven Code Refactoring

  Leverages AI to autonomously fix architectural blockers and refactor code while ensuring all tests pass before and after changes.

• Incremental Modernization Support

  Supports the strangler fig pattern by identifying and prioritizing specific functionalities for incremental replacement and modernization.

• Continuous Adaptation

  Adapts automatically to ongoing code changes, eliminating the need for repeated manual re-architecting.

• Comprehensive Observability

  Provides detailed insights into codebase relationships at class and domain levels, enabling informed decision-making.

Use Cases

• Legacy Application Modernization : Organizations can efficiently transition large monolithic Java or C# codebases to modular or microservice architectures.
• Technical Debt Management : Engineering teams gain clear visibility and actionable insights to reduce architectural technical debt aligned with business priorities.
• Accelerated Feature Delivery : By automating refactoring tasks, development teams can focus on building new features while Axal handles structural improvements.
• Codebase Scalability Improvement : Enhances code maintainability and scalability by resolving architectural blockers and enforcing clean domain boundaries.
• Risk Mitigation During Refactoring : Ensures code integrity by running tests before and after AI-driven changes, minimizing the risk of breaking existing functionality.

FAQs