
The DynaCov Platform
DynaCov leverages proprietary algorithms to test and validate the migration of MicroServices / Web Services / APIs from legacy environments to target environments.
Agentic AI for
Sofware Unit
Testing

DynaCov Platform Features
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DynaCov provides real-time information about the quality of your code, making it easy to identify and fix bugs before they become a problem. Our solution enables developers to create unit tests from their IDE, saving time and money while increasing quality awareness.
Code Quality

Machine
Learning
DynaCov uses M/L to adapt to each user's development style, unit testing requirements, and the code base of their applications. This means that the more DynaCov is used, the more powerful it becomes for each user.
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Analyze existing unit tests to identify redundant or inefficient tests. The service can suggest optimizations and refactor tests to make them more robust.
Implement AI-driven predictive analysis to determine the impact of code changes on the existing test suite. The service identifies which parts of the code are most likely to be affected by new changes and prioritizes relevant tests accordingly.
OPTIMIZATION


Seamless IDE Integration
Intelligent Migration Testing
Speed, Security, and Cost Efficiency
DynaCov integrates directly into your existing development environment as a lightweight plugin, enabling real-time test generation within your IDE. There's no need to switch tools or change your workflow—just faster, smarter testing right where you work.
Our platform doesn’t stop at unit testing. DynaCov intelligently tests and validates the migration of Microservices, Web Services, and APIs from legacy systems to modern target environments. Whether you're refactoring, replatforming, or scaling, DynaCov ensures a seamless and reliable transition.
DynaCov delivers in seconds what typically takes hours—or even days—saving teams both time and money. With a single-tenant architecture and no code retention for training purposes, your intellectual property stays secure and private.
Why Dynacov?

Smart Testing
AI-generated unit tests in seconds fast, accurate, effortless.

Service Migration

ML Adaptation
Learns your code style to deliver smarter, personalized testing.

Test Optimization
Removes redundancy and improves test suite efficiency.
Problems Solved
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Digital Transformation, involves:
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CI/CD initiatives demanding quality and speed of software development
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Creation and/or migration of Web Services, Microservices and APIs which can be complex, demanding accuracy and efficiency
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Unit Testing is a critical element in Software Quality Assurance
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Unit Testing a labor intensive activity for developers resulting in incremental cost and increased cycle time

Platform
Architecture

What Our Partners Say
We had a troublesome client. Even though I had never used it before, it was easier and faster for me to install and use your IntelliJ plugin than it would have been to write and execute my own tests."
"After days of trying to find the root cause of a bug with several developers it identified the problem in about 2 minutes”
Senior Developers - Abacus Cambridge Partners