TykeVision offers an AI copilot that utilizes Latent Semantic Analysis and Dynamic Program Analysis to assess the impact of code changes and automate test creation. This technology addresses issues of poor documentation and inadequate change assessments, enabling teams to deliver bug-free code and improve production quality.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams often struggle with inadequate documentation and incomplete change impact assessments, leading to production bugs, system disruptions, and the need for hotfixes and rollbacks. Existing regression suites can become outdated, and manual test setup is time-consuming, hindering the ability to deliver reliable code changes.
Solution
TykeVision offers an AI copilot that leverages Latent Semantic Analysis, Dynamic Program Analysis, heuristics, and meta-learning to assess the impact of code changes and automate test creation. The platform helps evaluate the business impact of code changes, identify APIs affected by database modifications, and empower engineering teams to assess the magnitude and nature of the impact prior to deployment. TykeVision also facilitates realistic regression testing by simulating real-world scenarios and generating fresh regression suites for every change request.
Target Audience
TykeVision targets engineering leaders and software development teams committed to delivering bug-free code, scaling their systems while maintaining production quality, and prioritizing user experience.
Features
- Code change impact assessment to evaluate the business impact of modifications to operations, methods, or functions
- API identification to determine which APIs are affected by database changes
- Automated test generation that covers critical boundary and edge cases
- AI-powered dependency identification and automated data setup
- Load testing with real-world loads, mimicking exact production conditions
- Test execution engine that is 40x faster than legacy Java and Python-based tools
- Automated and continuous API documentation