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The Kimputing AI Philosophy
Test automation exists to provide consistent validation. AI tools should be an enhancement, not a dependency.
AI READY FRAMEWORK
CenterTest's existing architecture makes it the perfect candidate for LLM-driven, agentic development and support.
Scenarios and generated test assets read like plain English, so AI assistants understand intent immediately.
CenterTest Analytics database follows a documented schema, enabling reliable queries.
OOTB scenarios, along with your growing code base, give AI assistants proven development patterns for making development and maintenance suggestions.
FRAMEWORK INDEPENDENCE
AI-native tools embed AI decision making into testing. This introduces probabilistic variability where deterministic consistency is essential.
With CenterTest, your tests execute the same way every time. AI provides support, but execution remains deterministic, and your automation foundation remains insulated from AI market volatility.
If you decide to shift your AI governance model - deploy a local LLM, shift enterprise agentic solution providers, or stop using AI entirely - your CenterTest automation framework never skips a beat.
CenterTest, the Recorder and Data Studio contain no AI. You choose the AI provider, or none at all.
ENTERPRISE SECURITY
Your organization can implement the appropriate enterprise security controls to responsibly govern AI access, and since CenterTest uses controlled deployment, sandboxing is easy.
Tool restrictions and directory scoping can require explicit approval for specific AI behavior or restrict that behavior entirely, and the CenterTest documentation MCP server can run inside your network, so questions and stack trace analyses never leave your environment.
FLEXIBLE DEPLOYMENT
CenterTest requires no AI tooling. The core framework delivers complete test automation capability without AI involvement.
Organizations prepared to adopt AI assistance in their test automation practice can leverage different AI models - locally deployed, cloud enterprise, or hybrid - and agentic engineering skills, workflows, and MCP integrations can be structured to fit your governance and security policies.
In its most simple, secure form, AI can provide documentation support without any access to code or agentic behavior. When you're ready, more powerful agents can be added to support development and analytics.
CenterTest AI Toolkit
Skills and MCPs
FOR BUSINESS & DEVELOPMENT TEAMS
AI Model Context:
- CenterTest Documentation MCPArchitectural References
- ReportPortal MCPTest Execution History
- IntelliJ MCPTest Code & Data Repository
- PostgreSQL MCP or APIComprehensive Analytics Data
Agentic Engineering Skills:
- Recording-to-TestA compiling test from a Recorder session
- CSS ID FinderScreen Fields to Test Code
- Test Data ToolsSound test data, checked before a run
- Health CheckTest code quality, reported
CenterTest Documentation MCPArchitectural References
Your assistant answers CenterTest questions from Kimputing's own documentation, before it spins its wheels troubleshooting.
Configuration, patterns and error codes explained
BA support for Data Studio and Recorder
Hosted or deployed locally
ReportPortal MCPTest Execution History
CenterTest sends every run to ReportPortal: results, stack traces, screenshots, logs, narratives, videos, documents and more. Anyone on the team can ask:
When did this test start failing?
Does it fail everywhere?
What was the failure summary?
IntelliJ MCPTest Code & Data Repository
Connects your assistant to your project's code, so answers follow your own tests, steps and conventions, even for people without an IDE installed.
What does this test do?
Is this already covered?
Which tests use this step?
PostgreSQL MCP or APIComprehensive Analytics Data
CenterTest records every run in your own database. With read-only access, plain questions become persistent reports, without waiting for a report developer.
Which tests fail most, and where?
Is the suite getting slower?
A stakeholder summary on demand
Recording-to-TestA compiling test from a Recorder session
Analysts record a flow once, at normal speed; engineers review a test built the way your project already builds them.
Recorded checks become assertions
Nothing written until approved
Reuses your login and patterns
CSS ID FinderScreen Fields to Test Code
Point at a field on a Guidewire screen and get the exact line of test code that reaches it, from your generated page objects.
Is this field already reachable?
Table rows and iterators handled
Guidewire 9 and 10 IDs
Test Data ToolsSound test data, checked before a run
Keeps the spreadsheets behind your tests trustworthy, and shows anyone what a data change touches before it ships.
Broken references caught before a run
Readable changes versus main
Which tests use each data file
Health CheckTest code quality, reported
Gives leads a shareable measure of test-code quality, and gives engineers the same review on every pull request, whoever wrote it.
CenterTest rule breaches flagged
Possible hard-coded credentials
Quality trend, month by month
Ready to elevate your QA practice?
Guidewire test automation,
- Guidewire test automation, that's easy to maintain.
- Guidewire test automation, in just two weeks.
- Guidewire test automation, future-proofed for cloud.
