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CARE Code AI Review Excellence 

All the Guidewire knowledge at your service

CARE Code AI Review Excellence 

All the Guidewire knowledge at your service

Care for Excellence

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CARE is an enterprise-grade AI-driven code review solution tailored for Gosu and Guidewire development environments.

Enhance productivity and efficiency by shortening development cycles and automate quality assurance.

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Join Industry Leaders Who Trust Sollers

Instant, Actionable Code Insights for Smarter Merge Decisions

Deliver immediate feedback on your merge requests, providing detailed analysis that highlights critical issues and progress trends.

Empower your development teams and IT leadership with actionable insights to drive informed, timely decisions and maintain code quality at scale.

 

code insights

Context-aware Seamless Code Solutions

Potential code issues are detected in real time and highlighted directly within the code, enabling swift identification of errors.

Apply fixes in one click without requiring context switches to an IDE or manual adjustments.

Speed up development efficiency by reducing correction time and lowering the risk of human error.

 

 

500 000
lines of code reviewed hourly
7500 +
Guidewire pages analysed
50 mln +
lines of code trained on
20 years
of innovation in Quality Assurance

Always Aligned with the Latest Guidewire Standards

 

With access to over 7,500 pages of official Guidewire documentation and real-time updates upon every new release, CARE acts as your most informed Guidewire expert. Its hosted intelligence delivers up-to-date Guidewire insights instantly — no plugin updates needed — ensuring every review reflects the latest standards while meeting enterprise security expectations.

Pair Reviewing with Interactive AI Assistance

 

Engage in dynamic, context-aware conversations directly within your version control system. The code review assistant enables developers to chat, tag, and reply to CARE-generated threads, fostering clear and efficient communication around code quality and improvements. By integrating conversational AI into your existing workflows, teams can resolve issues faster, maintain better traceability, and elevate their code review process without switching tools or losing context.

 

Our Expertise, Your Environment

 

CARE integrates seamlessly with Azure DevOps, GitLab, and Bitbucket and supports every past and future version of Guidewire InsuranceSuite, enabling teams to incorporate it into existing workflows with minimal disruption. Organizations maintain full control over what CARE reviews, with no data shared externally or used to train language models. All analysis is conducted within strict privacy and security boundaries, ensuring compliance and safeguarding sensitive code — while delivering precise, contextual insights.

 

Gosu and much more…

CARE extends beyond Gosu to review Java, XML, JavaScript, and other common languages found in Guidewire projects. This comprehensive coverage ensures consistent quality across the full technology stack, including integrations, frontend customization, and configuration files—critical for delivering stable, enterprise-grade Guidewire implementations. roadmap
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Contact Us

Martyna Tomica
Martyna Tomica
Head of Quality Assurance
kacper ziatkowski contact photo
Kacper Ziatkowski
Quality Assurance Product Manager
Frequently asked questions about CARE
What is the difference between CARE and other code analyzer tools?
Can I interact with CARE?
Can I extend CARE knowledge with my own data?
Does CARE store my code? How is sensitive data handled?
Does CARE integrate with CI/CD and VCS tools?
How long does it take to install CARE?

Technology & Market Insights

GoQu
GoQu, GOSU The essential role of Code Analysis and Quality Assurance in the Insurance Market
Sollers How did a leading insurer in Scandinavia assure code quality for a large project?

Being in progress of implementing Guidewire Claim Center, a leading Scandinavian insurer wanted to assure that the code produced by ... Read more

cover of the article for spaghetti code with main info and authors
static code analysis How modern static code analysis tools are shaping the future of tech businesses