
All the Guidewire knowledge at your service
All the Guidewire knowledge at your service
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.
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.
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.
Always Aligned with the Latest Guidewire Standards
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.
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As the first AI Gosu Code Reviewing tool in the market, powered by coding-benchmark leading Large Language Models, CARE offers the widest knowledge base of Gosu best practices, reviewing thousands of lines of code in seconds and providing code assistance and generation on the most popular Version Control Software systems.
Yes, you can discuss with CARE by replying to its threads on your merge request or tag it as a normal user in a new comment. CARE can generate or modify existing code, write unit tests and much more.
Yes, you can enrich CARE knowledge with your own unstructured or structured data, allowing CARE to understand your business or learn new best practices effortlessly.
No, CARE does not collect any code or customer data. Optional analytics on CARE generated threads feedback can be collected to improve our service. The connection to the LLM is encrypted and private, while sensitive data can be redacted from prompts via Google DLP.
Yes, CARE offers pull request decorators, approvals, commit scope analysis, and merge prevention for GitLab, BitBucket and AzureDevOps.
CARE is a plug-and-play jar that can either be executed locally or integrated into any existing pipeline. A first time setup to define basic parameters such as merge request ID, repository key, project base url and access token would take approximately 2-5 minutes.
Being in progress of implementing Guidewire Claim Center, a leading Scandinavian insurer wanted to assure that the code produced by ...
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