CARE is an AI-driven code review solution designed specifically for Gosu and Guidewire development environments. It is the first AI Gosu code review tool on the market, powered by Large Language Models (LLMs). CARE reviews thousands of lines of Gosu code in seconds, applies Gosu and Guidewire best practices, and provides AI-generated code suggestions directly within your version control workflows. 

CARE uses LLMs to carry out context-aware AI code review on your Gosu codebase. It analyses merge requests, identifies issues, suggests refactorings and policy-aligned changes. It can also generate or modify code snippets and write unit tests. This transforms the manual review process into a  faster, more consistent AI-assisted procedure for Guidewire implementations.

They can do so inside their usual Git-based workflows. They can reply to CARE’s review threads on a merge request, or mention CARE in a new comment as they would as a normal user. CARE responds in context, offering explanations, alternative solutions, code examples and updated versions of their Gosu code and unit tests. 

Yes. It can generate new Gosu code, refactor existing code, and create or update unit tests based on the changes in your merge request. This AI-powered assistant helps developers implement fixes and best practices faster, while ensuring that the team retains full control over what is finally merged. 

Yes. You can enrich CARE’s knowledge by providing your own data, whether structured or unstructured, such as internal coding guidelines, business rules, or project documentation. This enables CARE to understand your specific business context and apply your custom best practices alongside standard Gosu and Guidewire guidelines. 

No. CARE does not collect or store source code or customer data. Optional analytics on feedback to CARE’s threads can be enabled only to help improve the service. The connection to the LLM is encrypted, and sensitive data can be redacted using Google DLP to help you meet strict security and compliance requirements. 

CARE can be integrated with existing CI/CD pipelines and act as an AI-driven code review step. It provides pull-request decorators, approvals, commit scope analysis and merge prevention for GitLab, Bitbucket and Azure DevOps, thereby incorporating AI-driven checks into your standard workflow. 

CARE is delivered as a plug-and-play JAR file which can be executed locally or integrated into an existing pipeline. The initial setup, during which you define parameters such as the merge request ID, repository key, project base URL and access token, usually takes around 2–5 minutes. After that, CARE can automatically participate in reviews for every new merge request. 

CARE is ideal for teams working on Guidewire- and Gosu-based systems, especially for large or business-critical insurance projects. It brings the most value during active development, when AI-assisted code reviews can reduce the burden of frequent changes on review workloads. Beyond code checks, CARE acts as a AI-powered semantic reviewer – helping designers and architects assess intent, patterns, and system impact. This reduces manual effort, enforces Guidewire and Gosu best practices, and accelerates delivery across complex programmes. 

No. It augments them It automates repetitive checks, enforces Guidewire and Gosu best practices, and provides AI-driven architectural and semantic insights that would normally require the input of senior reviewers. Final approval remains with the team, resulting in faster AI-assisted reviews and more consistent, high-quality code across Guidewire and Gosu projects.