Bluecopa Leverages CodeRabbit to Reduce Bugs in Production

Bluecopa, a leading finance vertical platform that delivers a cloud based application to help their customers with automating various financial planning & analytical processes, enhancing data precision which leads to more data-driven business decisions for Finance teams. Bluecopa sought to streamline its development process, improve code quality, and foster a collaborative engineering culture across their team of 25+ engineers.

By leveraging CodeRabbit, Bluecopa achieved significant improvements in software release efficiency and code quality. This case study delves into the challenges faced by Bluecopa, the implementation of CodeRabbit, and the resulting benefits.

Business Challenges

As Bluecopa rapidly scaled its engineering team, maintaining code quality and consistency became increasingly challenging. Manual code review processes were time-consuming and often overlooked critical issues. The team sought various modern solutions to automate different aspects of their software development lifecycle, including the code review process. They were already using Github Copilot and Cursor for AI powered code development, Claude by Anthropic for data analysis, and now they were looking to add more agility in the code review stage.

"CodeRabbit's suggestions were really precise. We are now paying a lot of attention to typos, naming conventions, and the placement of types. It's fascinating and truly a proactive painkiller." - Ravi, Head of Engineering, Bluecopa

Looking for an AI-powered Solution

Bluecopa’s CEO is a 3x startup founder and has put emphasis on using cutting-edge engineering solutions for their engineering teams. Their engineering teams use AI internally a lot to help the product development lifecycle become more agile and easier to manage. They discovered CodeRabbit when they were specifically looking for AI solutions in code-review space that could help reduce the manual effort for developers and free up their time to focus on writing code. While at the same time the code review quality needed to meet a high bar so that it could replace the human effort in the first-pass of code reviews.

They looked at other products before CodeRabbit and eventually started to use CodeRabbit more frequently after being delighted with the quality of the AI-powered comments and feedback generated directly in the developers pull-request.

CodeRabbit Benefits

Bluecopa implemented CodeRabbit to address these challenges. They integrated CodeRabbit’s SaaS app with their GitHub organization and CodeRabbit enabled their team to:

• Get Started in literally two minutes: All it takes to use CodeRabbit is a simple integration with the GitHub organization and Bluecopa was up and running with AI code reviews in just two minutes.

• Fewer bugs in production: After implementing CodeRabbit, the engineering teams at Bluecopa immediately saw fewer bugs going into production. This saves a huge amount of time for developers as they can fix any issues well before they hit their customers in production.

• User reinforced learnings: Bluecopa engineers found the CodeRabbit comments in their GitHub pull requests to be very meaningful. They started interacting with the bot through a chat interface within the first week and that made it easier to understand why the underlying AI was identifying potential issues such as syntax errors, style violations, and security vulnerabilities.

• Automated test-cases: Without AI, it was more likely that Bluecopa’s fast moving engineering teams might miss out on test cases especially that cover edge-scenarios. But CodeRabbit’s AI was able to identify and recommend the test-cases to include in the code which improves overall code quality

• Foster Collaboration: Once the initial front-end engineering team at Bluecopa was happy with the AI code reviews, they expanded the use-case internally by inviting more of their back-end engineering team members and added more GitHub repositories to be reviewed by CodeRabbit. This facilitated seamless collaboration among team members, enabling knowledge sharing and code quality discussions.

Summary

Bluecopa really liked that the review comments were precise and accurate. Without AI, they may sometimes run into challenges where a human engineer doing manual code reviews may not be an expert in the programming language used to write the code. But with the power of AI all of those barriers break down and AI does the first pass of the reviews better than manual reviews.

Bluecopa continues to use CodeRabbit and is looking forward to the new features coming out on the roadmap such as BitBucket integration, support for Docstrings, a code editor plugin integration, and more!