How KeyValue Software Systems Leveraged AI to Accelerate Code Reviews

At a Glance:

Primary contact: Shanimol. E.M, Engineering Manager
Company: KeyValue Software Systems
Coding languages used: Golang, Flutter, Next.js, React, Python
Challenge: Time-consuming, inconsistent, and error-prone manual code reviews slow development.
Key Result: More than 50% reduced code review time, enabling faster releases and improved efficiency.

KeyValue Software Systems is a premier global AI-first product development hub and the best delivery engine in the Indian subcontinent. With a 400+ strong engineering team, the company has built and delivered 120+ products for 80+ companies over the last eight years. Its expertise spans industries, geographies, and technologies, leveraging AI to create high-value software solutions. At KeyValue, Shani leads a 20-member engineering team developing a fintech product to help tech startup operators, founders, and investors create and manage wealth. The team focuses on delivering a secure, fast, and reliable user experience.

Business Challenges – Manual Code Reviews Slowing Down Development

As a product development partner for fast-moving startups and scaleups, KeyValue Software Systems prioritizes rapid feature releases. However, manual code reviews have created bottlenecks in the development process.

Key Challenges:

Time-consuming manual Reviews: Engineers spent excessive time reviewing PRs, creating bottlenecks that slowed QA delivery and reduced overall productivity.

Inconsistent Review Quality: Varying skill levels led to overlooked best practices and inconsistent naming conventions.

Security Risks in FinTech: Given the security-sensitive nature of FinTech applications, ensuring strong security, compliance, and vulnerability detection before deployment was critical.

Engineering Bandwidth Constraints: Senior developers spend too much time reviewing code instead of focusing on high-impact development and architectural improvements.

Missed Bugs & Hidden Errors: Manual reviews often miss subtle bugs, ambiguous code, and performance inefficiencies, leading to potential unexpected behavior.

Sprint Execution Inefficiencies: Teams spend excessive time in the push-review-fix-release loop, limiting their ability to focus on strategic, high-impact engineering challenges.

Key CodeRabbit Features That Transformed Development Workflow:

1. Always-ON AI Code Reviews:

• CodeRabbit functions like a 24/7 senior engineer, ensuring prompt and consistent code reviews without relying on peer availability.

2. Automated PR Summaries and Suggestions:

• Clear and concise summaries for every PR, making it easier for reviewers to understand changes at a glance.

• Intelligent refactoring suggestions ensure optimized, maintainable code.

• Detects edge cases and recommends error-handling improvements, identifying potential issues early.

3. Security:

• Automatically flags security risks and helps meet security compliance requirements.

4. Bug Detection:

• AI-driven bug identification highlights potential issues in the code before they go live.

• Automated error-handling reviews improved overall application stability.

5. Context-Aware Code Reviews with Linear Integration:

• Seamless integration with Linear allows CodeRabbit to fetch relevant ticket details, providing context-aware PR reviews.

• Leverages ticket descriptions to ensure code changes align with business requirements and intended functionality.

6. Junior Engineer Onboarding:

• AI highlighted naming conventions and coding standards and reinforced best practices.

• Reduced senior engineers' having to correct common beginner mistakes.

7. Increased Sprint Productivity:

• Time saved in code reviews was used to take on strategically important tasks.

• More efficient sprint execution due to less time in review cycles.

8. Built-In AI Chatbot for Interactive PR Discussions:

• CodeRabbit’s intelligent chatbot allows engineers to interact with PR comments in real time, making it easier to clarify suggestions, request refinements, and resolve issues efficiently.

• It simplifies code review discussions by providing quick explanations and justifications for AI-generated review comments.

“CodeRabbit has completely transformed our code review process, making it faster, more consistent, and less manual. It has saved us more than 50% of the time we used to spend on manual reviews, allowing our engineers to focus on building great products” - Shanimol. E.M, Engineering Manager, KeyValue Software Systems

Conclusion

CodeRabbit has improved the way KeyValue teams work. By automating code reviews, CodeRabbit enabled engineers to deliver high-quality products faster while maintaining security and best practices. With CodeRabbit rolling out to more teams within the company, KeyValue is using AI to set a new standard for development efficiency.

Get Started with CodeRabbit If your team wants to supercharge its development workflow, CodeRabbit makes AI-powered code reviews seamless and efficient. You can try CodeRabbit in under 5 minutes; no credit card is required. Get started today.