“Greptile catches a bunch of small issues that could have been very bad if they went to prod.”
CTO @ Gumloop
Rahul Behal
Q&A
After evaluating Cursor and various foundation models like Claude and GPT, Gumloop chose Greptile for its ability to enhance these models with deep context awareness of their codebase, providing more accurate and relevant code reviews.
Greptile has repeatedly proven its value by catching remnant code and logic that shouldn't have been carried over from templates, as well as small issues that could have been critical if they went to production.
The team frequently makes commits with the message "Address Greptile Comments" - it's become a daily part of their workflow. The auto-fix feature allows them to resolve issues with a single click.
As Rahul notes: "As a startup, we don't have the most robust test suite or coverage, so manual review and QA is important to us. Greptile catches a bunch of small issues that could have been very bad if they went to prod."
Maintaining code quality in rapid development cycles
How Gumloop leverages AI-powered code review as a critical safety net
With a small but mighty engineering team, Gumloop faced the classic startup challenge: shipping features quickly while maintaining code quality. Without a robust test suite, they needed a solution that could act as an additional safety net.
After evaluating Cursor and various foundation models like Claude and GPT, Gumloop chose Greptile for its ability to enhance these models with deep context awareness of their codebase. For a fast-moving team that frequently builds new platform nodes through iteration, Greptile has become an invaluable safety net.
The impact of Greptile on Gumloop's development process has been significant and measurable. “We often find ourselves making commits with the message 'Address Greptile Comments', it's a daily occurrence for us now,“ says Rahul. The auto-fix feature has been particularly impactful, allowing the team to resolve issues with a single click.
