How Dezerv Made Code Reviews Faster and More Secure with CodeAnt AI
Problem
Manual reviews became a bottleneck; senior engineers spent too much time reviewing, slowing releases and delaying issue detection.
Solution
CodeAnt AI plugged into Dezerv’s pull-requests, instantly flagging bugs, vulnerabilities, code smells and standards breaches—without any extra setup or training.
Product
Founded
2017
Funded
Series B ($30 Million+)
Team
100+ Engineers
Plan Purchased
Enterprise Plan
Industry
Fintech
About
Dezerv is on a mission to simplify wealth creation. Built by experienced professionals, the platform combines deep financial expertise with powerful technology to help users invest intelligently. Behind this innovation is a fast-moving engineering team, always on the lookout for tools that improve speed, safety, and scale.
Challenge
As the team scaled, Dezerv’s engineering leaders realized that while their code review process was thorough, it was also becoming a bottleneck. At Dezerv, we’re constantly looking for innovative solutions that enhance our development processes and empower our engineering teams.
Before integrating CodeAnt, our code review process, while thorough, was often a bottleneck. It consumed significant developer time, particularly for senior engineers.
Eshaan Ramnani
Tech Lead at Dezerv
The team needed a solution that could:
Maintain their high engineering standards
Reduce review load on senior devs
Catch issues earlier
Help the team move faster without compromising quality
Solutions
Dezerv adopted CodeAnt AI to supercharge their pull request workflows.
CodeAnt has delivered on all fronts.
Eshaan Ramnani
Tech Lead at Dezerv
With seamless integration into their codebases, CodeAnt began providing instant, intelligent feedback on every pull request — no extra configuration or training needed.
The platform seamlessly integrates into our codebases, providing instant, intelligent feedback on every pull request.
Eshaan Ramnani
Tech Lead at Dezerv
From bug detection and security vulnerabilities to code smells and coding standards — CodeAnt’s AI proactively flagged issues early, reducing the burden on reviewers and enabling quicker turnarounds.
The Impact
The AI's ability to identify potential bugs, security vulnerabilities, code smells, and adherence to coding standards has been remarkable.
Eshaan Ramnani
Tech Lead at Dezerv
By integrating CodeAnt, Dezerv:
✅ Reviewed code faster, without waiting on overloaded senior engineers
✅ Caught issues earlier, lowering rework and long-term tech debt
✅ Maintained high standards, while moving at startup speed
This proactive approach means issues are caught much earlier in the development cycle, drastically reducing technical debt and costly rework down the line.
Eshaan Ramnani
Tech Lead at Dezerv
Key Takeaways
Code reviews became faster and less manual
Engineers now focus on creative, complex work — not repetitive checks
Quality and security are baked in from the start
