How Dezerv Made Code Reviews Faster and More Secure with CodeAnt AI

Founded:

2017

Funded:

Series B ($30 Million+)

Team:

100+ Engineers

Industry:

Fintech

Use Case:

AI Code Reviews • Code Quality • Code Security

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

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

Solution

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

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.