How Bajaj Finserv Health Replaced SonarQube and Cut Reviews from Hours to Seconds
Pull requests reviewed
Devs save hours each sprint
Predictable costs
Problem
300 developers spent hours on each pull request, while SonarQube created noise and unpredictable costs, and compliance reporting was manual and slow.
Solution
CodeAnt AI reviews PRs in seconds, enforces gates automatically, exports audits in one click, and runs at flat per-developer pricing, all inside Azure DevOps.
Founded
2019
Stage
IPO (Public Company)
Industry
Fintech
Seats Bought
300+ Developers
About Bajaj Finserv Health
Bajaj Finserv Health is a leading digital healthcare platform serving millions of users. With a growing product suite and complex integrations, their 300-developer engineering organization needed to deliver features faster while maintaining strict quality, security, and compliance standards — all inside a regulated industry environment.
How CodeAnt AI Transformed Bajaj Finserv Health
Today, Bajaj Finserv Health runs on a single platform for AI code reviews, quality, and security, inside Azure DevOps.
The Challenge Before AI
As Bajaj Finserv Health’s platform expanded:
Review volumes surged — each pull request required hours of manual review plus SonarQube scans.
False positives wasted time — developers chased non-issues instead of building.
No central enforcement of quality/security rules — merges could still pass despite violations.
Compliance reporting was slow — audit data had to be manually compiled from multiple tools.
Pricing was unpredictable — SonarQube’s lines-of-code model made it impossible to forecast yearly spend, especially as the codebase grew in the age of AI.
Company-specific review rules couldn’t be automated — lessons learned in one PR weren’t applied to the next.
What changed with CodeAnt AI (inside Azure DevOps)
PR-native experience: Engineers open a PR and immediately see AI-powered review notes, summaries, and suggested fixes — all inside Azure DevOps. No new platform to learn, no context switching.
Smarter signals, fewer false alarms: Advanced code-quality scanning (anti-patterns, cyclomatic complexity, dead/duplicate code) dramatically reduced noise while catching issues earlier.
Built-in security: SAST, secret detection, and IaC misconfiguration checks run alongside quality rules on every PR.
Policy & compliance: Quality gates, Azure Board ticket linking, and exportable PDF/Excel audit reports make releases reviewable and auditable.
Leadership visibility: Dashboards track metrics, test coverage, and risk so managers can spot bottlenecks and prove improvements.
Migration highlights
Replaced SonarCloud & manual checks with one platform.
Brought historical modules under the same quality & security policy set.
Set organization-wide checks that run automatically on every PR.
Kept the entire workflow within Azure DevOps — pipelines, permissions, and boards unchanged.
One Platform for Complete Code Health
CodeAnt AI combines AI Code Reviews, Code Quality, and Code Security into a single Azure DevOps–native platform.
It enforces quality and security consistently, eliminates review bottlenecks, provides instant audit compliance, learns your company’s coding standards, and gives leadership clear, predictable cost visibility.
