How Bajaj Finserv Health replaced SonarQube, and cut review time from hours to seconds

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.

We replaced SonarQube, cut review time from hours to seconds, and now pay a flat per-developer price — all without leaving Azure DevOps.

Amol Wanjare

Principal Engineering Manager
Bajaj Finserv Health

Before → After at a glance

The Challenge

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.

Measurable outcomes (first 90 days)

8,000+ Pull Requets reviewed with under-a-minute turnaround for most PRs.
Hours → seconds per review; cumulative developer time reclaimed across 300 engineers each sprint.
Lower rework & incidents via earlier detection of anti-patterns and security issues.
Predictable spend via developer-based pricing (no LOC penalties for large/legacy codebases).

What it feels like on the ground

For developers: “Open a PR, get a complete review in under a minute. Suggested fixes, risk call-outs, and a clean pass/fail check — all right in Azure DevOps.”
For reviewers: “Focus on judgment calls; let the platform handle lint, complexity, duplicates, and policy checks.”
For leaders & compliance: “One place to see DORA, coverage, and audit-grade exports — faster approvals, cleaner releases.”

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.