Akasa Air Made Code Reviews 5× Faster
Problem
Manual reviews and late vulnerability detection slowed Akasa Air’s engineering teams across 60+ GitHub repositories, delaying releases and increasing risk.
Solution
CodeAnt AI automated PR reviews, flagged vulnerabilities early, and enforced coding standards, cutting review time from hours to minutes.
Founded
2021
Stage
Series B
Industry
Aviation
About Akasa Air
Akasa Air’s engineering division powers digital systems for flight operations, crew management, pricing, and customer experience, it’s all built on distributed GitHub repositories.
To maintain speed, quality, and safety while scaling, the team needed AI-driven reviews, automated security checks, and faster feedback loops, without disrupting workflows.
How CodeAnt AI Transformed Akasa Air
Akasa Air replaced manual reviews and fragmented scans with AI precision code reviews directly inside GitHub — improving speed, visibility, and security across repositories.
The Challenge Before AI
Reviews took hours per PR, creating bottlenecks.
Security vulnerabilities and secrets were detected late in QA.
Inconsistent review standards slowed release velocity.
Manual compliance tracking drained engineering bandwidth.
The AI Breakthrough
With CodeAnt AI integrated directly into GitHub, Akasa Air achieved 5× faster reviews and proactive security enforcement across its repositories:
300+ PRs auto-reviewed across repos.
1,000+ AI-generated comments enabled instant feedback.
600k+ lines of code analyzed in under 3 minutes per PR.
12 deployments/months with stable, faster release cycles.
Impact: Faster merges, stronger security, and better team efficiency — all inside GitHub.
One Platform for Complete Code Health
With CodeAnt AI, Akasa Air’s engineering workflows now run on auto-pilot code governance — AI Code Reviews, built-in security scanning, and real-time quality tracking.
The result:
Fewer zero-comment PRs.
Faster merges.
Safer releases.
Happier developers.
