How Travelxp Cut Code Review Time by 70% with CodeAnt AI
Reduced review time
Release cycles
Consistency
Problem
Manual, inconsistent reviews slowed releases, consumed senior developer time, and missed security edge cases as Travelxp’s codebase expanded.
Solution
CodeAnt AI automated repetitive checks, cut review times by 70%, reduced false positives, and enforced consistent coding standards across teams.
Founded
2008
Headquarter
Mumbai, India
Industry
Travel and Media
Code Hosting
Github
About Travelxp
Travelxp is a global travel tech and infotainment brand, revolutionizing the way people discover and book travel. With a unique content-to-commerce engine across OTT, broadcast, and digital platforms, Travelxp seamlessly connects inspiration with action. They combines the creativity of a travel brand with the precision of a tech company — building lean, scaling smart, and aiming for long-term impact. Available in 100+ countries and 25+ languages, it brings the world to your screen.
How CodeAnt AI Transformed Travelxp
The Challenge Before AI
As Travelxp scaled its engineering org across CMS, mobile, and booking platforms, reviews became a bottleneck.
Slow reviews, small PRs took 30–60 minutes.
Hierarchical process, juniors raised PRs, seniors reviewed, slowing throughput.
Inconsistent standards, outcomes varied across teams.
Security blind spots, edge cases slipped through manual checks.
Unfit tools, alternatives were too noisy or rigid for a lean workflow.
The AI Breakthrough
CodeAnt AI integrated seamlessly into Travelxp’s GitHub workflows, instantly transforming reviews.
Faster, smarter reviews
PR review time slashed by 70% (30–60 mins → 10–15 mins).
AI-generated summaries highlighted key risks, freeing reviewers to focus on design.
Automated repetitive checks kept code clean without manual effort.
Smarter security
False positives dropped significantly.
AI caught vulnerabilities and poor patterns earlier.
Adaptive learning improved results with every review.
Consistent quality
Custom rules enforced logging practices, naming conventions, and secure patterns.
Natural language rule creation made setup simple.
Code consistency ensured across CMS, mobile, and booking tools.
Measurable Outcomes
70% reduction in review time
Faster merges and shorter release cycles
Smarter security with fewer false positives
Higher consistency across teams and platforms
Improved developer experience and onboarding
One Platform for Complete Code Health
By adopting CodeAnt AI, Travelxp evolved from manual, inconsistent reviews to a fast, intelligent, and scalable system that improves continuously.
