How Travelxp Cut Code Review Time by 70% with CodeAnt AI
Problem
Manual, inconsistent reviews slowed releases and missed security edge cases as Travelxp’s codebase grew.
Solution
CodeAnt AI automated checks, cut review time by 70%, slashed false positives, and enforced consistent coding standards.
Product
Founded
2008
Headquarter
Mumbai, India
Code Hosting
GitHub
Tech Stack
Python, Java, JavaScript, and Node.js Docker
Industry
Travel and Media
About
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.
Challenge
As Travelxp expanded across CMS platforms, mobile apps, and integrated booking tools, maintaining speed and quality in code reviews became increasingly difficult.
Code reviews are slow — even small pull requests used to take 30–40 minutes of a developer’s time.
Aniket Mishra
Senior Product Manager
Their challenges included:
Manual, hierarchical reviews: Junior developers raised PRs, seniors reviewed — slowing down the process.
Inconsistent reviews: Different styles and standards led to unpredictable outcomes.
Long review cycles: Even small PRs took 30-60 minutes to review.
Manual security checks: Important security edge cases were sometimes missed.
Unfit tools: Alternative solutions were too noisy or rigid for Travelxpʼs lean, fast-moving workflow.
Travelxp needed a smarter, lightweight solution that could keep up with their growth without compromising quality or velocity.
Solutions
With CodeAnt AI, Travelxp transformed its code review process:
PR review times slashed from 30-60 minutes to just 10-15 minutes.
AI-generated summaries automatically highlighted key changes and risks, letting reviewers focus on business logic instead of syntax or formatting.
Automated repetitive checks ensured code hygiene without manual effort, enabling faster merges and fewer interruptions.
Travelxpʼs developers used to waste time chasing false positives.
With CodeAnt:
False positives dropped significantly, allowing the team to focus on genuine vulnerabilities.
Adaptive learning: CodeAntʼs system learned from developer feedback, becoming smarter with every review.
Developer trust increased, leading to reduced mental fatigue and sharper focus on critical issues.
Beyond default capabilities, Travelxp is now leveraging custom rule sets with CodeAnt to enforce internal standards:
Logging practices and naming conventions.
Secure coding patterns customized for specific codebases (e.g., CMS vs Mobile).
Natural language-based rule creation, enabling easy setup without scripting.
This ensures code consistency across all teams and platforms as they scale further.
Result
With CodeAnt AI, we now save over 70% of our code review time — our developers are more productive, focused, and able to ship quality code faster. CodeAnt acts like an insurance — it stops bad and insecure code at the source and even provides one-click fixes right inside our workflow.
Aniket Mishra
Senior Product Manager
✅ 70% reduction in code review time
✅ Faster merges and shorter release cycles
✅ Smarter security with adaptive learning
✅ Higher code consistency across teams
✅ Improved developer experience and onboarding
Final Words
By adopting CodeAnt AI, Travelxp evolved from a manual, inconsistent code review process to a fast, intelligent, and scalable system that grows smarter over time.
For any fast-moving tech team that wants to scale without compromising on quality, CodeAnt just makes sense. Itʼs like having a smart, reliable reviewer that never tires—and keeps getting better.
Aniket Mishra
Senior Product Manager
