Booking.com Boosts Software Innovation with AI: 30% Increase in Code Throughput

June 13, 2025
Booking.com Boosts Software Innovation with AI: 30% Increase in Code Throughput
  • Teams that fully adopted AI tools experienced a remarkable 30% increase in throughput compared to those with lower adoption rates, underscoring the effectiveness of these initiatives.

  • Booking.com, a leader in the online travel industry with over 500 million monthly visitors, is focusing on accelerating software delivery and innovation through AI tools.

  • The company aims to enhance its software development lifecycle with AI to maintain competitiveness in the evolving travel market.

  • In partnership with DX, a developer intelligence platform, Booking.com quantified the impact of AI code assistants, revealing that daily AI users achieved 16% higher code throughput and improved developer satisfaction.

  • Despite these positive outcomes, many developers remain hesitant to adopt AI tools, highlighting the need for further education and enablement to boost confidence and usage.

  • Initial adoption of AI faced challenges, including unrealistic executive expectations and developer skepticism, necessitating a deeper understanding of Generative AI's actual benefits.

  • Continuous communication about new AI features and capabilities has been established to keep developers informed and engaged in the adoption process.

  • Booking.com has also targeted adoption strategies by segmenting developer data to identify those gaining less value from AI tools and actively reaching out to assist them.

  • Amos Haviv from Booking.com's Developer Experience team emphasizes the potential of Generative AI to enhance productivity by pairing developers with virtual senior engineers.

  • To address these challenges, Booking.com has implemented regular office hours for hands-on support and training, contributing to nearly 100% adoption of Generative AI among developers.

  • The company has organized two-day events focusing on Generative AI education and practical applications, using real business problems to enhance learning experiences.

  • Bruno Passos has emphasized the importance of measurable data to assess AI's impact on engineering velocity, satisfaction, and code quality to justify investments in AI.

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