A few specialists handled all API reviews; back-and-forth revisions pushed publication to a month. AI now reviews and corrects in minutes.
A railway operator with a network spanning 18 prefectures and roughly 1,200 stations, running a shared API platform since 2020 to distribute live train operation and delay data to third-party transportation apps and MaaS services.
Publishing an API required specialized knowledge of definition file formats and standards, concentrating work among a small number of senior...
“今回の取り組みにより、API定義作成およびレビュー工程の効率化と品質平準化の可能性を確認することができました。”
Also reported by
Passenger railway operator and regional infrastructure developer in western Japan.
Provided its 'High Security API Platform Service' enhanced with generative AI to streamline JR West's API development processes.
West Japan Railway Company's API code review is part of this use case:
Related implementations across industries and use cases
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
Three people, 700 drivers, no road data—just spreadsheets. When a DOT probe hit, they had nothing. Now AI coaches every driver individually.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
A few specialists handled all API reviews; back-and-forth revisions pushed publication to a month. AI now reviews and corrects in minutes.
A railway operator with a network spanning 18 prefectures and roughly 1,200 stations, running a shared API platform since 2020 to distribute live train operation and delay data to third-party transportation apps and MaaS services.
Publishing an API required specialized knowledge of definition file formats and standards, concentrating work among a small number of senior...
“今回の取り組みにより、API定義作成およびレビュー工程の効率化と品質平準化の可能性を確認することができました。”
Also reported by
Passenger railway operator and regional infrastructure developer in western Japan.
Provided its 'High Security API Platform Service' enhanced with generative AI to streamline JR West's API development processes.
West Japan Railway Company's API code review is part of this use case:
Related implementations across industries and use cases
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
Three people, 700 drivers, no road data—just spreadsheets. When a DOT probe hit, they had nothing. Now AI coaches every driver individually.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.