More output meant more headcount. AI coding agents shifted 700 engineers toward harder problems and cut new-hire ramp-up in half.
A Korean fashion-tech platform with an engineering organization spanning several hundred developers and content operations across more than 10 business departments.
Scaling developer capacity without proportional headcount growth was a structural constraint. New engineers required 6 months to reach full...
Sources found with NewsCatcher's Web Search API
Korea’s no.1 fashion store. Shop the latest trends from Seoul.
Musinsa's Developer productivity is part of this use case:
Related implementations across industries and use cases
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Compliance kept AI in pockets; security reviews backed up three weeks. After a weekend rollout, two-week sprints became three-hour sessions.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
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.
More output meant more headcount. AI coding agents shifted 700 engineers toward harder problems and cut new-hire ramp-up in half.
A Korean fashion-tech platform with an engineering organization spanning several hundred developers and content operations across more than 10 business departments.
Scaling developer capacity without proportional headcount growth was a structural constraint. New engineers required 6 months to reach full...
Sources found with NewsCatcher's Web Search API
Korea’s no.1 fashion store. Shop the latest trends from Seoul.
Musinsa's Developer productivity is part of this use case:
Related implementations across industries and use cases
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Compliance kept AI in pockets; security reviews backed up three weeks. After a weekend rollout, two-week sprints became three-hour sessions.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
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.