Engineers manually built and tested software end-to-end. Now they orchestrate AI agents with one prompt, from planning to deployment.
A global AI-powered technology services and consulting company with over 240,000 employees and business partners across 65 countries, delivering digital transformation solutions for enterprise clients.
Software development lifecycles relied heavily on humans manually handling every stage, from requirements gathering to coding, testing, and...
“Our engineers love using it because it puts control right back in their hands. They don’t feel like they are being displaced by AI, but they feel that they are being empowered with AI.”
Global information technology, consulting, and business process services company.
AI software development agents for automating engineering workflows.
Wipro's Software development 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.
Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
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.
Engineers manually built and tested software end-to-end. Now they orchestrate AI agents with one prompt, from planning to deployment.
A global AI-powered technology services and consulting company with over 240,000 employees and business partners across 65 countries, delivering digital transformation solutions for enterprise clients.
Software development lifecycles relied heavily on humans manually handling every stage, from requirements gathering to coding, testing, and...
“Our engineers love using it because it puts control right back in their hands. They don’t feel like they are being displaced by AI, but they feel that they are being empowered with AI.”
Global information technology, consulting, and business process services company.
AI software development agents for automating engineering workflows.
Wipro's Software development 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.
Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
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.