Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
An IT services provider managing the development of new software systems and the modernization of legacy applications built on VB.NET.
Limited engineering resources made it difficult to balance speed and quality for new system builds traditionally requiring 4.0 man-months....
Sources found with NewsCatcher's Web Search API
IT services, system development, and DX consulting for financial institutions.
Built a development environment and provided implementation support for Devin for Chibagin CS.
Provided the Devin autonomous AI software engineer platform used for coding and migration tasks.
Chibagin Computer Service's Software development is part of this use case:
Related implementations across industries and use cases
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
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.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
An IT services provider managing the development of new software systems and the modernization of legacy applications built on VB.NET.
Limited engineering resources made it difficult to balance speed and quality for new system builds traditionally requiring 4.0 man-months....
Sources found with NewsCatcher's Web Search API
IT services, system development, and DX consulting for financial institutions.
Built a development environment and provided implementation support for Devin for Chibagin CS.
Provided the Devin autonomous AI software engineer platform used for coding and migration tasks.
Chibagin Computer Service's Software development is part of this use case:
Related implementations across industries and use cases
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
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.