Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
A technology services provider and SAP partner with approximately 100 ABAP developers working across a growing portfolio of customer consulting engagements.
Development practices varied widely across the team, with no standardized approach to code quality, syntax conventions, or inline commenting. Code...
Digital transformation and business process services for the supply chain industry.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Mindsprint's Code generation 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.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
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.
Full ABAP reviews took 2–3 hours—leads could only check deltas. Now every program gets an end-to-end review, in minutes.
A technology services provider and SAP partner with approximately 100 ABAP developers working across a growing portfolio of customer consulting engagements.
Development practices varied widely across the team, with no standardized approach to code quality, syntax conventions, or inline commenting. Code...
Digital transformation and business process services for the supply chain industry.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Mindsprint's Code generation 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.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
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.