Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
A global technology and industrial enterprise manages large-scale system development projects while migrating legacy environments from COBOL to modern languages like Java and Python.
While internal tools could generate basic skeleton code, developers still had to manually write complex business logic from scratch using detailed...
“Of the many generative AI use cases that we gather and share, streamlining system development is a major theme.”
Multinational technology and industrial solutions for social infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Hitachi's Code generation is part of this use case:
Related implementations across industries and use cases
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
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.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
A global technology and industrial enterprise manages large-scale system development projects while migrating legacy environments from COBOL to modern languages like Java and Python.
While internal tools could generate basic skeleton code, developers still had to manually write complex business logic from scratch using detailed...
“Of the many generative AI use cases that we gather and share, streamlining system development is a major theme.”
Multinational technology and industrial solutions for social infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Hitachi's Code generation is part of this use case:
Related implementations across industries and use cases
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
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.