Hitachi streamlines development work and embraces generative AI with GitHub Copilot
Hitachi Ltd — As part of initiatives to promote AI use internally and boost system development productivity, Hitachi adopted GitHub Copilot. Integrating GitHub Copilot with existing development frameworks resulted in great knowledge gains, which Hitachi is sharing through a Generative AI Practitioner Community to cement and expand the use of generative AI. 83 percent of users are able to finish tasks quicker, with cases of 30-percent productivity gains. Integration with existing development frameworks has lifted the generation rate of business logic from 78 percent to 90 percent in some instances.
- Agent or tool
- GitHub Copilot
- Topic
- Software Development
- Reported on
- Case study (Microsoft)
- Added
- 2026-11-11
Why it matters
Coding agents are moving from autocomplete to doing whole tasks: reading a codebase, making a plan and changing many files. This case is a concrete example of where that works in practice. It is one of 221 sightings filed under Software Development on Agent Sightings (number 79 by interest), and one of 47 involving GitHub Copilot.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into GitHub Copilot or any similar agent and adjust the details to your situation.
I want a coding agent to plan first, work on a branch, and show me the diff before anything is merged. The tool in the source case was GitHub Copilot.
Tip: Work on a fresh branch, ask for a plan before edits, and review the diff and test results before merging.
Source
Read the original first-hand account on Case study (Microsoft): https://www.microsoft.com/en/customers/story/23738-hitachi-ltd-github-copilot. Our summary is a paraphrase; details are in the source.
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