Key takeaways
- Your developers keep the terminal and IDE they use today and point an open coding agent at a governed endpoint that runs inside your boundary.
- The agent searches your repositories, data dictionaries, interface specifications and design records, and cites what it used when it explains a module.
- Conversion runs in slices: explain the business rules, convert one module, generate tests that compare old and new outputs, then a developer reviews every change.
- H2O Cascade can fine-tune open code models on your own repositories, so the model learns your conventions without the code going to an outside service.
The code runs the mission, and few people can still read it
Your core systems still run on code written decades ago. The people who wrote it have retired or moved on, the documentation is thin, and every change carries risk because nobody is sure what else depends on it.
Your developers want AI help to read and convert this code, but your security team will not let source code, interface specifications or system designs go to an outside coding service, and in a classified or air-gapped enclave that service is not reachable at all. So the modernization backlog grows.