Legacy modernization with private AI agents

Private AI-assisted legacy modernization should begin with a narrowly defined migration whose existing behavior, dependencies, acceptance criteria, and responsible maintainers are clearly identified. Factory Private is presented as a customer-controlled environment for running AI agents, builds, model services, telemetry, and tools within approved infrastructure and data boundaries, with reproducible baselines and required dependencies prepared before changes begin. For larger brownfield efforts, Factory Missions can structure work into reviewed plans and milestones that produce inspectable evidence, while simpler replacements may remain standard tasks. Teams are advised to provide agents only the necessary source, documentation, and examples; restrict filesystem and network access; and maintain approval controls for consequential actions. Compatibility should be tested using representative inputs, regression tests, target-like staging environments, manageable code reviews, and documented rollback plans rather than relying solely on successful builds. Progress should be measured through accepted changes, completed validation checks, failures, reviewer corrections, and reliable cost data, with successful pilot practices retained and expanded only after the process is demonstrably repeatable.

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