Agentic AI & Developer Platforms case study
Autonomous multi-agent system for legacy codebase migration and unit test synthesis
An anonymised summary of the challenge, approach and outcome. Client names and measured figures are published only with written consent.
Anonymised client work
We do not publish client names or identifying details without written consent, and we do not publish numbers we cannot substantiate. The summary below describes the shape of the work without exposing the client.
Client
Agentic AI & Developer Platforms sector organisation, identity withheld pending consent
Challenge
Migrating large monolithic legacy applications to modern cloud-native frameworks was stalled by complex manual dependency analysis, syntax translation, and missing test suites.
Solution
Acmez designed a multi-agent orchestration framework featuring specialized agents for AST analysis, semantic transpilation, static security validation, and automated regression test generation with human review checkpoints.
Outcome
Engineering teams accelerated modernization cycles with verified code transformations, automated test coverage for legacy execution paths, and clear audit traces for every agent action.
Capability involved
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