Verified code migration

Modernise and Migrate Code With Governed AI Engineering

How can AI code migration be governed?

A governed AI code migration decomposes the target change into reversible, dependency-aware slices and verifies each candidate against an exact baseline. Nexus coordinates discovery, parallel implementation where safe, regression evidence, independent review and canonical integration rather than treating migration as a single unbounded rewrite.

01

Migrations fail at boundaries

Automated code migration can make syntax changes quickly, but production risk usually sits at interfaces, data contracts, build tooling and partially migrated states. Nexus retains the architecture and lineage needed to sequence those boundaries.

A migration plan should name compatibility requirements and rollback conditions before agents alter the repository.

  • Interface inventory
  • Dependency and data lineage
  • Compatibility windows
  • Rollback and acceptance gates
02

Parallelise only independent slices

Mechanical transformations may run across fenced modules, while shared contracts require ordered changes. Nexus uses durable dependencies and ownership controls to distinguish those cases.

Every candidate remains attached to its exact SHA and evidence. A later branch update cannot inherit an earlier review automatically.

03

Verification is the migration output

A migration is not complete because old syntax disappeared. Build, regression, integration and domain-specific checks must show that supported behaviour remains intact.

Nexus preserves that evidence and routes failed gates back to remediation before governed integration.

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