AI & BI use case · Generative AI

Code & Migration Assistants

Support developer teams with code reviews, documentation and legacy system migration.

What it's about

Legacy systems and grown codebases are often poorly documented, slowing maintenance and migration. An assistant explains code sections, suggests refactorings and helps translate to modern target architectures, with developers retaining control over every change.

  • Faster understanding of legacy code.
  • Accelerated migration projects.
  • Better and more current documentation.
Business case & ROI
−35 %

Time to understand code

10 Wo.

Time to value

40 %

Faster migration steps

60 %

More documented modules

Derived from developer hours for code understanding and documentation before and after rollout in the pilot team.

How we do it
  1. 01

    Codebase analysis

    Assess scope, language and quality of the legacy codebase.

  2. 02

    Tooling integration

    Integrate with repositories and CI/CD pipelines.

  3. 03

    Migration plan

    Define prioritized modules and target architecture.

  4. 04

    Assisted implementation

    Generate suggestions with developer review.

  5. 05

    Quality assurance & rollout

    Automated tests and staged go-live.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Code repositories

Source code and version history.

Technical documentation

Existing, often outdated descriptions.

CI/CD pipelines

Build and test processes as context.

Architecture diagrams

System relationships and interfaces.

Ticket history

Known bugs and technical debt.

Test coverage

Existing tests to safeguard changes.

Stakeholders
  • Development teams

    Faster ramp-up on unfamiliar code.

  • IT architecture

    Clearer overview of system dependencies.

  • Project management

    Better predictability of migration projects.

  • IT security

    Earlier detection of risky code sections.

Typical business value
01

Faster understanding of legacy code.

02

Accelerated migration projects.

03

Better and more current documentation.

04

Less dependency on individual knowledge holders.

05

Higher code quality through structured reviews.

The data platform advantage

With a solid data foundation this use case gets faster, cheaper and far more stable.

Central code repositories ease analysis.

Existing CI/CD pipelines enable safe test runs.

Unified architecture documentation speeds up migration planning.

Automated test coverage safeguards changes.

Build a data platform
Synergies & positive side effects

Document chat (RAG)

Technical documentation becomes jointly searchable.

Agentic workflows

Recurring migration steps can be automated.

Data platform

Migrated systems can be connected directly to the platform.