Let's connect ↗Apply Claude-assisted analysis and development to an enterprise modernization workflow with explicit scope, testing and engineering review.
AI coding tools can help teams explore unfamiliar code and prepare changes. Enterprise modernization still depends on hidden dependencies, business rules, test coverage and the constraints of the target environment.
Pragma Edge combines AI-assisted code understanding with specialist engineering and integration knowledge. We use bounded change increments, approved repository access and regression evidence to connect modernization work to a credible release path.
Progress should be visible in accepted changes and maintainable software. Compare the effort to understand, review, test and release each increment so productivity does not come at the expense of production confidence.
A modernization proposal must survive contact with real dependencies and business behavior. Use AI assistance to make the work more understandable while preserving engineering responsibility for the resulting system.
A modernization proposal must survive contact with real dependencies and business behavior. Use AI assistance to make the work more understandable while preserving engineering responsibility for the resulting system.
Build context from source, dependencies, interfaces and the intended modernization outcome.
Break the work into bounded changes that engineers can inspect and validate.
Connect generated changes to tests, review and the evidence required for release.
Use Claude-assisted code understanding to map dependencies and propose scoped changes. Combine specialist review with regression, security and deployment checks before accepting a modernization increment.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
A modernization proposal must survive contact with real dependencies and business behavior. Use AI assistance to make the work more understandable while preserving engineering responsibility for the resulting system.
Identify application boundaries and the behavior that must be preserved.
Build context from source, dependencies, interfaces and the intended modernization outcome.
A bounded use case with its owner, inputs and acceptance criteria.
Select a migration or refactoring slice with a clear test boundary.
Break the work into bounded changes that engineers can inspect and validate.
A working path with the required context, handoffs and review points.
Assess the diff, test results and remaining risks before release.
Connect generated changes to tests, review and the evidence required for release.
A reviewed operating outcome and an explicit improvement backlog.
Connect applications, APIs, events, files and partners. Operate them as one estate.
Read more ↗EXPLOREBring control and execution together. Build AI-enabled workflows that connect to enterprise systems and operate within clear business responsibilities.
Read more ↗Bring your business goal. Let’s shape a practical next step.