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AnnouncementInitial release: self-hosted on Ubuntu 24.04 and 26.04 LTS. More platforms planned; Cloud and managed services are outside this release.First release: self-hosted on Ubuntu LTS.Release status
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Modernization workflow

Modernize legacy code in bounded slices

Characterize current behavior first, then move one seam at a time with compatibility checks and review.

Availability and deployment fit are confirmed before commitment.

What does this modernization workflow workflow cover?

Characterize current behavior first, then move one seam at a time with compatibility checks and review.

What should an evaluator inspect?

Inspect the stated requirements, workspace boundary, validation evidence, approval points, and stated deployment scope rather than inferring results from an example workflow.

Is this customer proof?

No. Workflow pages describe an evaluation model and may use fictional product artifacts. They do not assert customer adoption, outcome, or availability evidence.

Can we run this workflow today?

A released self-managed artifact and tested quickstart are not published. Review the self-hosted requirements or register interest in future Cloud or Enterprise offerings.

What is the next step?

Use the ungated sample run and pilot scorecard to frame the evaluation, then choose a request path only if the operating model fits.

Starting condition and desired outcome

A legacy component has weak tests and hidden consumers, making a large rewrite difficult to verify. The outcome is one reversible modernization slice with recorded behavior and compatibility evidence.

The current manual workflow

1Infer behavior from implementation and production reports
2Attempt a broad rewrite in one branch
3Discover hidden consumers during review
4Mix cleanup, behavior change, and migration

The BranchRunner workflow

  1. 01
    Characterize behavior

    Capture inputs, outputs, consumers, and baseline checks before editing.

  2. 02
    Choose one seam

    Define a bounded replacement and explicit non-goals.

  3. 03
    Implement compatibly

    Change the isolated seam and preserve an adapter when required.

  4. 04
    Compare and approve

    Run old-versus-new checks and review the remaining migration boundary.

Evidence produced

The run keeps claims separate from checks and decisions. The evidence below describes the record, not a guaranteed outcome.

RecordedBehavior characterization and consumer inventory
RecordedBounded modernization diff
RecordedCompatibility and regression results
RecordedRemaining seams and human decisions

Product example. Repository, checks, and identities are illustrative; configure them for your system.

Where a person stays in control

Boundary selection

A person approves which behavior may change.

Baseline acceptance

Known inconsistencies are recorded before work begins.

Compatibility exception

Any intentional difference requires a decision.

Removal timing

Legacy code is removed only after its consumers are evidenced.

What the workflow can produce

·Behavior characterization and consumer inventory
·Bounded modernization diff
·Compatibility and regression results
·Remaining seams and human decisions
Results depend on the task definition, repository, tools, model providers, and checks selected by your team.

Integrations, deployment, and edition fit

Integrations
Git host, test harness, runtime telemetry, issue tracker
Deployment
Self-hosted or managed, subject to required network and data boundaries
Edition
Any edition; choose deployment according to data and environment needs
Human authority
Scope, sensitive actions, and delivery remain explicit decisions

Validate the workflow against one real repository

Bring the starting condition, required checks, and approval boundaries. We will identify what can be configured today and what remains deployment work.

Contact the teamAll use cases