Migration intelligence and execution control

Every migration decision, connected to evidence.

CutoverGrid turns repository state, technical dependencies, organizational ownership, and production safeguards into one continuously updated migration operating model.

Node.js Runtime Upgrade
Commit 8a4c9d2
Readiness78%+12 points this cycle
Estimated effort24–32engineer-days
Blockers84 require owners
ConfidenceMed–highEvidence coverage 91%
DiscoverPrepareValidateCutover

One operational view

From repository state to production decision.

CutoverGrid keeps discovery, impact, execution, and verification connected so every team works from the same migration truth.

01

Discover the current state

Inventory runtimes, frameworks, packages, build systems, CI workflows, containers, infrastructure definitions, tests, services, and owners across repositories.

02

Model technical impact

Trace direct and transitive relationships across applications, services, shared packages, databases, delivery systems, and operational boundaries.

03

Control the cutover

Connect migration waves to acceptance criteria, validation gates, approvals, observability thresholds, and verified rollback paths.

Readiness without a black box

Scores explain what is ready, what is blocked, and why.

Readiness is calculated across dependency compatibility, code changes, test coverage, infrastructure, operations, ownership, documentation, and rollback preparation. Every dimension links to its source evidence.

  • Repository-, commit-, file-, and line-level traceability
  • Confidence based on evidence coverage and unresolved unknowns
  • Clear remediation steps for every material finding
  • Readiness recalculation after relevant changes merge
78%Ready
Dependencies84
Code76
Tests68
Infrastructure88
Rollback72

Built for execution

A migration plan engineering teams can run.

01

Evidence-backed findings

Compatibility conflicts, deprecated APIs, native-module constraints, legacy runtime pins, missing tests, and infrastructure risks are tied to reproducible evidence.

02

Effort ranges and strategy comparison

Engineering-day ranges expose assumptions, exclusions, unknowns, and confidence. Teams compare phased, canary, dual-runtime, blue-green, and coordinated cutover strategies.

03

Owned migration waves

Work is sequenced by dependency, risk, and team ownership with acceptance criteria, prerequisites, validation steps, and rollback conditions.

04

Continuous verification

Repository changes update findings and readiness. Before cutover, the platform evaluates builds, tests, performance, error rates, monitoring, rollback availability, and approvals.

Responsible intelligence

AI assists. Evidence decides.

AI summarizes verified findings, groups related work, drafts tasks, and explains tradeoffs. Compatibility decisions, migration success, security acceptance, and production traffic changes remain grounded in deterministic checks and human approval.

AI assistsSummariesWork groupingTask draftingRollout communication
Evidence decidesCompatibilityValidation statusSecurity gatesCutover approval

Move with confidence

Turn migration uncertainty into an executable plan.

Start with repository evidence and finish with a verified production cutover.