The Stash

Migration playbook

GitHub Copilot to JetBrains AI Assistant migration plan

Move from GitHub Copilot to JetBrains AI Assistant in phases: plan, pilot, controlled rollout, and optimization. Keep rollback paths and KPI checkpoints in each phase.

Effort: mediumTimeline: 3 to 6 weeksLast reviewed: 2/13/2026

Start here

  • Expected rollout window: 3 to 6 weeks.
  • Begin with prerequisites and pilot, then use the checklist for rollout sequencing.
  • Validate results against your KPI baseline before full cutover.
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Why teams switch

  • JetBrains IDE standardization: JetBrains AI Assistant is integrated directly into JetBrains tooling.

When staying is reasonable

  • GitHub-centered collaboration: Copilot fits naturally into GitHub-based review and governance processes.

Preconditions before migration

  • Define success KPIs for moving from GitHub Copilot to JetBrains AI Assistant.
  • Assign one migration owner and one rollback owner.
  • Back up critical data and export baseline workflow artifacts.

Phased rollout plan

Phase 1: Audit and plan

Week 1

Document current GitHub Copilot workflows and migration constraints.

Tasks

  • Inventory current automations, integrations, and permission models.
  • Identify top 3 workflows that must be reproduced in JetBrains AI Assistant.
  • Define measurable before/after baselines for cycle time and output quality.

Exit criteria

  • Scope approved by stakeholders.
  • Rollback plan and owner confirmed.

Phase 2: Pilot

Weeks 2 to 3

Validate JetBrains AI Assistant on one team or one workflow.

Tasks

  • Migrate one non-critical workflow from GitHub Copilot to JetBrains AI Assistant.
  • Track throughput, defects, and collaboration friction.
  • Collect team feedback and adjust process docs.

Exit criteria

  • Pilot workflow meets or exceeds baseline KPIs.
  • No unresolved blocker for full migration.

Phase 3: Controlled rollout

Weeks 4 to 6

Expand migration in controlled waves with guardrails.

Tasks

  • Migrate remaining workflows in batches, highest impact first.
  • Monitor adoption metrics and support issues after each batch.
  • Pause rollout if quality, velocity, or reliability regresses.

Exit criteria

  • 90%+ targeted workflows migrated without critical regressions.
  • Support load remains within agreed threshold.

Phase 4: Optimization

Weeks 7+

Optimize JetBrains AI Assistant usage and retire legacy paths.

Tasks

  • Finalize templates, permissions, and onboarding docs.
  • Decommission unused GitHub Copilot paths to reduce duplicate maintenance.
  • Review ROI assumptions against real post-migration metrics.

Exit criteria

  • Legacy tool usage reduced to planned floor.
  • Post-migration ROI review completed with next actions.

Execution checklist

  1. Define which workflows currently depend on GitHub Copilot or JetBrains AI Assistant.
  2. Run both tools on one real sprint and score quality, speed, and review overhead.
  3. Choose one default team standard and document exceptions clearly.

Risk controls

  • Run dual systems for one sprint on critical workflows.
  • Document rollback triggers before each migration phase.
  • Track user adoption and issue volume weekly.
  • Delay full cutover until pilot KPIs are stable for 2 cycles.

Reference and next steps

Open decision links, FAQ, sources, and related migration plans.

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Related decision links

FAQ

How long does it take to migrate from GitHub Copilot to JetBrains AI Assistant?

Typical timeline is 3 to 6 weeks for a phased rollout, depending on integrations and governance requirements.

What is the safest way to migrate from GitHub Copilot to JetBrains AI Assistant?

Use a pilot-first approach, dual-run critical workflows, and define rollback criteria before each rollout phase.

Sources

Related migration plans