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    Code Migration Planner

    by Arnstein Larsen

    1

    Architect safe, staged code migrations with zero-downtime patterns and automated rollback gates.

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    See it in action

    You say

    We need to migrate our Express.js monolith to a Go microservice architecture. It's a high-traffic API. How do we start without downtime?

    Your agent does

    Phase 1: Proxy Verification.

    • Risk: Network overhead and latency spikes.
    • Action: Deploy a Go reverse proxy (Strangler Fig) in front of Express.
    • Gate: If latency > 50ms at p99, rollback to direct ELB routing.
    • Step 2: Implement a 'dual-write' bridge for the Auth service...

    What you get

    Design zero-downtime database schema migrations using dual-write patternsPlan incremental transitions from legacy frameworks to modern stacksApply the Strangler Fig pattern to decommission monoliths safelyEstablish rollback gates and verification criteria for major version upgrades

    About this skill

    What it does

    The Code Migration Planner is a specialized architect-level skill designed to de-risk complex codebase transitions. It moves beyond simple refactoring by generating staged, incremental migration plans that eliminate "big-bang" deployments. Whether you are moving from Python 2 to 3, transitioning a monolith to microservices, or porting a legacy JS app to TypeScript, this skill structures the move using industry-standard patterns like the Strangler Fig and Dual-Writing.

    Why use this skill

    Typical AI prompts often suggest "replacing X with Y," which leads to long-lived feature branches and integration nightmares. This skill enforces a "shippable main" philosophy. It identifies the riskiest assumptions first and mandates rollback gates for every phase. By using this skill, you ensure that your migration is reversible, verifiable, and continuously integrated into your production environment.

    Key Features

    • Risk-First Sequencing: Prioritizes the most volatile components to prove feasibility early.
    • Strangler Fig Design: Defines clear boundaries to migrate functionality bit-by-bit.
    • Verification Phases: Implements dual-write and comparison logic to ensure data integrity.
    • Feature Flag Routing: Uses flags to manage traffic between old and new implementations.
    • Operational Safety: Defines explicit rollback criteria and "shippable main" constraints for every PR.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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