Deprecate Legacy Systems and Migrate Users Safely
A deprecation and migration skill - decide, build a replacement, migrate incrementally, and safely remove old code.
Why it matters
Plan and execute the removal of outdated code, APIs, and systems while safely migrating all consumers to modern replacements with minimal disruption.
Outcomes
What it gets done
Assess maintenance costs and migration scope to decide whether to deprecate or maintain legacy systems
Create migration guides, tooling, and documentation for moving users from old to new implementations
Execute incremental migration strategies using strangler, adapter, or feature flag patterns
Identify and eliminate zombie code that has no owner but accumulates security debt and complexity
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-deprecation-and-migration | bash Overview
Deprecation and Migration
This skill covers deciding whether to deprecate a system, choosing advisory or compulsory deprecation, migrating consumers incrementally via strangler, adapter, or feature-flag patterns, and safely removing the old system. Use it when replacing an old system, sunsetting a feature, consolidating duplicates, removing dead code, or planning a new system's deprecation lifecycle from the start.
What it does
This skill treats code as a liability rather than an asset, since every line has ongoing maintenance cost from bugs, dependencies, security patches, and onboarding overhead, and provides a discipline for deprecating code that no longer earns its keep and migrating users safely from old to new. Its core principles hold that code's value lies in the functionality it provides, not the code itself; that Hyrum's Law makes removal hard, since with enough users every observable behavior, including bugs and undocumented side effects, becomes depended on, which is why deprecation requires active migration rather than just an announcement; and that deprecation planning should start at design time by asking how a system would be removed in three years, so it's built with clean interfaces, feature flags, and minimal surface area from the start. Before deprecating anything, five questions must be answered: does the system still provide unique value, in which case it should be maintained; how many consumers depend on it, quantifying the migration scope; does a replacement exist, since a system should never be deprecated without one; what's the per-consumer migration cost, automating it if trivial and weighing it against maintenance cost if manual; and what's the ongoing cost of not deprecating it, covering security risk, engineer time, and complexity. Deprecation is either advisory, meaning optional migration on the user's own timeline via warnings and documentation and the default choice, or compulsory, meaning a hard removal deadline used only when maintenance cost or risk justifies forcing migration, and always accompanied by migration tooling, documentation, and support rather than a bare announcement.
The migration process runs four steps: build the working replacement first, covering all critical use cases, documented, and production-proven rather than just theoretically better; announce and document through a deprecation notice covering status, replacement, removal date if any, and reason, plus a concrete migration guide; migrate consumers incrementally one at a time, identifying touchpoints, updating to the replacement, verifying behavior matches, removing old references, and confirming no regressions, governed by a rule that whoever owns the deprecated infrastructure is responsible for migrating its users or shipping backward-compatible updates requiring no migration, not leaving users to figure it out; and only remove the old system after verifying zero active usage through metrics, logs, or dependency analysis, then deleting the code, tests, documentation, configuration, and deprecation notices together. Three migration patterns are documented: the strangler pattern, running old and new systems in parallel while incrementally routing traffic from the old to the new before removing the old system; the adapter pattern, a class implementing the old interface that delegates to the new implementation so consumers keep their existing calls during a backend migration; and feature-flag migration, switching individual consumers between old and new service implementations per flag. It defines zombie code as unowned but depended-upon code with no recent commits, no assigned maintainer, unfixed failing tests, or vulnerable unmaintained dependencies, which must either get an assigned owner and real maintenance or a concrete deprecation plan, since it cannot stay in limbo. A rationalizations table rebuts common excuses for not removing code, such as it still works, someone might need it later, migration is too expensive, or users will migrate on their own.
When to use - and when NOT to
Use it when replacing an old system, API, or library, sunsetting an unneeded feature, consolidating duplicate implementations, removing unowned dead code, planning a new system's lifecycle from the start, or deciding whether to maintain a legacy system versus invest in migrating off it.
Inputs and outputs
Given a system to deprecate, it produces a deprecation decision, an advisory or compulsory plan, a deprecation notice with a migration guide, an incremental migration process per consumer, and a verified, fully removed old system.
Integrations
No specific tooling is mandated; it pairs with feature-flag systems for gradual cutover and standard metrics and logging for verifying zero active usage before removal.
Who it's for
Engineering teams and AI-agent workflows managing the lifecycle of systems, APIs, or libraries who need a disciplined process for safely removing code rather than letting deprecated or zombie systems accumulate indefinitely.
Source README
Deprecation and Migration
Overview
Code is a liability, not an asset. Every line of code has ongoing maintenance cost - bugs to fix, dependencies to update, security patches to apply, and new engineers to onboard. Deprecation is the discipline of removing code that no longer earns its keep, and migration is the process of moving users safely from the old to the new.
Most engineering organizations are good at building things. Few are good at removing them. This skill addresses that gap.
When to Use
- Replacing an old system, API, or library with a new one
- Sunsetting a feature that's no longer needed
- Consolidating duplicate implementations
- Removing dead code that nobody owns but everybody depends on
- Planning the lifecycle of a new system (deprecation planning starts at design time)
- Deciding whether to maintain a legacy system or invest in migration
Core Principles
Code Is a Liability
Every line of code has ongoing cost: it needs tests, documentation, security patches, dependency updates, and mental overhead for anyone working nearby. The value of code is the functionality it provides, not the code itself. When the same functionality can be provided with less code, less complexity, or better abstractions - the old code should go.
Hyrum's Law Makes Removal Hard
With enough users, every observable behavior becomes depended on - including bugs, timing quirks, and undocumented side effects. This is why deprecation requires active migration, not just announcement. Users can't "just switch" when they depend on behaviors the replacement doesn't replicate.
Deprecation Planning Starts at Design Time
When building something new, ask: "How would we remove this in 3 years?" Systems designed with clean interfaces, feature flags, and minimal surface area are easier to deprecate than systems that leak implementation details everywhere.
The Deprecation Decision
Before deprecating anything, answer these questions:
1. Does this system still provide unique value?
→ If yes, maintain it. If no, proceed.
2. How many users/consumers depend on it?
→ Quantify the migration scope.
3. Does a replacement exist?
→ If no, build the replacement first. Don't deprecate without an alternative.
4. What's the migration cost for each consumer?
→ If trivially automated, do it. If manual and high-effort, weigh against maintenance cost.
5. What's the ongoing maintenance cost of NOT deprecating?
→ Security risk, engineer time, opportunity cost of complexity.
Compulsory vs Advisory Deprecation
| Type | When to Use | Mechanism |
|---|---|---|
| Advisory | Migration is optional, old system is stable | Warnings, documentation, nudges. Users migrate on their own timeline. |
| Compulsory | Old system has security issues, blocks progress, or maintenance cost is unsustainable | Hard deadline. Old system will be removed by date X. Provide migration tooling. |
Default to advisory. Use compulsory only when the maintenance cost or risk justifies forcing migration. Compulsory deprecation requires providing migration tooling, documentation, and support - you can't just announce a deadline.
The Migration Process
Step 1: Build the Replacement
Don't deprecate without a working alternative. The replacement must:
- Cover all critical use cases of the old system
- Have documentation and migration guides
- Be proven in production (not just "theoretically better")
Step 2: Announce and Document
### Deprecation Notice: OldService
**Status:** Deprecated as of 2025-03-01
**Replacement:** NewService (see migration guide below)
**Removal date:** Advisory — no hard deadline yet
**Reason:** OldService requires manual scaling and lacks observability.
NewService handles both automatically.
### Migration Guide
1. Replace `import { client } from 'old-service'` with `import { client } from 'new-service'`
2. Update configuration (see examples below)
3. Run the migration verification script: `npx migrate-check`
Step 3: Migrate Incrementally
Migrate consumers one at a time, not all at once. For each consumer:
1. Identify all touchpoints with the deprecated system
2. Update to use the replacement
3. Verify behavior matches (tests, integration checks)
4. Remove references to the old system
5. Confirm no regressions
The Churn Rule: If you own the infrastructure being deprecated, you are responsible for migrating your users - or providing backward-compatible updates that require no migration. Don't announce deprecation and leave users to figure it out.
Step 4: Remove the Old System
Only after all consumers have migrated:
1. Verify zero active usage (metrics, logs, dependency analysis)
2. Remove the code
3. Remove associated tests, documentation, and configuration
4. Remove the deprecation notices
5. Celebrate — removing code is an achievement
Migration Patterns
Strangler Pattern
Run old and new systems in parallel. Route traffic incrementally from old to new. When the old system handles 0% of traffic, remove it.
Phase 1: New system handles 0%, old handles 100%
Phase 2: New system handles 10% (canary)
Phase 3: New system handles 50%
Phase 4: New system handles 100%, old system idle
Phase 5: Remove old system
Adapter Pattern
Create an adapter that translates calls from the old interface to the new implementation. Consumers keep using the old interface while you migrate the backend.
// Adapter: old interface, new implementation
class LegacyTaskService implements OldTaskAPI {
constructor(private newService: NewTaskService) {}
// Old method signature, delegates to new implementation
getTask(id: number): OldTask {
const task = this.newService.findById(String(id));
return this.toOldFormat(task);
}
}
Feature Flag Migration
Use feature flags to switch consumers from old to new system one at a time:
function getTaskService(userId: string): TaskService {
if (featureFlags.isEnabled('new-task-service', { userId })) {
return new NewTaskService();
}
return new LegacyTaskService();
}
Zombie Code
Zombie code is code that nobody owns but everybody depends on. It's not actively maintained, has no clear owner, and accumulates security vulnerabilities and compatibility issues. Signs:
- No commits in 6+ months but active consumers exist
- No assigned maintainer or team
- Failing tests that nobody fixes
- Dependencies with known vulnerabilities that nobody updates
- Documentation that references systems that no longer exist
Response: Either assign an owner and maintain it properly, or deprecate it with a concrete migration plan. Zombie code cannot stay in limbo - it either gets investment or removal.
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "It still works, why remove it?" | Working code that nobody maintains accumulates security debt and complexity. Maintenance cost grows silently. |
| "Someone might need it later" | If it's needed later, it can be rebuilt. Keeping unused code "just in case" costs more than rebuilding. |
| "The migration is too expensive" | Compare migration cost to ongoing maintenance cost over 2-3 years. Migration is usually cheaper long-term. |
| "We'll deprecate it after we finish the new system" | Deprecation planning starts at design time. By the time the new system is done, you'll have new priorities. Plan now. |
| "Users will migrate on their own" | They won't. Provide tooling, documentation, and incentives - or do the migration yourself (the Churn Rule). |
| "We can maintain both systems indefinitely" | Two systems doing the same thing is double the maintenance, testing, documentation, and onboarding cost. |
Red Flags
- Deprecated systems with no replacement available
- Deprecation announcements with no migration tooling or documentation
- "Soft" deprecation that's been advisory for years with no progress
- Zombie code with no owner and active consumers
- New features added to a deprecated system (invest in the replacement instead)
- Deprecation without measuring current usage
- Removing code without verifying zero active consumers
Verification
After completing a deprecation:
- Replacement is production-proven and covers all critical use cases
- Migration guide exists with concrete steps and examples
- All active consumers have been migrated (verified by metrics/logs)
- Old code, tests, documentation, and configuration are fully removed
- No references to the deprecated system remain in the codebase
- Deprecation notices are removed (they served their purpose)
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
FAQ
Common questions
Discussion
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