---
title: Dependency Upgrade
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/dependency-upgrade/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/dependency-upgrade/
last_updated: 2026-06-20
---

# Dependency Upgrade

> Manage major dependency version upgrades with compatibility analysis, staged rollout, and…

A disciplined approach to major dependency and framework upgrades: compatibility analysis, staged rollout, breaking-change handling, and comprehensive testing. It upgrades one dependency at a time to keep the blast radius small, reads changelogs for breaking changes, applies codemods for automated fixes, and keeps a rollback plan ready at every step.

## Use cases
- Upgrading a major framework version like a UI library or router
- Patching security-vulnerable dependencies flagged by an audit
- Resolving peer dependency conflicts and duplicate packages
- Planning an incremental upgrade path across multiple major versions
- Setting up automated update bots with safe automerge rules
- Running a tested rollback when an upgrade fails its test suite

## Benefits
- Avoid the chaos of all-at-once upgrades by isolating each change for easy debugging
- Catch breaking changes before they ship by reading changelogs and applying codemods
- Keep upgrades reversible with a baseline test run, lock files, and a scripted rollback
- Stay current and secure with automated update bots tuned for safe versus major changes

## What’s included
- A semantic-versioning and semver-range strategy (caret, tilde, exact) per dependency type
- Dependency audit and tree-analysis commands plus a compatibility matrix pattern
- A three-phase staged upgrade: planning, incremental updates, validation tests
- Breaking-change handling with changelog parsing, codemods, and custom migration scripts
- Automated update configurations for two popular update bots, plus a scripted rollback
- Unit, integration, visual-regression, and end-to-end testing strategies with a full checklist

## Who it’s for
Developers and tech leads managing major dependency or framework upgrades on a production codebase.

## How it runs
The skill never runs a blanket update. It executes a staged, one-package-at-a-time upgrade loop with a rollback path prepared before anything moves:
1. Audit first: npm outdated, npm audit and npx npm-check-updates list what is behind and what carries CVEs. npm ls and madge map who depends on what, so the blast radius of each bump is known up front.
2. Read the changelogs and migration guides for every MAJOR jump, then write an explicit upgrade order (for example: TypeScript, then React, then Router, then testing libraries, then build tools). Skipping major versions is banned, 16 to 17 to 18, never 16 to 18.
3. Baseline: full test suite on a feature branch with a git tag backup before the first install.
4. Upgrade ONE dependency, run the entire test suite plus build, check bundle size impact, resolve peer dependency warnings, then move to the next. A failure is isolated to exactly one step instead of twenty.
5. Where available, codemods automate the breaking-change mechanics (lifecycle renames, import rewrites); a compatibility test asserts paired versions match (react equals react-dom).
6. If tests fail and cannot be fixed, the rollback script restores from the lock file and deletes the branch. Minor and patch updates get automated afterwards via Renovate or Dependabot with automerge rules, majors stay manual.

## FAQ
### I have a long list of outdated packages. Does the one-at-a-time rule mean this drags on forever?
One dependency at a time is deliberate: it keeps the blast radius small so a break is easy to trace to a single change. It is slower than a bulk bump, but it trades a few extra passes for upgrades that do not leave you bisecting a tangle of failures.

### Codemods automate the easy changes. What happens to breaking changes a codemod can't cover?
Codemods handle the mechanical rewrites, and the guide reads changelogs to surface the rest so you address them by hand. The point is to separate what can be automated from what needs judgment, not to pretend every break is scriptable.

### Does this guarantee nothing breaks after an upgrade?
It cuts the risk through staged rollout, compatibility analysis, and testing, but it leans on the test coverage you already have. Where your tests are thin, a breaking change can still slip past, so the safety is real but not absolute.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [AI code review and developer workflow](https://forgehouse.ai/guides/ai-code-review/)