Major Version Upgrades With an Agent: React, Next and Friends

Major version upgrades are often the most deferred tasks in a software project lifecycle. When a framework like React or Next.js releases a breaking change, the technical debt starts to accumulate the moment you choose not to update. Performing major version upgrades with an agent can significantly reduce the manual toil involved in refactoring deprecated APIs and adjusting to new project structures. Instead of manually traversing every file to change a lifecycle method or a routing pattern, you can leverage AI agents to handle the repetitive transformations.

The Strategy for Automated Migrations

A successful upgrade requires a systematic approach. You cannot simply point an agent at a repository and hope for the best. The process should be broken down into discrete phases to ensure stability and maintainability.

Version Alignment and Dependency Resolution

Before touching any application logic, you must align your package manifest. This involves more than just changing a number in package.json. You need to identify peer dependency conflicts that might arise from the new version.

1. Update the primary package version.
2. Run an install command to see which secondary libraries break.
3. Determine if those libraries have compatible versions or if they require alternatives.

Identifying Breaking Changes

Every major release comes with a migration guide. While agents have access to vast training data, they might not be aware of the very latest patches. Providing the agent with specific documentation or a changelog summary helps it understand exactly what needs to be replaced. For example, moving from React 17 to 18 involves changes in how the root is rendered, while moving to 19 introduces different handling for refs and transitions.

Setting Up Your Workspace for Upgrades

The environment in which you perform these upgrades matters. Traditional IDEs limit you to one or two files at a time. Using an infinite canvas allows you to lay out the migration guide, the terminal showing build errors, and several files side by side.

When you use Deska, you can run multiple coding agents simultaneously. You might have one agent focused on fixing TypeScript errors in your components while another works on updating your unit tests to match the new API behaviors. This parallel approach keeps the context separated and manageable.

Using Agents for Code Transformation

Coding agents like Claude Code or Codex CLI are particularly good at pattern recognition. In a major upgrade, you often face patterns like:

• Replacing componentWillReceiveProps with getDerivedStateFromProps or useEffect.
• Converting legacy string refs to useRef.
• Migrating from the Pages Router to the App Router in Next.js.
• Updating CSS modules to a newer specification.

By running these agents in terminals within your workspace, you can monitor their progress in real time. If an agent makes a mistake, you can use the code editor to make quick manual adjustments without losing focus.

Comparing Tools for Migration

Different tools offer different advantages when it comes to refactoring.

Standard codemods provided by framework authors are excellent for predictable changes. However, they often fail when your code follows a non-standard pattern. This is where agents shine because they can reason about the intent of your code rather than just its syntax.

A Recipe for React and Next.js Upgrades

If you are upgrading a complex Next.js application, follow this sequence to maximize the efficiency of your AI assistants.

• Initialize a clean branch for the migration.
• Open your workspace and arrange your main layout files.
• Use a browser panel to keep the official migration guide visible.
• Command the agent to update the entry points first. In Next.js, this means _app.js or the root layout.tsx.
• Run the build command frequently. Use the output from the terminal to feed the agent the specific error messages it needs to solve.

If you need to step away from your desk, you can use the mobile app to monitor the progress of long-running build tasks or agent processes through the secure relay. This allows you to stay informed without being tethered to your machine.

Privacy and Local Execution

One concern when using AI for upgrades is the security of your codebase. Many developers prefer a local-first approach where their files stay on their machine. When using agents within Deska, your code and sessions remain local. The agents interact with your files directly on your disk. For those who want more control over costs, the system allows you to BYOK (Bring Your Own Key), ensuring you only pay for the compute you actually use.

Managing Complex Threads

As an upgrade progresses, the conversation with an agent can become cluttered. Utilizing agent threads helps isolate different parts of the migration. You might have one thread dedicated to the data fetching layer and another for the UI components. This ensures that the context window of the AI is not filled with irrelevant information from other parts of the system.

If you prefer a more interactive experience, you can use Ask Deska to drive the workspace via voice or chat. You can tell the assistant to open all files that contain a specific deprecated function, which prepares the canvas for the coding agent to start its work.

FAQ

How to use AI for React migration?

To use AI for React migration, start by providing the agent with the current version and the target version. Feed it the build errors one by one. It is most effective when you ask it to handle one component or one hook at a time rather than the entire project at once.

Can agents fix Next.js breaking changes?

Yes, agents are capable of fixing Next.js breaking changes such as API route modifications or middleware updates. They are particularly useful for migrating from the Pages directory to the App directory, though they require clear instructions on your preferred folder structure.

Is my code safe with coding agents?

Safety depends on the tool. A local-first workspace keeps your source code on your machine. While the AI model receives code snippets to process them, the files themselves are not stored permanently on a third-party server if you use a secure, direct-run environment.

Take Control of Your Technical Debt

Major version upgrades do not have to be a multi week manual effort. By combining the reasoning capabilities of AI agents with a structured, visual workspace, you can navigate breaking changes with much higher confidence. You can see the whole picture, manage your terminals, and edit code in one unified place.

Ready to accelerate your next migration? Download the free desktop app for Mac, Windows, or Linux and start building your upgrade workspace today.