--- title: "Using AI to Migrate from Lit to React" url: https://daily.dev/posts/using-ai-to-migrate-from-lit-to-react-ydipy0nml source_url: https://www.viget.com/articles/using-ai-to-migrate-from-lit-to-react type: article source: "Viget" published: 2026-08-18T17:20:36.088Z updated: 2026-08-18T17:23:59.672Z tags: ["react", "testing", "ai-coding"] reading_time: 7 upvotes: 2 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Using AI to Migrate from Lit to React **[Viget](https://daily.dev/sources/viget)** · 7 min read · 2 upvotes · 0 comments ## Summary A web agency shares its process for migrating a production codebase from Lit.js to React using AI, driven by new infrastructure requirements and a fixed launch deadline. The approach: pick a strong reasoning model, have the AI build a detailed migration plan with explicit folder structure and testing requirements, test the plan on a few components of varying complexity before running it across the whole repo, and then perform thorough manual and visual QA since AI got some CSS and styling details wrong. The team says AI cut the migration itself from about a month to a few days, though QA still took roughly two weeks, underscoring that human review remains essential. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How can I use AI to migrate a Lit.js codebase to React without missing the deadline? Pick a strong reasoning model such as a newer Claude model, then have it draft a detailed migration plan before touching code, specifying folder structure, naming conventions, testing framework, and CSS approach. Test the plan on a few components of varying complexity first, then run it across the full repo, followed by thorough manual and visual QA since AI can miss styling details. _Teams planning a framework migration can compare AI-assisted workflows and pitfalls on daily.dev._ ### How much time can AI save when migrating components from one framework to another? In one production migration from Lit.js to React, using AI cut the code translation phase from about a month down to a few days, while QA and testing still took around two weeks instead of an additional month. Overall the total migration time dropped from roughly two months to a few weeks, though human review remained necessary throughout. _daily.dev helps developers weighing AI-driven migration timelines against manual rewrite estimates._ ### What should I ask an AI model to do when building a Lit-to-React component migration plan? Instruct it to translate each Lit component into a matching React component, duplicating every Lit @property, moving CSS into CSS modules, generating a test file covering all functionality, running the tests and fixing failures, and migrating Storybook stories to pull in the new React components. Also specify the exact target folder and file structure so the AI doesn't improvise conventions. _daily.dev surfaces practical prompt patterns for developers automating codebase migrations._ ## Similar posts on daily.dev - [Agents change the math on big bang migrations](https://daily.dev/posts/agents-change-the-math-on-big-bang-migrations-pac5lf3qj) · swizec.com · 34 upvotes · 8 comments --- Tags: [#react](https://daily.dev/tags/react), [#testing](https://daily.dev/tags/testing), [#ai-coding](https://daily.dev/tags/ai-coding) [View this post on daily.dev](https://daily.dev/posts/using-ai-to-migrate-from-lit-to-react-ydipy0nml)