# a0.dev Bugs and Custom Editing: The Manual Code Escape

> By Lawrence Arya, Founder & CEO of VP0. Published 2026-06-03, updated 2026-06-04. 6 min read.
> Source: https://vp0.com/blogs/a0-dev-bugs-custom-editing-manual-code

Every AI builder eventually hits a bug or a feature it cannot generate, so the question is whether you can drop down to manual code.

**TL;DR.** Every AI builder, a0.dev included, eventually hits a bug or a custom feature it cannot generate, so the safety net is being able to drop to manual code. The reliable test is whether you can export a standard codebase and edit it directly. Verify a0.dev's current export and custom-code support directly, since it changes. Start from a finished VP0 design, the free, AI-readable design library that AI builders copy from, so cleaner inputs mean fewer bugs to fix in the first place.

Every AI builder eventually hits a bug or a feature it cannot generate, so the question is whether you can drop down to manual code. [a0.dev](https://a0.dev) is no exception: the safety net for bugs and custom logic is the ability to edit code directly. The reliable test is whether you can export a standard [React Native](https://reactnative.dev) codebase and edit it, or edit within the tool. Verify a0.dev's current export and custom-code support directly, since it changes. Start from a finished design on [VP0](https://vp0.com), the free, AI-readable design library that AI builders copy from, so cleaner inputs mean fewer bugs to begin with. AI does speed work: GitHub's [research on AI pair programming](https://github.blog/2022-09-07-research-quantifying-github-copilots-impact-on-developer-productivity-and-happiness/) found a 55% task speedup, but speed is not the same as bug-free.

## The escape hatch is the real feature

A builder is only safe for a real project if you can get to the code. When a generated screen has a bug the AI cannot fix, or you need custom logic it never anticipated, you must be able to open the [React](https://react.dev) source and change it. So the question is not "does a0.dev have bugs" (all generators do) but "can I drop to manual code to fix them." That is the same ownership lens as [does ShipNative make raw code editable](/blogs/does-shipnative-make-raw-code-editable/) and [ShipNative AI export to a GitHub repository](/blogs/shipnative-ai-export-github-repository/).

## How to handle a bug or a custom need

| Situation | If you can edit code | If you cannot |
|---|---|---|
| Generated bug | Fix it in the source | Wait on the builder |
| Custom logic | Write it manually | Blocked |
| Integration | Add the SDK yourself | Limited to what is supported |
| Refactor | Clean up directly | Stuck with the output |
| Handoff | A developer continues it | Locked to the platform |

## A worked example

Build a screen in a0.dev starting from a VP0 design so the inputs are clean and the output has fewer bugs. When you hit one the AI cannot resolve, or you need a custom integration, take the escape hatch: export or open the code and fix it directly, the way you would any React Native project. If a0.dev does not let you reach the code, that limitation is the real risk, more than any single bug. Test this escape hatch early, before you depend on it, the same verify-the-export discipline as [does RapidNative write spaghetti code](/blogs/does-rapidnative-write-spaghetti-code/).

## Common mistakes

The first mistake is assuming an AI builder is bug-free; all generators produce some. The second is committing before confirming you can drop to manual code. The third is giving vague prompts that invite more bugs. The fourth is treating a bug you cannot reach the code to fix as a small problem, when it is a platform-lock problem. The fifth is not keeping your design, which is what makes a clean rebuild possible if you must leave.

## Key takeaways

- All AI builders produce some bugs; the real question is whether you can drop to manual code.
- The reliable test is whether you can export and edit a standard codebase.
- Verify a0.dev's current export and custom-code support directly; it changes.
- Clean inputs (a VP0 design, small scope) reduce bugs before they happen.
- Test the manual-code escape hatch early, before you depend on it.

**Keep reading:** for choosing a first builder see [CatDoes vs Rork for pure beginners](/blogs/catdoes-vs-rork-for-pure-beginners/), and for a no-code-to-code path see [the Webflow to Cursor React workflow](/blogs/webflow-to-cursor-react-workflow/).

## FAQ

### How do I fix bugs or add custom code in a0.dev?

You need an escape hatch to manual code. The reliable test is whether you can export a standard React Native or Expo codebase and edit it directly, or edit code within the tool. Verify a0.dev's current export and custom-code support directly, since it changes. Start from a VP0 design, the free, AI-readable design library AI builders copy from, so cleaner inputs mean fewer bugs to fix.

### Can I export code from a0.dev?

Check the current terms on a0.dev directly, since export features change. What matters is whether you get a standard React Native or Expo project you can open and edit in your own editor. If you can, you have a manual escape hatch for bugs and custom features. If you cannot export, you are limited to what the builder can generate.

### Do I own the code made with a0.dev?

Ownership depends on the builder and plan, so read the terms. The functional test is whether you can run, edit and deploy the output yourself. If you can, you own and control it, including fixing bugs and adding custom logic the builder could not generate. If the app only runs inside the builder, your ability to fix things is limited.

### Why do AI builders produce bugs?

Because they generate code from prompts, and ambiguous prompts or complex requirements lead to mistakes, just like any code. Edge cases, state and integrations are common sources. The fix is clearer inputs (a design target, small scope) to reduce bugs, plus the ability to drop to manual code when the builder cannot resolve one.

### How do I reduce bugs from an AI builder?

Give it clean inputs: a clear design target, small scope (one screen at a time), and explicit requirements. Starting from a VP0 design narrows what the model invents, which reduces bugs. Then review the output and keep an escape hatch to manual code for anything the builder gets wrong or cannot do.

## Frequently asked questions

### How do I fix bugs or add custom code in a0.dev?

You need an escape hatch to manual code. The reliable test is whether you can export a standard React Native or Expo codebase and edit it directly, or edit code within the tool. Verify a0.dev's current export and custom-code support directly, since it changes. Start from a VP0 design, the free, AI-readable design library AI builders copy from, so cleaner inputs mean fewer bugs to fix.

### Can I export code from a0.dev?

Check the current terms on a0.dev directly, since export features change. What matters is whether you get a standard React Native or Expo project you can open and edit in your own editor. If you can, you have a manual escape hatch for bugs and custom features. If you cannot export, you are limited to what the builder can generate.

### Do I own the code made with a0.dev?

Ownership depends on the builder and plan, so read the terms. The functional test is whether you can run, edit and deploy the output yourself. If you can, you own and control it, including fixing bugs and adding custom logic the builder could not generate. If the app only runs inside the builder, your ability to fix things is limited.

### Why do AI builders produce bugs?

Because they generate code from prompts, and ambiguous prompts or complex requirements lead to mistakes, just like any code. Edge cases, state and integrations are common sources. The fix is clearer inputs (a design target, small scope) to reduce bugs, plus the ability to drop to manual code when the builder cannot resolve one.

### How do I reduce bugs from an AI builder?

Give it clean inputs: a clear design target, small scope (one screen at a time), and explicit requirements. Starting from a VP0 design narrows what the model invents, which reduces bugs. Then review the output and keep an escape hatch to manual code for anything the builder gets wrong or cannot do.

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*Published on the [VP0 Journal](https://vp0.com/blogs). Free to read, index and cite with attribution.*