40 questions answered. Every answer sourced.
Vibe Coding Problems and How to Fix Them
The first week of an AI build is exciting; the second is often bugs, broken layouts and deployment errors. This page covers the problems builders report most, why they happen, and the fixes that work, plus how to keep ownership of your code.
GPTPrompts.AI Editorial
Answers checked against each tool's own documentation, October 2026 · Last updated October 2026
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01 · Bugs
Bugs, context loss and the week-two wall
AI builders work from what fits in their current context. As a project grows, early decisions fall out of view, which is when consistency breaks down.
Why does a project fall apart after a promising first week?
Early on, the whole project fits in the AI's context. As it grows, the AI forgets earlier decisions and makes changes that conflict with them. Keep a living requirements document, ask the AI to re-read it before major changes, and keep each change small enough to test.
Why does the AI stop following my requirements document?
Long chats push the document out of the AI's working memory. Re-attach or paste the relevant section with each significant prompt, keep the document short, and update it whenever you change a decision so the AI is not following an outdated version.
How do I keep architectural choices consistent as features grow?
Write down the decisions once, such as which database, how logins work and the folder structure, and include them in prompts that touch those areas. Ask the AI to follow existing patterns in named files rather than inventing new ones.
Does vibe coding hit a wall when a project gets large?
Often, around the point the codebase no longer fits in the AI's context. You can push past it by working on one feature area at a time, refactoring periodically, and moving to a code editor connected to GitHub for larger changes. Very large apps usually benefit from a developer.
What are the main problems people encounter with Bolt, Lovable, and v0?
The common ones across tools: bug loops where fixes break other features, credits spent on rework, authentication and payment integrations that are hard to get right, generic design, and deployment configuration. None is unique to one tool; small steps and saved versions help on all of them.
How do I escape a loop where fixing one feature breaks another?
Stop prompting fixes. Roll back to the last version where both features worked, then make the change again in a smaller step, telling the AI exactly which feature must not change. Give it the exact error message rather than describing symptoms.
Why is a basic authentication feature consuming so many credits?
Authentication touches the database, access rules, pages and redirects at once, so it is a large change that often needs fixes. Use the builder's built-in login where available, such as Base44's built-in authentication, and ask for it in one well-specified prompt.
Source: Base44 Support Documentation: Connecting GitHub to your app; GPTPrompts.AI: How to manage vibe coding credits
How do I get Stripe or API integrations working reliably?
Use test mode first: Stripe provides test keys and test card numbers so you can try payments without real money. Keep secret keys on the server or in environment variables, never in the browser, and test the full flow, including failed payments, before going live.
Source: Stripe Docs: Testing; Vercel Docs: Environment variables
02 · Design
Design and branding
AI sites look alike because they start from the same defaults. Specific design direction is what makes one look intentional.
How do people build good-looking websites with AI?
They give specific direction: two or three reference sites, a colour palette, named fonts, and a description of the mood. They also edit copy and images themselves rather than accepting placeholders, and refine one section at a time.
Why do so many AI-built websites look alike?
Builders share similar component libraries and design defaults, and most prompts ask for the same thing: a modern landing page. The result is the same hero, gradient and card grid. Specific direction overrides the defaults.
How can I avoid generic gradients and excessive animation?
Say so explicitly: no gradients, solid backgrounds, minimal motion, animation only on hover. Provide your palette as hex codes and ask for one accent colour. Constraints produce more distinctive designs than open requests.
How do I fix crowded and broken mobile layouts?
Check the mobile preview after every layout change, and ask for fixes per screen size: on mobile, stack these cards vertically and reduce the heading size. Remove sections that do not earn their space on a phone rather than squeezing them in.
Why do AI-generated websites look the same?
Same defaults, same prompts. Most builders ship a similar modern look out of the box. Give the AI your brand, your references and your constraints, and it will move away from the template.
How do I make an app that does not look obviously AI-generated?
Use real content and photos instead of placeholders, a distinctive font pairing, a restrained palette, and fewer decorative elements. Write your own headlines. The most AI-looking sites are the ones with generic copy.
How do people manage precise UI adjustments on AI-built apps?
With visual editing for small changes, which Lovable offers for selecting and editing elements directly, and precise prompts for the rest: name the element, the property and the value, such as button padding 12px. For pixel-level work, edit the code directly via GitHub.
Source: Lovable Docs: Deployment, hosting, and ownership options; Lovable Docs: Sync your Lovable project with GitHub
How do I improve UI/UX without changing the app's core functionality?
State the boundary in the prompt: change only styling and layout on this page; do not change any data, logic or behaviour. Save a version first and test the main user flows afterwards.
Which AI can generate website files together with photos and graphics?
Chat builders generate the site and can place stock or generated images, but quality images usually come from a dedicated image tool. A common workflow is to build the site in Lovable or Base44 and create visuals in an AI image generator, then upload them.
How do I integrate separately generated images into my website?
Upload them to the builder's asset or media area and ask it to use that file in a specific section. Give images clear file names, compress them first, and include alt text describing each one for accessibility and SEO.
How do I get clean relative image paths in an exported site?
Keep images inside the project, for example in a public or assets folder, and ask the AI to reference them by relative path rather than external URLs. Check the exported build locally before uploading, since broken paths show up as missing images.
How can I improve the design of my first AI-built website?
Fix the basics in this order: real copy, consistent spacing, one font pairing, fewer colours, good images, and a clear call to action on each page. Then ask three people to use it and watch where they hesitate.
How can I evaluate the user experience of my first site?
Watch real people try a specific task, such as booking a call, without helping them. Run Lighthouse in Chrome for performance and accessibility basics. Fix where people get stuck before adding features.
What should I learn after launching my first website?
Basic SEO and metadata, how your data is stored and protected, and reading your site's code with AI explanations. Those three make every later project faster and safer.
Source: Google Search Central: JavaScript SEO basics; GPTPrompts.AI: How to secure an AI-built website
03 · Deploying
Deployment and hosting
Chat builders publish with one click. Deployment gets hard when you move a project off the builder, where configuration the builder handled becomes your job.
How do I go from AI-generated code to a fully deployed app?
Easiest: publish from the builder itself. To host elsewhere, push the code to GitHub, import the repository into a host such as Vercel or Netlify, add your environment variables, and deploy. Lovable documents this route for hosting outside Lovable.
Source: Lovable Docs: Deploying and hosting outside Lovable; Vercel Docs: Deploying to Vercel
How do I connect the frontend, backend, database, and authentication?
Let one platform own them if you can: Base44 includes the database, backend functions and login; Lovable connects to a managed backend. Wiring separate services yourself means managing URLs, keys and access rules for each, which is where most errors come from.
Source: Base44 Support Documentation: Connecting GitHub to your app; Lovable Docs: Deployment, hosting, and ownership options
How do I set environment variables correctly?
Put every key and URL your app needs in the host's environment variable settings, not in the code, and use the exact names the code expects. Set them for each environment, such as preview and production, then redeploy so they take effect.
How do I deploy improvements after testing the live application?
Use a preview first: hosts such as Vercel create a preview deployment for each change, which you test before promoting to production. Never test new features directly on the live site.
Source: Vercel Docs: Deploying to Vercel
How are nontechnical builders deploying their apps?
Mostly with the builder's own one-click publishing, which handles hosting and certificates. Those who need more control sync to GitHub and connect a host like Vercel or Netlify, following the builder's documented steps.
Source: Lovable Docs: Deploying and hosting outside Lovable; Netlify: Deploy your Bolt app to Netlify
How do nontechnical people handle hosting and DevOps?
By choosing platforms that handle it: managed hosting, automatic deploys from GitHub and built-in logs. Keep a short note of every service, its login owner and its cost, so nothing is forgotten.
Source: Vercel Docs: Deploying to Vercel
Why is deployment harder than building the prototype?
The builder hid configuration: keys, database URLs, build settings and domains. Moving off it exposes all of them. Missing or misnamed environment variables are the usual cause when a deployed app shows no data.
Source: Vercel Docs: Environment variables; Lovable Docs: Deploying and hosting outside Lovable
How do I deploy a web app after generating its code?
Push the code to GitHub, connect the repository to a host such as Vercel or Netlify, confirm the build settings it detects, add environment variables and deploy. Each later push redeploys automatically.
Source: Vercel Docs: Deploying to Vercel; Netlify: Deploy your Bolt app to Netlify
04 · Ownership
Code ownership and portability
Exporting code is easy on most builders; exporting a working backend is the hard part. Check both before you commit to a platform.
Which AI website builders let me export the full source code?
Lovable exports and two-way syncs your project to GitHub. Bolt lets you download the project from its project menu. v0 says you can export code and deploy elsewhere. Base44 apps rely on Base44's built-in backend services, so check what moves with the code before committing.
Source: Lovable Docs: Sync your Lovable project with GitHub; Bolt.new Support: Manage your projects (download); v0 Docs: FAQs; Base44 Support Documentation: Connecting GitHub to your app
Can I host an AI-built website on my own server?
Usually yes for the front end. Lovable documents hosting outside Lovable, including self-hosting parts or all of the stack. You still need the backend services, such as the database and login, to be reachable from your server.
Source: Lovable Docs: Deploying and hosting outside Lovable; Lovable Docs: Deployment, hosting, and ownership options
Which visual builders avoid mandatory hosting subscriptions?
Builders that export code let you host it wherever you like, including free static hosts. Lovable's GitHub export and Bolt's download both allow this. Builder-hosted backends still need their own plan if you use them.
Source: Lovable Docs: Sync your Lovable project with GitHub; Bolt.new Support: Manage your projects (download)
Which AI generates a complete site I can upload to existing hosting?
Builders that export code can, but most export a project that must be built first, not ready-to-upload HTML files. After running the build step, you upload the output folder. A purely static site is the simplest case for traditional hosting.
Does code export mean ready-to-upload files or a project that requires a build?
Usually a project that requires a build. Modern AI builders generate React-based projects; you run the build command to produce the static files your host serves. Netlify, for example, documents building a Bolt project and dragging the built files to Netlify Drop.
Will the exported site depend on the original builder's backend?
If it uses the builder's backend services, yes. A Lovable app using a managed backend keeps calling it after export unless you migrate the data. Base44 apps use its built-in database, functions and authentication. Plan for this before you need to leave.
Source: Lovable Docs: Deployment, hosting, and ownership options; Base44 Support Documentation: Connecting GitHub to your app
Can I transfer a website built with ChatGPT to a regular hosting service?
Yes, if ChatGPT gave you complete files. Plain HTML, CSS and JavaScript can be uploaded directly to almost any host. If it produced a React or framework project, build it first and upload the output folder.
Can an existing WordPress website be migrated without losing backend functionality?
Not automatically. WordPress plugins, forms and custom fields have to be rebuilt in the new stack. Inventory every feature and plugin first, then decide whether a rebuild is worth it; for content-heavy sites, staying on WordPress is often sensible.
How do I preserve SEO data, image paths, and custom fields during migration?
Export all content, keep URLs identical or redirect every old URL to its new one, carry over titles and meta descriptions, and migrate images with their alt text. Then check the new site in Google Search Console after launch.
Would a dashboard that updates existing client sites be worth paying for?
For agencies managing many sites, it can be, if it saves more time than it costs and keeps clients from breaking things. Validate by asking a few agencies what they pay today for maintenance before building one.
Sources
Read and checked October 2026. Policies change, so confirm anything time-sensitive on the source page.
- Lovable Docs: Sync your Lovable project with GitHub
- GPTPrompts.AI: How to manage vibe coding credits
- Base44 Support Documentation: Connecting GitHub to your app
- Stripe Docs: Testing
- Vercel Docs: Environment variables
- Lovable Docs: Deployment, hosting, and ownership options
- Google Search Central: JavaScript SEO basics
- Chrome for Developers: Lighthouse overview
- GPTPrompts.AI: How to secure an AI-built website
- Lovable Docs: Deploying and hosting outside Lovable
- Vercel Docs: Deploying to Vercel
- Netlify: Deploy your Bolt app to Netlify
- Bolt.new Support: Manage your projects (download)
- v0 Docs: FAQs