Bolt.new Tutorials

Beginner’s Guide to Building Your First App on Bolt.new

Every maker remembers a first build — the nervous excitement, the tiny breakthroughs, the moment it actually works. This guide meets that moment with a clear, practical path for turning an idea into a live web project in about 10–15 minutes.

The approach is pragmatic: sign in with Google, GitHub, or email (no credit card), submit a simple prompt — for example, a pet name picker — then watch the Preview show real results. Readers learn to prompt, preview, refine, and publish while staying in control with code view and version history.

The platform uses tokens to read, think, and build; token use scales with complexity and can be tracked in settings and subscription panels. This beginner-friendly guide frames the tools and process so developers and non-developers alike can iterate fast and ship confidently.

Key Takeaways

  • Expect a 10–15 minute flow: prompt, preview, refine, publish.
  • Sign in quickly with Google, GitHub, or email—no payment required.
  • Use Preview and Selector to validate features and UI fast.
  • Track token usage to manage scope and predict results.
  • Version history and Code view let makers experiment without risk.
  • One-click publishing turns a prototype into a live web app the same day.

What Is Bolt.new and how it speeds up app development

A single clear prompt can produce UI, endpoints, and storage wiring—so teams reach a prototype fast.

The platform from the StackBlitz team automates routine work by turning natural-language prompts into real project files. It scaffolds pages, routes, APIs, and storage so creators move from idea to demo in minutes.

Rapid prototyping and AI code generation let teams validate features, test product assumptions, and iterate without long sprints. Developers retain control: generated files are editable in code view for precise improvements.

How it compares to other tools

  • Versus AI code editors: It builds the glue—pages and endpoints—so fewer manual steps are needed before a demo-ready app exists.
  • Versus no-code: Outputs real code and files, which supports long-term extensibility and engineer handoff.
  • Supports Nuxt, Vue, React, and Astro—leveraging existing skills and ecosystem packages.
Capability AI code editor Prompt-based builder No-code
Scaffolding Partial – requires edits Full – pages, routes, APIs Visual blocks only
Output Code snippets Complete project files Proprietary app
Extensibility High High Limited
Best for Hands-on developers Fast prototyping teams Non-developers

For a practical walkthrough, consult the intro guide. Teams should write precise prompts: specificity improves generation quality and reduces cleanup in the next step.

Before you start: prerequisites, time, and setup

Before you click Build, make a short checklist so the first run is smooth and focused.

Browser requirements and sign-in options

Start in a Chrome or Chromium-based browser such as Opera, Brave, Edge, or Vivaldi. This avoids compatibility surprises and ensures parity with the Preview and code editor tools.

Plan 10–15 minutes for your first build. That window keeps momentum high and sets a realistic expectation for a working app.

Sign in quickly with Google, GitHub, or email. No credit card is required—so teams can explore the process without billing friction.

Understanding token-based usage before your first build

The platform consumes tokens when it reads context, reasons about changes, and builds files. Awareness of token draw prevents unexpected slowdowns and helps maintain control over scope.

  • Turn on “Display token usage in chat” under Personal Settings > General to see costs per step.
  • Check Subscription to note remaining tokens before you start; this gives a baseline for measuring usage.
  • Keep the first app modest in scope—small data flows and a simple database model cut token spend and speed iteration.

With a short checklist—browser, sign-in, token display toggled—users reduce cognitive load and enter the build with focus and confidence.

Bolt.new Tutorials: your first prompt to a working app

Begin with a clear, feature-first prompt. Open the builder, paste the sample Pet Name Picker prompt (animal and category dropdowns, email auth, and favorites), and submit. If required, sign in and complete the optional survey. Then wait roughly five minutes while the system scaffolds UI, routes, and backend wiring.

Open and submit a precise prompt

Enter a prompt that lists concrete functionality: dropdowns, authentication, favorites, and expected flows. Short, declarative sentences work best—“Create user email sign up and log in.”

Preview and validate core features

Use Preview to run a quick acceptance test. Select an animal, pick a category, generate a name, and try favorites. Note differences in behavior for signed-in users and guests.

Tips for better prompts and next steps

Check Subscription before and after the build to establish a token baseline; this frames the cost of your first scope. Treat this as version one: capture preview observations and convert them into targeted follow-up prompts.

  • Be specific: list UI elements and user actions.
  • Keep requests granular: small asks yield cleaner code and faster results.
  • Iterate: use Preview feedback to refine prompts and speed development.

Track token usage to control costs and iterate smarter

Measure token draw per action to turn iteration from guesswork into a data-driven habit.

Enable Display token usage in chat under Personal Settings > General. Then open Subscription to read remaining tokens before you start. This simple check gives immediate control over spend and planning.

Turn visibility into a repeatable process

Compare remaining tokens before and after a change. For example, using the Selector to alter an app title dropped tokens from 96K to 26K — about 70K consumed. That shows a small UI change can still be costly.

  • Treat usage as data: keep a short table of action → tokens used to inform future projects.
  • Sequence work: front-load high-value steps and use small, surgical prompts for efficiency.
  • When changes are cosmetic, prefer code view to save tokens for higher-impact updates.
  • Use version checkpoints to bracket experiments and roll back if a path uses too many tokens.
Action Tokens Why
Initial full build 96K Large context and scaffolding
Selector title change 70K Extra reasoning for UI change
Small prompt tweak ~5–10K Targeted update

Standardize prompt styles across teams and track each step. Over time the process reduces surprise, lowers costs, and speeds iteration on projects. For framing and better prompt patterns see prompting tips.

Test core features: authentication, data persistence, and favorites

Begin testing with a simple account to verify authentication and storage behave as expected.

Create a test user with sample details. Complete the sign-up form and confirm the email flow. Log in, then generate several names and mark favorites to exercise write operations.

Scroll the favorites area to confirm persistence. A refresh should show saved items; this proves the database records are created and retrieved correctly. The platform provisions two built-in databases on cloud hosting—one for favorites and one for authentication—so teams skip manual setup.

Watch for UI signals like loading states and error messages. If errors appear, capture the exact text and reproduction steps; that precision speeds fixes in prompts or code edits.

Test Action Expected result Why it matters
Authentication Sign up and confirm email User can log in Ensures auth reliability
Favorites write Generate names → Save Items persist after reload Validates database writes
UX checks Trigger slow/network states Clear loading or error text Improves user experience

Prioritize fixes that block core value—authentication and data integrity—before visual polish. For a guided build walkthrough see build an app with Bolt.

Edit with selectors and prompts: quick UI and copy changes

A precise selection and a short prompt can fix copy or layout in seconds. This section shows how to use the Select icon to target one element, issue a focused prompt, and measure the cost in tokens and time.

Using the Select tool lets teams pinpoint elements—like the site title—and ask the system to change only what matters. Click the Select icon in chat, choose the app title (“Pet Name Picker”), then prompt: “Change the title of the app to PetPick.”

A modern workspace featuring a laptop open to a UI design platform, displaying vibrant selectors and prompts for app editing. The foreground consists of a sleek, minimalist desk with a stylish keyboard and mouse. In the middle, the laptop screen emanates a soft glow, highlighting intuitive buttons and copy changes in vivid colors. A notepad and a cup of coffee sit nearby, suggesting a productive environment. In the background, a large window allows natural light to stream in, creating a bright and inviting atmosphere. The scene has a warm, professional mood, evoking creativity and focus. The angle is slightly elevated, capturing the entire workspace while emphasizing the laptop and its interface, with no text overlays or distractions.

Quick edits without heavy lift

Selector-driven edits are focused but still draw tokens. In one example, tokens dropped from 96K to 26K—about 70K used for that change, far less than a full rebuild.

  • Pinpoint changes: The Select tool targets a single element to reduce scope.
  • Save time: Small prompts for copy and minor style tweaks beat hunting through files.
  • Watch tokens: Even short edits require context reading—track the step delta.
  • Use code view: When time or tokens are tight, edit text directly in the editor to avoid token spend.
  • Batch edits: Group several small text changes into one prompt to lower repeated context work.

Treat the Select tool as a scalpel: ideal for element-level improvements that don’t justify a full refactor. Keep a short changelog of what changed, why, and the token cost per step—this refines future prompts and balances speed with thrift.

Version history and safe rollbacks when things go wrong

When an experiment breaks expectations, version history offers a fast path back to a stable build.

Automatic backups act as a safety net. Each snapshot captures the project state so teams can preview past work before committing to a restore.

To restore a prior snapshot, follow this clear step sequence: click the project title (top left) > Version history; open the bottom entry in preview; click “Restore this version” and confirm.

In one example, restoring reverted the name PetPick back to Pet Name Picker, showing that UI text, styling, and structure all rolled back together.

Restore automatic backups to undo unwanted changes

Use the preview to inspect a snapshot. Previewing avoids surprises and gives confidence before applying a full restore.

  1. Open Version history from the project title.
  2. Preview the target snapshot (bottom entries often hold recent checkpoints).
  3. Click “Restore this version” and confirm the action.
  • Version history offers a safety net you can preview first.
  • Follow the deliberate sequence above to roll back safely and quickly.
  • Rollbacks are holistic—UI, copy, and structure return to a known state.
  • When experiments produce errors, a fast revert preserves momentum over prolonged fixes.
  • Adopt checkpoints at milestones: after initial build, post-auth setup, and before big UI sweeps.

“Version history harmonizes speed and safety—ship quickly, iterate bravely, and retain the option to return to stability.”

Establish a clear ownership model for restores versus refactors. Record what triggered a rollback—these notes improve future prompts and reduce repeated mistakes in development workflow.

Code view power: search, edit, and save without using tokens

When speed and precision matter, the code editor is the fastest path to exact fixes.

The editor gives direct control over files so teams can make deterministic changes without consuming tokens.

Click the code view icon (top center), use the Search icon, and type a known string such as “Pet Name Picker.” The search surfaces the correct file—open App.tsx, change the title to PetPick, click Save, and return to Preview. These edits apply immediately and use zero tokens.

Finding the right file with search

Search helps locate a file quickly. Typing a UI string or constant finds the exact file and line you need.

This cuts time in a tight development step: search → open file → edit → save → preview.

When to prefer direct coding versus prompting

Prefer direct coding for deterministic work: copy updates, constants, simple styles, and one-line fixes. The editor preserves linting and exact control.

Use prompts when changes span many files, require high-level refactors, or need AI reasoning—those are appropriate for broader, structural work.

Task Best method Why
Change site title Code view Deterministic, immediate, no tokens
Update API signature Code view + audit Precise edits across files; document affected paths
Add a new feature across routes Prompt-driven build AI scaffolds pages, endpoints, and wiring faster
Batch copy/style tweaks Code view Group edits, save immediately, keep control

Process checklist: search for the file → open the editor → apply changes → save → preview. Repeat when needed and document paths when multiple files change.

For examples and community tools, explore the project repository or read a practical guide on building no-code AI SaaS approaches at Miloriano’s walkthrough.

Building beyond the basics: APIs, databases, and richer features

When an app needs more than UI, the next step is clear: add endpoints, durable storage, and richer inputs.

Generate API endpoints for simple CRUD flows and confirm request/response shapes match the UX. In a Nuxt blog example, the builder created comment endpoints and required installing nanoid for UUIDs in Node 18.

Integrate KV-style storage

Use Nitro’s useStorage to wire a database abstraction. It maps to Cloudflare KV, Netlify Blob, or Vercel KV so deployments need minimal changes.

In development, in-memory storage persists during a session—handy for validating flows before provisioning external stores.

Rich text, timestamps, and small UX wins

Add TipTap for rich text and escape HTML safely; style with Tailwind typography. Install VueUse and useTimeAgo for relative dates—small features that raise polish.

Authentication choices and common pitfalls

Authentication often needs manual fixes: update packages, set correct env names (for example NUXT_OAUTH_GITHUB_CLIENT_ID/SECRET), and add required server routes. If auth blocks progress, roll back and tackle a smaller scope.

Task Why Hint
api endpoints Wire UI to server Verify shapes and file paths
database Persist user data Use useStorage for portability
authentication Secure user flows Confirm env vars and server routes

“Start small, test end-to-end, and record file paths, env vars, and data shapes for every change.”

Publish and deploy: from Bolt Cloud to external hosts

A simple deploy workflow turns a prototype into a shareable page in under a minute.

One-click publish with built-in hosting

Use the Publish button (top right), confirm, and wait about a minute. A chat message returns the live URL.

This is the fastest way to demo a project: ideal for stakeholder reviews and early user tests.

Deploy to Netlify and add a custom domain

For production workflows, connect your repository to Netlify. Automatic deploys on push create a smooth CI/CD loop.

After linking, add a custom domain for brand trust and configure DNS once. Watch environment variables and database credentials when you move off built-in hosting.

Alternatives to try in your workflow

Consider Base44 for another AI-first builder and Cursor for an AI-assisted coding editor. Each tool offers a different way to ship apps and manage code.

Environment URL Notes
Preview preview.example.com Fast share link for demos
Staging staging.example.com Test auth and apis before release
Production www.example.com Custom domain, monitoring enabled

Test key pages after deploy—home, auth flows, and API-driven pages. Track performance and errors early; this feedback guides quick fixes and improves confidence for users.

Conclusion

A focused workflow turns an idea into a working project and keeps iteration efficient. This guide shows a clear path: prompt, preview, validate, and refine with intention.

Start small and measure each step. Track token use, test authentication and persistence, and prefer code edits for deterministic fixes. These habits make development predictable and fast.

Version history lets teams experiment without fear; publishing is one click for quick demos and Netlify gives a path to custom domains and CI/CD. Advanced features—APIs, KV storage, rich text—are available when the scope grows.

Keep users and the user journey central: tight feedback loops turn short text and micro-UX changes into compounded gains. Now take action—build the first app, learn, and iterate.

FAQ

What is the fastest way for a beginner to build a simple web app on Bolt.new?

Start with a clear, feature-focused prompt that lists core pages, user flows, and essential data fields. Use the platform’s rapid prototyping and AI code generation to get a working preview, then validate features like forms and navigation before refining UI and styles.

How does Bolt.new speed up app development compared to traditional tools?

It combines AI-assisted generation with instant previews and editable code. That means teams can go from concept to a running prototype in minutes, iterate on UI and logic via prompts or direct edits, and cut the manual scaffolding common in conventional stacks.

How does this compare to AI code editors and no-code platforms?

Unlike pure no-code tools, it outputs editable source code and supports direct file search and edits. Compared to AI code editors, it focuses on full-app generation and in-browser previews, so prototyping and validating interactions require less setup.

What are the browser requirements and sign-in options?

Use a modern Chromium-based browser or the latest Firefox and ensure JavaScript is enabled. Sign-in typically supports email or OAuth providers; verify account options in your workspace settings to choose the best authentication path.

What should I know about token-based usage before building my first app?

Tokens meter AI operations and preview generations. Enable token display in chat to monitor consumption, estimate prompt cost before heavy iterations, and keep prompts concise to control spend while still getting useful output.

What’s a good first prompt to create a working app?

Provide a short project title, a list of core pages (home, auth, dashboard), key user actions (signup, save favorites), and sample data fields. Mention desired styling and primary integrations to help the generator produce coherent UI and API structure.

How do I preview and validate the generated app?

Use the built-in preview to test links, forms, authentication flows, and data persistence. Check that critical features function before editing: sign-in, saving records, and navigation. Fix failures iteratively with targeted prompts or direct code edits.

Any tips for writing prompts that produce better results?

Be explicit about scope, list concrete UI elements, include sample data, and state platform constraints (browser, database). Short iterative prompts work better than one long request—ask for one feature at a time, then expand.

How can I track token usage and estimate costs?

Turn on token display in chat, review usage per request, and use conservative prompts during early tests. Estimate token cost by measuring a few representative prompts, then multiply by expected iterations to plan budget.

How do I test authentication, data persistence, and favorites?

Create test accounts, exercise signup and login flows, add and retrieve saved items to confirm persistence, and check favorite toggles across sessions. Use the preview environment with realistic sample data to catch edge cases.

How do selectors and the Select tool speed up UI edits?

The Select tool targets elements visually so you can change copy, classes, or layout with a prompt rather than editing multiple files. It reduces token spend for small UI tweaks and keeps iterations focused.

When should I make small text or style changes via prompts versus code edits?

Use prompts for quick copy or minor style shifts to save time and tokens. Prefer code edits for structural changes, logic updates, or when you need precise control—those edits can be made in code view without consuming tokens.

How do automatic backups and version history work for rollbacks?

The platform maintains version snapshots and automatic backups you can restore. If a change breaks the app, use version history to roll back to a stable snapshot and then apply fixes in a controlled branch.

How can I find and edit specific files like App.tsx?

Use the code view search to locate filenames or symbols (for example, App.tsx or main routes), open the file, make edits, and save. Direct saving in code view avoids token spend and supports precise changes.

When is direct coding preferable to prompting?

Choose direct coding for complex logic, performance optimizations, tight dependency management, or when you require exact control of implementation details. Use prompting for high-level scaffolding and rapid iterations.

How do I generate API endpoints and wire simple data flows?

Request API endpoint generation with defined routes and expected payloads, then connect endpoints to storage abstractions. Test endpoints in the preview and iterate until data flows correctly between UI and backend.

What storage options exist and when should I use platform KV abstractions?

Use KV storage for simple key-value needs and session data. Opt for a relational or external database when you need complex queries, relationships, or transactional guarantees. KV works well for fast prototyping and caches.

How do I add rich text inputs and improve UX elements?

Add dedicated rich text components, validate input handling, and provide clear placeholders and tooltips. Test on desktop and mobile; prioritize accessibility and keyboard navigation to make interactions intuitive.

What authentication choices are available and what pitfalls should I avoid?

Typical options include OAuth providers, email/password, and third-party identity services. Avoid storing secrets in client code, ensure secure session handling, and test password reset and token expiry flows thoroughly.

How does one-click publish work and what are hosting options?

One-click publish uses built-in hosting to deploy instantly from the workspace. Alternatives include exporting and deploying to hosts like Netlify or Vercel; each option has trade-offs in customization and control.

How do I deploy to Netlify and add a custom domain?

Export the project or connect the repo to Netlify, configure build settings, and add DNS records for your custom domain. Verify SSL provisioning and test the live site for any environment-specific issues.

What alternatives should I consider in a broader workflow?

Consider platforms like Vercel or Render for hosting, and use version control with GitHub for collaboration. Explore integrations with Base44 or Cursor if they fit specific needs for data handling or editing workflows.

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