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How to build Budgeting tool with Lovable?

Learn step-by-step how to build a robust budgeting tool with Lovable, integrating templates, analytics, and user-friendly UI to manage finances efficiently with exports

Matt Graham, CEO of Rapid Developers

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How to build Budgeting tool with Lovable?

You can build a simple, production-capable budgeting tool in Lovable by using Chat Mode to create React pages/components, optional Supabase persistence (via Lovable Secrets), Preview to test in-browser (localStorage first), and Publish to let Lovable run the build/install for deployment. Below are step-by-step Lovable prompts you can paste into Chat Mode to implement the app, wire optional Supabase, and verify everything — no terminal required inside Lovable.

 

What we’re building / changing (plain English)

 

Budgeting tool with: transaction list, add/edit transaction modal, category budgets, and a simple summary view. Works in Preview using browser storage; optional Supabase mode for persisted multi-user data using Lovable Secrets (SUPABASE_URL and SUPABASE_ANON\_KEY).

 

Lovable-native approach

 

Use Chat Mode edits to create files and components, Preview to test in-browser (localStorage path), Secrets UI to store Supabase keys if you want persistence, and Publish to run the build/install (Lovable does installs during Publish). If advanced server logic is needed later, use GitHub export/sync and run serverless functions outside Lovable.

 

Meta-prompts to paste into Lovable

 

Paste each prompt below into Lovable Chat Mode one at a time. After each, use Preview to verify and iterate.

 

Prompt 1 — Scaffold UI and local storage

Goal: Create a minimal React budgeting app that stores data in browser localStorage.

Exact files to create/modify:

  • src/App.tsx — set up routes and nav.
  • src/pages/Home.tsx — summary view.
  • src/pages/Transactions.tsx — list + add form using localStorage.
  • src/lib/db.ts — localStorage adapter (get/add/delete transactions).

Acceptance criteria (done when):

  • Preview shows home and transactions routes.
  • Adding a transaction stores it and it reappears after refresh (localStorage).

Include this instruction to Lovable (file diffs):

// create src/lib/db.ts
export type Transaction = { id: string; date: string; amount: number; category: string; note?: string; }
const KEY = 'budget.transactions'
export function getAll(): Transaction[] { /* read JSON from localStorage */ }
export function add(tx: Transaction) { /* push and save */ }
export function remove(id: string) { /* filter and save */ }
// update src/pages/Transactions.tsx
// implement UI: form fields (date, amount, category, note), list, delete button
// use src/lib/db methods

 

Prompt 2 — Add category budgets and summary

Goal: Add budget targets per category and show summary vs spent.

Exact files:

  • src/lib/db.ts — add get/set budgets.
  • src/pages/Home.tsx — show total spent and per-category usage vs budget.

Acceptance criteria:

  • Home shows category totals and budget targets.
  • User can set budgets and changes persist in localStorage.

Include code guidance:

// add functions: getBudgets(), setBudget(category, amount)

 

Prompt 3 — Optional: enable Supabase persistence

Goal: Make data save to Supabase when SUPABASE_URL and SUPABASE_ANON\_KEY are set in Lovable Secrets; otherwise fallback to localStorage.

Exact files:

  • src/lib/db.ts — add a Supabase client branch using @supabase/supabase-js.
  • package.json — add dependency " @supabase/supabase-js " (Lovable will install on Publish).

Acceptance criteria:

  • When Secrets are set and Preview detects them, transactions are loaded from Supabase and saved there.
  • When Secrets missing, app uses localStorage.

Secrets / integration steps:

  • In Lovable Cloud Secrets UI add SUPABASE_URL and SUPABASE_ANON\_KEY.
  • Enable Supabase CORS to allow Preview origin if testing remote DB.

Include code guidance:

// in src/lib/db.ts
// if process.env.SUPABASE_URL && process.env.SUPABASE_ANON_KEY then init supabase client
// export async functions getAll(), add(), remove() that call supabase.from('transactions')...

 

How to verify in Lovable Preview

 

  • Use Preview to open the app. Add transactions, set budgets, refresh Preview — data should persist via localStorage.
  • If Supabase enabled, set Secrets and re-preview — transactions should load from Supabase table.

 

How to Publish / re-publish

 

  • Publish in Lovable to trigger build; Lovable will install dependencies declared in package.json during publish. No terminal needed.
  • After changing Secrets or code, republish so Lovable rebuilds with new env and packages.

 

Common pitfalls in Lovable (and how to avoid them)

 

  • Missing Secrets: Preview won’t see Lovable Cloud Secrets unless you Deploy/Publish; test localStorage first.
  • Dependencies: Adding new npm packages requires Publish to install; expect build time on first publish.
  • DB CORS: If Supabase rejects requests from Preview origin, allow CORS or test with Publish URL.
  • No terminal: Any advanced scripts or migrations require GitHub export/sync and running locally/CI (label those steps “outside Lovable (terminal required)”).

 

Validity bar

 

This plan uses Lovable-native features only (Chat Mode edits, Preview, Secrets UI, Publish, GitHub export for external CLI work). If you need server-side migrations or functions, I’ll mark those as outside Lovable and provide clear GitHub/terminal steps.

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How to add an immutable audit log to a Budgeting tool with Lovable

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to detect and flag duplicate transactions with Lovable

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to add Category Budget Overspend Alerts with Lovable

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

Want to explore opportunities to work with us?

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Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Budgeting tool with AI Code Generators

Build it as a small, auditable web app where AI helps generate focused code patches (not whole-app magic), keep secrets and sensitive logic server-side (use Lovable Secrets + API routes), use Preview to iterate and test, and push database migrations or heavy ops through GitHub export/sync or your DB provider UI (no terminal in Lovable). AI should produce small, reviewed diffs; wire integrations (Supabase, payment, bank APIs) using Lovable Secrets; validate/authorize every external call; and use Preview + unit/contract tests (generated by AI but reviewed) before Publish.

 

Design & data model

 

Start with a simple schema for transactions, accounts, budgets, and categories. Keep core budget calculations on the server (API route) so you can rotate keys safely in Lovable Secrets and avoid client-side exposure.

  • Single source of truth: transactions table + category tags + account balances.
  • Store raw + normalized data: raw_bank_payload and normalized fields (amount, date, category).
  • Use RLS/roles in Supabase: enforce per-user access on DB level.

 

How to use AI code generators effectively in Lovable

 

  • Ask for small patches: request focused file diffs/patches in Chat Mode (easier to review and revert).
  • Require tests: ask the generator to also produce unit tests and an API contract example.
  • Review diffs closely: use Preview to run the app and inspect behavior before Publish.
  • Prompt for explanations: have the generator include short comments and a one-paragraph security note with each patch.

 

Secrets, integrations, and Lovable workflow

 

  • Use Lovable Secrets UI: store SUPABASE_URL, SUPABASE_SERVICE\_ROLE, bank API keys there — never check them into files.
  • Local dev parity: don’t assume you can run CLI migrations in Lovable. For DB migrations use Supabase UI or push migration SQL via GitHub (export/sync) and run CI externally.
  • Preview safely: create Preview-only secrets or test accounts so AI-generated code can be exercised without using production keys.

 

Security & reliability

 

  • Server-side rules: keep sensitive computations and API keys off the frontend; use API routes that read Lovable Secrets.
  • Input validation & auth: always validate and authorize requests server-side (JWT/session checks).
  • Audit AI changes: treat generated code as drafts — review for SQL injection, data leaks, and incorrect assumptions.

 

// Example Next.js API route using Supabase on Lovable (reads secrets via process.env)

// /pages/api/transactions.js
import { createClient } from '@supabase/supabase-js'

// get secrets from Lovable Secrets UI (available as env vars at runtime)
const supabase = createClient(process.env.SUPABASE_URL, process.env.SUPABASE_SERVICE_ROLE)

export default async function handler(req, res) {
  // // validate method and auth token in headers
  if (req.method !== 'POST') return res.status(405).end()

  const { user_id, amount, date, description, category } = req.body

  // // basic server-side validation
  if (!user_id || !amount || !date) return res.status(400).json({ error: 'missing fields' })

  // // insert normalized transaction
  const { data, error } = await supabase
    .from('transactions')
    .insert([{ user_id, amount, date, description, category }])

  if (error) return res.status(500).json({ error: error.message })

  return res.status(201).json({ transaction: data[0] })
}

 

Quick checklist before Publish: run Preview with test secrets, review diffs, add unit tests, set RLS and secrets, export to GitHub for migrations/CI if needed.

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