Fintech
Binding seamless Technology with Finance
General Published on: Tue Jul 29 2025
In today’s fast-paced software development landscape, achieving speed, accuracy, and efficiency is crucial. Developers frequently juggle between tools, documentation, and complex debugging tasks. This is where Cursor AI emerges as a game-changing solution.
If you’ve ever imagined a world where you can interact with your codebase, ask questions, and receive context-aware answers instantly—Cursor AI makes that a reality.
Cursor AI is a cutting-edge code editor built on Visual Studio Code, enhanced with artificial intelligence capabilities. It goes far beyond basic autocomplete. Cursor deeply understands your entire codebase, allowing you to chat with your code, intelligently refactor, and debug across files using natural language.
It’s like having a highly experienced developer working beside you 24/7.
With simple comments like // generate a function to validate email, Cursor can generate clean, production-ready code instantly—no more endless searching for code snippets online.
Cursor allows you to ask questions about your codebase in plain English. Whether it’s legacy code or complex logic, it delivers understandable, relevant answers instantly.
Unlike other tools that focus on single files, Cursor can refactor code across your entire project, updating all related references automatically.
Cursor identifies bugs and offers intelligent suggestions or auto-fixes, helping developers resolve issues faster and with greater accuracy.
Cursor integrates with Git to understand commit histories and generate context-aware commit messages, offering a seamless development workflow.
Cursor AI is perfect for:
Cursor AI represents a shift in how software is built—focusing on collaboration between humans and AI. It allows developers to concentrate on logic and innovation while automating repetitive and complex coding tasks.
Context:
You’re working on an e-commerce app and your function calculateTotal(cartItems)
is returning incorrect values when there are multiple items.
How to Use Cursor AI:
Open the file containing the function.
Highlight the entire function.
Right-click or open the AI command palette.
Type: “Fix the logic bug in this function.”
Expected Outcome:
Cursor AI analyzes the function, identifies miscalculations (such as incorrect loop logic or misused array methods), and rewrites the code to accurately compute the total.
Context:
Your team is upgrading a legacy project. Many parts of the codebase still use verbose loops and outdated syntax.
How to Use Cursor AI:
Locate a long for
loop that builds a list.
Highlight the code.
Use the AI Edit tool and enter: “Refactor this using list comprehension.”
Expected Outcome:
Cursor will replace the loop with a more concise list comprehension, making the code cleaner and easier to maintain, without changing the logic.
Context:
You need to add a /register
route to an Express.js backend to handle new user sign-ups.
How to Use Cursor AI:
Create a new file or open an existing Express route file.
In the AI chat panel, type:
“Create an Express.js POST endpoint for user registration with email and password validation.”
Expected Outcome:
Cursor generates the complete route code:
Includes the POST
method
Validates email and password format
Sends appropriate success or error responses
Can include middleware if needed
Context:
You’re reviewing a function written by a senior engineer. It spans 30+ lines and includes multiple nested conditionals and helper functions.
How to Use Cursor AI:
Highlight the function in your code.
In the AI chat or edit prompt, type: “Explain this function step by step.”
Expected Outcome:
Cursor generates a detailed explanation:
Describes the function's purpose
Breaks down logic line by line
Highlights dependencies and outcomes
This helps new team members or junior developers grasp complex logic faster.
Context:
You wrote a utility function sanitize_input(text)
that needs to be tested before production deployment.
How to Use Cursor AI:
Highlight the sanitize_input
function.
Enter the command: “Generate PyTest unit tests for this function, including edge cases.”
Expected Outcome:
Cursor creates a new test file or code block with:
Multiple test cases (valid and invalid inputs)
Expected outputs using assert
statements
Test setup and teardown if necessary
Context:
Your dashboard is taking too long to load, and the cause is traced to a raw SQL query pulling data from multiple joined tables.
How to Use Cursor AI:
Copy and paste the SQL query into a .sql
or .js
file (depending on usage).
Highlight the query.
Prompt Cursor: “Optimize this query for faster execution.”
Expected Outcome:
Cursor analyzes the query and:
Suggests adding indexes
Simplifies joins or uses subqueries
Applies pagination or limits if needed
It may also suggest using query builders like Knex.js or Sequelize if appropriate.
Context:
You’re building a user registration form in React with fields for name, email, and password.
How to Use Cursor AI:
In your component file, prompt the AI with:
“Add form validation logic for name, email, and password using React useState.”
Expected Outcome:
Cursor adds:
Controlled input handling using useState
Validation functions with regex (e.g., email format)
Inline error messages displayed conditionally
Optional improvements using third-party libraries like Formik or Yup
Context:
You’ve completed a critical function that performs several steps, but it lacks proper documentation.
How to Use Cursor AI:
Highlight the function or class.
Ask Cursor: “Add a descriptive docstring and inline comments to explain this function.”
Expected Outcome:
Cursor writes:
A clear Python-style docstring explaining the function’s inputs, outputs, and behavior
Inline comments above key logic blocks
Comments that match your team’s style guide
This improves team collaboration and code readability.
Context:
You have a client-side JavaScript snippet that you now need to implement in your backend Python service.
How to Use Cursor AI:
Paste the JavaScript code into a temporary file.
Prompt: “Convert this JavaScript code to equivalent Python code.”
Expected Outcome:
Cursor converts:
Syntax and data structures (e.g., arrays to lists, objects to dictionaries)
Logical flow and control statements
Input/output format and function structure
This saves time and ensures logical accuracy across languages.
Context:
You know your app sends email alerts, but you can’t remember where the logic is written in your codebase.
How to Use Cursor AI:
Open Cursor’s AI-powered search.
Type: “Find the function that sends email notifications to users.”
Expected Outcome:
Cursor scans the entire codebase, and returns:
Functions like sendEmail()
, notifyUser()
, or triggerAlertEmail()
Related files and methods even if the function names don’t match exactly
Explanations or summaries of each result so you can quickly decide which is relevant
Objective: Build a simple full-stack To-Do List Web App using React (frontend) and Node.js + Express (backend) with MongoDB (database). You’ll see how Cursor AI assists at each step — from scaffolding and coding to debugging and documentation.
Before using Cursor AI effectively:
Install Cursor IDE from https://www.cursor.so
Install Node.js and npm (v16+)
Install MongoDB (local or cloud via MongoDB Atlas)
Basic knowledge of JavaScript/React/Node
Open Cursor IDE.
Create a new folder:todo-app
From the Cursor command palette, type:
“Create a full-stack web app using React and Express for a To-Do List app.”
Sets up a backend with Express
Sets up a React frontend with Create React App or Vite
Adds concurrently
and nodemon
for dev
Configures folder structure:
“Create an Express server with routes to add, delete, update, and fetch tasks from MongoDB.”
server.js
or index.js
file:
Cursor also creates a models/Task.js
Mongoose schema:
“Create a React UI to display tasks from /api/tasks
and allow users to add, mark complete, edit, and delete tasks.”
Generates App.js
with stateful logic:
Auto-generates a functional interface
Adds axios
to package.json
Automatically wires proxy from React to Express (proxy: http://localhost:5000
)
Open the integrated terminal in Cursor AI.
Run both servers with:
Visit http://localhost:3000
to see the frontend, and http://localhost:5000/api/tasks
to see API JSON response.
“Why is my task not being saved to the database?”
Cursor may check:
MongoDB connection
Missing fields in the schema
Server error logs
It then suggests:
Fixes to connection URI
Proper error handling with try/catch
Validation schema fixes
Ask:
“Add basic JWT authentication to this web app with login and registration.”
Cursor will:
Create authRoutes.js
Add bcryptjs
and jsonwebtoken
Create /register
and /login
endpoints
Return and validate JWT tokens in React
Ask:
“Refactor App.js for better code structure”
“Add responsive CSS styles”
“Create reusable Task component”
Cursor AI will:
Break code into components
Suggest CSS module or Tailwind
Auto-format code for consistency
You now have a working:
React Frontend
Node.js + Express Backend
MongoDB Database
With AI-assisted code creation, testing, debugging, and deployment.
Ask Cursor: “Add deployment script for Render or Vercel”
Request: “Write README.md for this app”
Add tests: “Generate unit tests using Jest and Supertest”
At Hexaview Technologies, we specialize in delivering end-to-end Cursor AI development services. Our offerings include:
We empower businesses to seamlessly adopt Cursor AI and transform their software development lifecycle.
Cursor AI is not just a development tool—it’s a catalyst for productivity and innovation. It redefines how developers interact with code, enabling faster delivery, better quality, and improved understanding.
If you’re ready to experience the benefits of AI-driven development, Hexaview Technologies is here to help.
Let’s innovate together.
Reach out to our experts today and discover how Cursor AI can elevate your next software project.
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