Coding with AI as partner : Get more efficient using GPT

Introduction

Software development is evolving rapidly, and AI coding tools like GPT are becoming indispensable. This isn’t just a new gadget for developers; it’s like having an extra pair of hands—ones that can quickly draft code, suggest solutions, and even help troubleshoot issues. Embracing this technology means unlocking productivity and efficiency that weren’t possible before.

Getting in the Right Mindset

Think of GPT as a Partner

Imagine starting a new project. You have an assistant who knows all programming languages, can churn out code at lightning speed, and never gets tired. However, this assistant relies on you to set goals, provide context, and make key decisions. That’s GPT in a nutshell. It’s a powerful tool, but your expertise drives the outcomes.

Focus on High-Level Decisions

Let GPT handle implementation details so you can focus on:

• Choosing between WebSocket and REST APIs for real-time communication.

• Structuring backend services for scalability.

• Defining reusable components in Vue.js for the frontend.

• Ensuring the solution aligns with business requirements and user needs.

GPT can execute tasks, but it’s your guidance that ensures everything works seamlessly.

Starting Strong with GPT

Context is Key

Start by clearly explaining your project’s goals and requirements. For instance:

"We’re building an e-commerce platform. Here are the details:

• Frontend uses Vue.js.

• Backend is a Node.js API with PostgreSQL.

• The cart functionality needs to support persistent sessions and guest users.

Let’s begin with the user authentication system. I’ll show you the existing setup."

Define Your Environment

Provide GPT with the necessary context for your project:

"Here’s our setup:

1. Tests are run with npm test.

2. Code quality is enforced with ESLint and Prettier.

3. API endpoints follow the pattern: /api/[resource]/[action].

4. Docker is used for local database management."

Tackling Projects with GPT

Divide tasks into manageable steps for better collaboration:

Define a Clear Scope

Avoid vague requests like:

"Build a cart feature."

Instead, provide specifics:

"We need a shopping cart feature with these requirements:

• Items are stored in the database.

• Support guest and authenticated users.

• Include a REST API for adding/removing items.

Let’s start by designing the database schema and basic API endpoints."

Guide GPT Through the Codebase

Help GPT understand your existing codebase and patterns:

"Check these files first:

• models/Cart.js for the existing schema.

• routes/cart.js for API structure.

• utils/session.js for session handling logic.

Follow the conventions used in Cart.js for validation."

Plan the Implementation

Work with GPT to outline a detailed implementation plan. Here’s an example:

# Shopping Cart Feature

## Phase 1: Backend Setup
- [ ] Define cart schema in PostgreSQL.
- [ ] Create API endpoints for CRUD operations.
- [ ] Implement validation for cart operations.
- [ ] Write unit tests for the API.

## Phase 2: Frontend Integration
- [ ] Build the cart UI in Vue.js.
- [ ] Connect the UI to the backend API.
- [ ] Add features like item quantity updates.
- [ ] Implement error handling and user feedback.

## Phase 3: Session Management
- [ ] Support persistent carts for authenticated users.
- [ ] Implement guest cart functionality.
- [ ] Add session cleanup jobs.
- [ ] Write integration tests for session handling.

Workflow Tips

Maximize productivity by adopting a structured approach:

Take Small Steps

Focus on one task at a time:

"Let’s define the cart schema in PostgreSQL first. Can you draft it based on our existing database patterns?"

Validate as You Go

Test every piece of work before moving forward:

"Run the unit tests for this API endpoint. If there’s an issue, we’ll debug it together."

Debug Collaboratively

Work with GPT to resolve issues effectively:

"The API isn’t returning the expected data. Let’s add logs to the database query and inspect the response."

Beyond Coding: Automation with GPT

GPT can also streamline tasks beyond writing code:

Simplify Git Operations

Use GPT to handle version control tasks:

"Can you:

1. Stage all the changes?

2. Write a commit message?

3. Push to the feature/shopping-cart branch?"

Automate Environment Setup

Offload setup tasks to GPT:

"Set up a new project with:

• Node.js and TypeScript.

• Docker for PostgreSQL.

• ESLint and Prettier configurations."

Documentation Assistance

Leverage GPT for creating documentation:

"Draft a README file with:

• Instructions for local setup.

• API documentation.

• Deployment steps."

Conclusion

Using GPT as a coding partner doesn’t replace your skills—it amplifies them. By offloading repetitive tasks and leveraging GPT’s speed, you can focus on solving complex problems, refining your designs, and delivering exceptional software. Whether you’re prototyping, debugging, or automating workflows, GPT can help you work smarter and faster.

Why not let GPT handle the grunt work while you focus on innovation and creativity?