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The Developer's AI Toolbox – Expanded with Real-World Use Cases
Modern development is about speed, clarity, and reducing repetitive work. GitHub Copilot now offers three smart ways to collaborate with AI inside your IDE:
Edit Mode – Inline code rewriting and refactoring
Ask Mode – Conversational help and documentation
Action Mode – Context-aware automation and file-level operations
Let’s look at how these can be used together across real workflows, with a deeper focus on Action Mode’s potential.
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- Effortless Integration
- AI-Powered Assistance
Edit Mode: Improve What’s Already There
When to Use:
- Quick changes to existing code
- Language or style conversions
- Bug fixes or optimizations
Common Examples:
- “Convert this callback to a Promise”
- “Make this function pure”
- “Add JSDoc comments”
Ask Mode: Learn Without Leaving the IDE
When to Use:
- Understanding unfamiliar code
- Exploring best practices
- Generating code snippets
Common Prompts:
- “What is the best way to debounce in React?”
- “Why is this API call failing with 401?”
- “Show me a Python function to validate email addresses”
When to Use:
- Quick changes to existing code
- Language or style conversions
- Bug fixes or optimizations
Common Examples:
- “Convert this callback to a Promise”
- “Make this function pure”
- “Add JSDoc comments”
Ask Mode: Learn Without Leaving the IDE
When to Use:
- Understanding unfamiliar code
- Exploring best practices
- Generating code snippets
Common Prompts:
- “What is the best way to debounce in React?”
- “Why is this API call failing with 401?”
- “Show me a Python function to validate email addresses”
Action Mode: Automate Repetitive and Complex Dev Tasks
This is where GitHub Copilot really stretches its wings. It performs entire tasks — like setting up config files, writing tests, or fixing code — with deep awareness of your project context.
More Real-World Use Cases
Auto-Generate Storybook Stories
“Add Storybook stories for all components in /components/ui”
Copilot:
- Generates .stories.jsx or .mdx files
- Automatically handles props and examples
Internationalize a Component
“Update this page to use i18n translation hooks”
Copilot:
- Replaces hardcoded strings with translation keys
- Imports and uses your project’s i18n hook or context
Prepare Code for Open Source
“Generate a README and MIT license for this repo”
Copilot:
- Write a polished README.md with usage instructions
- Adds a LICENSE file based on common standards
Clean Up a Legacy Codebase
“Find and refactor all functions using var to use let/const”
Copilot:
- Traverses multiple files
- Applies consistent ES6+ syntax
- Preserves logic while modernizing style
Combining All Three Modes in Dev Workflows
Here are a few combined-mode scenarios that mimic how real developers work:
Workflow: Build a New Auth Feature
- Ask Mode:
“How do I build a login form with NextAuth.js?”
- Action Mode:
“Scaffold a login page with NextAuth.js and Tailwind”
- Edit Mode:
“Refactor login handler to separate concerns”
Result: You’re up and running with a full auth flow in 10 minutes — including UI, logic, and backend integration.
Workflow: Secure an Existing App
- Ask Mode:
“What are common Node.js security best practices?”
- Action Mode:
“Add Helmet and configure CSP headers”
- Edit Mode:
“Refactor middleware to include rate limiting”
What's Coming Next for Copilot?
The direction Copilot is heading suggests even more robust AI developer agents:
- Code-aware project planning
“Add JWT-based user roles and permissions” → Action Mode could generate routes, guards, and models. - End-to-end scaffolding
Full CRUD modules, dashboard UIs, and test coverage with one command. - Code reviews and PRs
AI that opens PRs with detailed descriptions, test coverage reports, and inline comments. - Terminal + CLI control
“Set up Docker for this project” → Copilot builds Dockerfile, .dockerignore, and docker-compose.yml.
Developer Takeaway
GitHub Copilot is no longer just autocomplete. It’s a collaborative AI that adapts to how you code. The key is learning when and how to use each mode:
Mode | Ideal For | Interaction Type |
Edit | Refactors, rewrites | Highlight + Command |
Ask | Guidance, docs, logic | Prompt-only |
Action | Automate, scaffold, fix | Full-task execution |
Pro Tip: Use all three modes in tandem. Ask → Edit → Act = maximum efficiency.
Conslusion:
In a world where speed and clarity are king, Copilot’s Action Mode is your silent productivity engine. It’s your setup script writer, test generator, and context-aware problem solver — always ready, never tired.
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WRITTEN BY Shyla J
Shyla is an MCT and works on cloud platforms like AWS and Azure. She is certified as an Azure Administrator and works on DevOps tools like Ansible, and Terraform, to create and deploy highly available infrastructure on AWS and Azure.
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