You’ve installed Graphify. You’ve generated your first project graph.

Now what?

This is the question many developers ask after trying Graphify for the first time.

The biggest mistake beginners make is treating Graphify like a code generator. It isn’t.

Graphify works best when you ask architectural and repository-level questions that would normally require an AI assistant to inspect dozens of files.

In this guide, we’ll look at 10 practical prompts you can use with Cursor, Claude Code, and Codex to better understand, debug, and improve your codebase.

Let’s jump in.

If you are new to Graphify, Read about Graphify Tutorial

Prompt 1: Trace an Entire Feature

Imagine you’ve joined a new project.

Your manager says:

“The login feature is broken.”

Where do you start?

Instead of manually searching through files, ask:

Using Graphify,

Trace the complete login workflow from
API request to database update.

Graphify helps the AI identify:

• API endpoint
• Authentication service
• JWT generation
• User validation
• Database operations

This is an excellent onboarding prompt.

Use cases:

✅ Authentication

✅ Registration

✅ Checkout

✅ Password reset

Prompt 2: Find What Will Break

Every developer has asked this question:

What happens if I change this file?

Try:

Using Graphify,

If I modify UserService,
which components could be affected?

The AI can identify:

• APIs
• Background jobs
• Database operations
• Event handlers
• Notification systems

This prompt is extremely useful before refactoring.

Prompt 3: Find Hidden Dependencies

Large projects often have unexpected relationships.

Ask:

Using Graphify,

Show all modules that depend
on PaymentService.

This can reveal:

• Forgotten integrations
• Legacy code
• Shared utilities
• Background workers

It’s a great way to understand coupling.

Prompt 4: Debug Production Issues

Suppose users report:

Orders are created twice.

Instead of randomly searching:

Ask:

Using Graphify,

Trace the order creation workflow
and identify possible causes
of duplicate order generation.

The AI can inspect:

• API retries
• Queue workers
• Event handlers
• Database transactions
• Payment callbacks

This approach is often faster than manually navigating the repository.

Prompt 5: Understand an API

Suppose someone asks:

How does checkout work?

Use:

Using Graphify,

Trace the checkout API
from request to response.

The AI can map:

Request

↓

Authentication

↓

Validation

↓

Inventory

↓

Payment

↓

Database

↓

Notification

Perfect for new developers joining a project.

Prompt 6: Find Dead Code

Every mature repository contains code nobody remembers.

Try:

Using Graphify,

Identify services,
modules, or utilities
that appear unused.

Potential findings:

• Old APIs
• Legacy utilities
• Duplicate implementations
• Deprecated services

Always verify before deleting anything, but this is a great cleanup prompt.

Prompt 7: Find Performance Bottlenecks

Performance issues often hide across multiple modules.

Ask:

Using Graphify,

Trace the report generation workflow
and identify potential
performance bottlenecks.

The AI may discover:

• Multiple database queries
• Repeated API calls
• Large loops
• Unnecessary computations
• Duplicate processing

This works well for analytics systems and data pipelines.

Prompt 8: Understand Database Usage

Suppose you’re migrating databases.

Ask:

Using Graphify,

Show all components
interacting with PostgreSQL.

Or:

Which services write
to the Users table?

This is particularly useful during migrations and schema changes.

Prompt 9: Prepare for Refactoring

Large refactoring projects can feel risky.

Ask:

Using Graphify,

Identify tightly coupled modules
that could benefit
from refactoring.

The AI may identify:

• Circular dependencies
• Large services
• Shared state
• Duplicate logic
• Violations of separation of concerns

This prompt is excellent for improving architecture over time.

Prompt 10: Generate an Architecture Summary

This is one of my favourite prompts.

Suppose you’ve inherited a repository.

Ask:

Using Graphify,

Provide a high-level architecture
summary of this application.

Include:

Core modules

Major workflows

External integrations

Database interactions

Key dependencies.

Instead of reading dozens of files, you get a practical overview of the project.

It’s one of the fastest ways to become productive in a new codebase.

Bonus Prompt: Before Every Pull Request

This is a habit worth developing.

Before submitting changes, ask:

Using Graphify,

Review my changes and identify
components that may have
unexpected side effects.

Sometimes the AI identifies dependencies you forgot existed.

Tips for Better Graphify Prompts

After experimenting with Graphify, a few patterns become clear.

Be specific.

Good:

Trace checkout flow.

Bad:

Explain my project.

Focus on workflows.

Instead of asking about files, ask about business processes.

Examples:

• Login
• Registration
• Payment
• Invoice generation
• Shipment tracking
• Report creation

Think in terms of impact.

Questions like:

What depends on this?

are often more useful than:

What does this file do?

Real Development Workflow

Here’s how many developers could use Graphify during a normal day.

Morning:

Using Graphify,

Summarize yesterday's
authentication changes.

Before implementing a feature:

Trace user registration.

Before refactoring:

What depends on UserService?

During debugging:

Trace invoice generation.

Before deployment:

Identify modules affected
by payment changes.

This workflow helps AI assistants stay focused on the parts of the repository that matter.

Do These Prompts Work in Cursor, Claude Code, and Codex?

Yes.

The exact responses will vary depending on the AI assistant, but the underlying idea remains the same.

Graphify provides project structure.

Your AI assistant provides reasoning and code generation.

Together, they make navigating medium and large repositories significantly easier.

Final Thoughts

Graphify isn’t about replacing your AI coding assistant.

It’s about helping your assistant understand your project more efficiently.

The prompts in this article focus on real developer tasks:

✅ Understanding features

✅ Debugging bugs

✅ Refactoring safely

✅ Finding dependencies

✅ Exploring APIs

✅ Cleaning up legacy code

✅ Improving architecture

If you’re just getting started with Graphify, try these prompts on your own projects. You’ll quickly discover that asking the right questions is often more valuable than simply asking AI to “explain the code.”

And if you haven’t already, check out our beginner Graphify tutorial to learn how to install Graphify and generate your first project knowledge graph before putting these prompts to work.