AI for coding

Think through code with GabbyAI.

Use GabbyAI to explore programming ideas, explain code, debug problems, plan implementations and work through technical challenges in a natural conversation.

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GabbyAI Coding assistant
Ready

My API endpoint is returning a 500 error. Can you help me debug it?

GabbyAI

Yes. Send me the endpoint code, the error output and any relevant logs. We can trace the failure step by step.

I also want to understand why it failed.

GabbyAI

Absolutely. I can explain the likely cause as we work through the fix so the solution makes sense rather than just replacing code.

Message GabbyAI
A technical thinking partner

Code is easier to work through when you can discuss it.

Software development is rarely just about typing code. You also need to understand requirements, make architectural decisions, investigate failures and choose between different approaches.

GabbyAI gives you a conversational workspace for that process. You can provide code, describe a problem, ask why something behaves a certain way and continue developing the solution with follow-up questions.

Whether you are learning a language or maintaining a larger system, the conversation can move between explanation, planning and implementation.

What GabbyAI can help with

Support across the development process.

Use GabbyAI for more than generating snippets. Work through the reasoning around your software too.

01

Generate code

Describe what you want to build and use GabbyAI to create code or a starting implementation.

02

Explain code

Provide unfamiliar code and ask what it does, how the pieces interact and why a particular approach may have been used.

03

Debug problems

Examine error messages, logs and unexpected behaviour to identify possible causes and debugging steps.

04

Plan architecture

Discuss APIs, services, data flows, components and trade-offs before committing to an implementation.

05

Refactor code

Explore ways to simplify, restructure or improve existing code while preserving the behaviour you need.

06

Learn concepts

Ask for explanations of programming concepts, frameworks, patterns, protocols and development tools.

Work through the problem

Development is iterative. Your AI conversation can be too.

Start with the problem you have now and add more detail as the investigation develops.

Diagnose

Examine what went wrong

Share relevant errors, logs and code, then discuss likely causes rather than guessing blindly.

Understand

Learn why the code behaves that way

Ask for an explanation of control flow, dependencies, data handling or unfamiliar syntax.

Design

Explore implementation options

Compare different approaches and discuss the practical trade-offs before you start building.

Build

Turn requirements into code

Break a larger task into smaller components and develop an implementation step by step.

Review

Examine an existing implementation

Discuss readability, structure, edge cases and areas that may need additional testing.

Document

Explain technical work clearly

Create starting points for documentation, implementation notes and explanations of how a system works.

Context matters

Give GabbyAI the information behind the problem.

A useful technical answer depends on context. Programming language, framework, dependencies, expected behaviour and error output can all change the correct approach.

Instead of asking an isolated question, you can continue adding details as the conversation develops.

That makes GabbyAI useful for working through the problem rather than simply requesting a one-off code snippet.

A coding conversation
Start with The problem
Add Code, logs and context
Develop The solution together
Review before you deploy

AI can assist with code. It cannot replace testing.

AI-generated code can contain bugs, incorrect assumptions, security issues or behaviour that does not match your application.

Treat generated code as something to review, understand and test before it is introduced into a production environment.

01
Review generated code

Read and understand what the code does before relying on it.

02
Test expected behaviour

Validate normal cases, errors and important edge cases.

03
Check security assumptions

Review authentication, permissions, validation and handling of sensitive information.

Useful across technical work

From learning code to maintaining real systems.

Developers

Work through implementation problems.

Discuss architecture, debugging, APIs, databases, code structure and software design decisions.

GabbyAI for developers →
Students

Learn programming concepts.

Ask questions, explore examples and request explanations when a technical concept is difficult to understand.

GabbyAI for students →
Technical teams

Explore ideas before implementation.

Use conversation to think through requirements, system boundaries and possible technical approaches.

Builders

Turn ideas into working software.

Break a project into manageable technical tasks and work through each stage in more detail.

A simple workflow

Bring the problem. Add context. Keep iterating.

1

Explain what you are building

Describe the task, language, framework and what you expect the software to do.

2

Add technical context

Provide code, logs, errors or relevant details so the conversation can focus on the actual problem.

3

Test and refine

Review suggested changes, test them in your own environment and continue the conversation where needed.

Beyond coding

Use GabbyAI for the work around the code too.

Move from implementation into documentation, planning, technical explanations and other written work without changing assistants.

Explore AI writing
Frequently asked questions

Using GabbyAI for coding.

Can GabbyAI help with coding?

Yes. GabbyAI can help explain programming concepts, generate code, examine existing code and work through technical problems conversationally.

Can GabbyAI help debug code?

GabbyAI can help examine errors, reason through likely causes and suggest debugging steps when you provide relevant code, logs or context.

Can GabbyAI explain existing code?

Yes. You can provide code and ask GabbyAI to explain what it does, describe individual sections or discuss possible improvements.

Can GabbyAI generate complete applications?

GabbyAI can help develop individual components, structures and implementation ideas, but larger applications still require engineering decisions, integration, testing and review.

Can GabbyAI help with software architecture?

Yes. You can discuss APIs, services, databases, infrastructure, application structure and possible technical trade-offs.

Should AI-generated code be reviewed?

Yes. AI-generated code can contain errors, security issues or incorrect assumptions and should be reviewed, tested and validated before production use.

Is GabbyAI useful for learning programming?

GabbyAI can help explain programming concepts, walk through examples and answer follow-up questions while you learn.

Start building

Bring your next coding problem to GabbyAI.

Create an account and start working through code, debugging and technical ideas in conversation.