React debugging
Working through component behavior, state, props, rendering, effects, and UI errors with a conversational guide.
Independent tool overview
Code Mentor at a glance
Code Mentor is a custom GPT by Adam Sardo that presents itself as an expert React and TypeScript developer, teacher, and debugging guide. Its public prompts encourage users to describe the bug, project structure, attempted fixes, and expected versus actual behavior.
Visit the official Code Mentor site ↗
- Format
- Third-party custom GPT
- Builder
- Adam Sardo
- Focus
- React and TypeScript debugging
- Price
- Usable on ChatGPT Free, limits apply
Overview
What Code Mentor is
Code Mentor runs inside ChatGPT and is designed for conversational debugging rather than direct repository automation. Its public listing focuses on React and TypeScript, so it is best approached as a guided second set of eyes for explaining errors, narrowing causes, and learning why a fix works.
The GPT's starter questions follow a sound diagnostic sequence: state the issue, explain the project structure, list what has already been tried, and compare expected behavior with what actually happens. Users will get better help by adding a minimal reproduction, exact error text, relevant versions, and the smallest necessary code sample.
Code Mentor can suggest code that looks plausible but is incorrect, outdated, insecure, or incompatible with the real project. Treat every response as a hypothesis, run tests and static checks, inspect diffs, and never paste secrets or proprietary code that the account is not authorized to share.
Use cases
Who Code Mentor is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
TypeScript errors
Explaining type mismatches, generics, narrowing, interfaces, inference, and compiler messages in context.
Learning while fixing
Developers who want the reasoning behind a proposed change instead of only a replacement code block.
Minimal reproductions
Turning a large bug report into a smaller example, explicit hypothesis, and repeatable test before changing production code.
Capabilities
Core Code Mentor features
React and TypeScript focus
The public description explicitly positions the GPT as a developer and teacher for these technologies.
Issue discovery prompt
One published starter asks the user to describe the problem they are facing before proposing a fix.
Project-structure prompt
A starter asks about the project's organization so advice can account for component, module, and build context.
Prior-attempt prompt
The GPT asks what the user already tried, which helps avoid repeating failed steps and exposes useful evidence.
Expected-versus-actual prompt
A published starter explicitly separates intended behavior from observed behavior, a core debugging technique.
Conversational follow-up
Users can ask for explanations, alternative hypotheses, smaller examples, test cases, or a step-by-step walkthrough.
Code and file input
ChatGPT supports pasted code and plan-dependent uploads, although users should minimize sensitive or unnecessary project data.
Current-model handling
OpenAI can switch existing GPTs to similar current models when earlier ChatGPT models are retired.
Process
How the Code Mentor workflow works
Step 1
Reproduce the issue
Record the exact steps, environment, versions, inputs, error output, expected result, and actual result.
Step 2
Reduce the example
Remove unrelated code until the failure remains in the smallest component, type, test, or sandbox that demonstrates it.
Step 3
Share safe context
Provide only relevant code and sanitized logs; remove credentials, customer data, internal URLs, and proprietary material.
Step 4
Ask for hypotheses
Request several possible causes ranked by evidence and ask what observation would confirm or reject each one.
Step 5
Apply the smallest change
Make one reviewable fix at a time and inspect the exact diff instead of accepting broad rewrites.
Step 6
Verify and learn
Run tests, type checking, linting, builds, security checks, and the original reproduction, then ask for an explanation of the confirmed cause.
Cost
Code Mentor pricing and free plan
Code Mentor does not list a separate purchase price. Existing GPTs are available to signed-in ChatGPT users, including Free accounts, subject to the user's current GPT and tool limits. A paid ChatGPT plan is optional for expanded access.
Use in ChatGPT
Free access available
Open the public GPT after signing in; ChatGPT account limits apply.
- No separate Code Mentor fee shown
- Free account supported
- Uploads and other tools have separate limits
- Paid plans provide expanded access
Pricing checked . Check current pricing at the source ↗
Assessment
Code Mentor strengths and limitations
Where it stands out
- Clear specialization in React, TypeScript, teaching, and debugging
- Published starters encourage evidence before fixes
- Useful conversational format for follow-up questions and explanations
- Low-friction access through an existing ChatGPT account
- Can help users structure a reproducible bug report
What to consider
- The public page does not disclose the GPT's full instructions, knowledge sources, tests, or maintenance process.
- It cannot automatically see the complete repository, runtime state, browser console, network trace, or deployment unless the user supplies evidence.
- Generated packages, APIs, syntax, and configuration can be outdated or fabricated.
- Suggested code can introduce regressions, security problems, performance issues, or type-safety gaps.
- It is not a substitute for running the project, reading the pinned framework documentation, and reviewing the final diff.
Compare
Code Mentor alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
ChatGPT
Regular ChatGPT can follow the same debugging workflow without the custom GPT's React and TypeScript framing.
Explore ChatGPT →Coding
Claude Code
Claude Code is a stronger option when the assistant needs direct repository context, terminal access, edits, and test execution.
Explore Claude Code →Coding
Cursor
Cursor integrates AI assistance into an editor for developers who want inline code context and changes inside the working project.
Explore Cursor →Questions
Code Mentor FAQs
What is Code Mentor?
Code Mentor is a custom GPT by Adam Sardo that describes itself as an expert React and TypeScript developer, teacher, and debugging guide.
Is Code Mentor free?
The GPT shows no separate price. It can be used by signed-in ChatGPT Free users subject to current plan limits; paid ChatGPT plans can expand access.
What should I include in a debugging prompt?
Include the expected and actual behavior, exact error, reproducible steps, relevant versions, project structure, prior attempts, and a minimal sanitized code sample.
Can Code Mentor fix my repository automatically?
The public GPT is a ChatGPT conversation, not a repository agent. It only has the context and tools available in the chat and cannot be assumed to inspect or modify a full project.
Is generated code safe to use?
Not automatically. Review every change and run the relevant tests, type checks, linting, build, security checks, and original reproduction before accepting it.
Bottom line
Our Code Mentor verdict
Code Mentor has a sensible niche and unusually useful public prompt starters for a custom GPT. It is a good teaching and hypothesis-generation aid for React and TypeScript bugs. Developers will get the most value when they bring a reproducible case and validate the resulting fix in the real project rather than treating the chat response as proof.
Visit Code Mentor website ↗
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