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CodeTutor Socratic AI

CodeTutor Socratic AI

KevinMadderom

|
3 installs
| (0) | Free
AI Tutor for debugging and conceptual learning.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

CodeTutor is an interactive development mentor built directly into the Visual Studio Code sidebar workspace. Designed to foster deep algorithmic thinking and logic retention, CodeTutor guides developers through complex programming bottlenecks using Socratic dialogue and active recall mechanics.

The CodeTutor Rule: This extension operates strictly as a teaching tool. It is intentionally restricted from writing code snippets, autofilling files, or providing direct solutions. Instead, it mirrors logic gaps back to the user to promote independent debugging, refactoring, and comprehensive code ownership.

How to Use CodeTutor CodeTutor integrates directly with an active coding workspace. Follow these exact steps to feed your code into the tutor and begin a guided learning session:

Step 1: Highlight the Code or Error Open the file you are working on and highlight the specific block of code, logical bottleneck, or runtime error message directly within your editor window.

Step 2: Trigger the CodeTutor Engine With the text still highlighted, you must manually invoke the extension to capture the selection. You can do this using the following method:

Press Ctrl + Shift + P (or Cmd + Shift + P on macOS), type CodeTutor: Get Hint, and press Enter.

Step 3: Follow the Socratic Prompts and Links Once triggered, CodeTutor analyzes the snapshot of your highlighted text.

The sidebar panel will open next to your active editor, displaying targeted, guiding questions alongside hyperlinks to authoritative external source materials. Use these references to study the underlying computer science concepts deeply.

Step 4: Utilize Follow-Up Questions Engage in iterative dialogue by responding to the prompt sequence or asking clarifying questions directly in the chat panel. This step-by-step reasoning process helps isolate syntax errors, resolve logical boundary conditions, and guide the project toward a clean execution state.

Core Learning Mechanics Explicit Selection Capture: Evaluates precise code snapshots only when deliberately invoked by the user, ensuring total control over what context is sent to the Socratic engine.

Socratic Prompt Architecture: Replaces generic code-generation blocks with conceptual questions that prompt developers to mentally trace data streams and conditional states.

External Documentation Linkage: Bridges the gap between localized debugging and structural engineering principles by linking directly to technical reference materials.

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