Suggestion: Significantly improve the AI's ability to interpret and act on explicit error messages and detailed debugging instructions.

Reasoning: If a human can be told "function X is undefined in line Y of file Z, and here's how to fix it," the AI should be able to process this and apply the fix. Its failure to do so, even with precise input, indicates a major weakness in its current debugging capabilities.

Specific Features:

Error Message Parsing: Deeper understanding and immediate action on common error types (e.g., "undefined function/variable," "syntax errors").

Contextual Debugging: When an error occurs, the AI should automatically analyze the surrounding code and definitions to identify the root cause, rather than making irrelevant changes.

Iterative Refinement: If a fix doesn't work, the AI should be able to learn from the new error and try alternative solutions, rather than getting stuck or making the situation worse.

"Explain Error" and "Suggest Fix" Modes: Clear options for the AI to first explain an error in plain language, and then propose a specific, actionable fix.