What kind of feature is this?
New CLI flag or option
What problem does this solve?
Debugging with AI tools currently requires a large amount of manual context preparation.
When a runtime, build, or compilation error appears, developers usually need to:
- clean noisy terminal output
- identify the relevant files
- manually copy stack traces
- select related source files
- create a reproducible prompt for ChatGPT/Claude
This process is repetitive and time-consuming, especially during rapid iteration.
Example workflow today:
Terminal output:
TypeError: Cannot read properties of undefined
at LoginForm.tsx:42
The developer must then manually:
- inspect stack traces
- determine related files
- package context
- explain the issue to an AI assistant
This creates unnecessary friction in AI-assisted debugging workflows and often results in:
- incomplete debugging context
- oversized uploads
- noisy prompts
- repeated AI retries
- poor reproduction quality
Proposed solution
Introduce a background terminal watcher mode that automatically detects errors, extracts useful debugging information, and generates an AI-ready debug context package.
Example usage:
Proposed workflow:
-
Watch terminal/process output in real time
-
Detect runtime/build/test errors
-
Clean and reduce noisy logs by:
- removing repeated stack frames
- filtering framework noise
- collapsing irrelevant output
-
Identify likely relevant files using:
- stack traces
- filenames
- import relationships
- framework-aware heuristics
-
Automatically generate either:
- a compact prompt.txt for small issues
- or a debug-context.zip for larger issues
Example generated structure:
debug-context/
├── prompt.txt
├── terminal-error.txt
├── relevant-files/
├── reproduction.txt
└── metadata.json
The goal is to reduce the manual effort required to transform raw terminal failures into high-quality AI debugging context.
If this is a new framework — what should be excluded?
No response
What kind of feature is this?
New CLI flag or option
What problem does this solve?
Debugging with AI tools currently requires a large amount of manual context preparation.
When a runtime, build, or compilation error appears, developers usually need to:
This process is repetitive and time-consuming, especially during rapid iteration.
Example workflow today:
Terminal output:
The developer must then manually:
This creates unnecessary friction in AI-assisted debugging workflows and often results in:
Proposed solution
Introduce a background terminal watcher mode that automatically detects errors, extracts useful debugging information, and generates an AI-ready debug context package.
Example usage:
Proposed workflow:
Watch terminal/process output in real time
Detect runtime/build/test errors
Clean and reduce noisy logs by:
Identify likely relevant files using:
Automatically generate either:
Example generated structure:
The goal is to reduce the manual effort required to transform raw terminal failures into high-quality AI debugging context.
If this is a new framework — what should be excluded?
No response