debugging-difficult-bugs

Inject temporary JSONL logging into code to diagnose complex runtime bugs.

2.3k|331|Updated Jun 3, 2024
One-click install
npx skills add https://github.com/crbnos/carbon --skill debugging-difficult-bugs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugging-difficult-bugs
Source: https://github.com/crbnos/carbon/tree/main/.ai/skills/debugging-difficult-bugs
Command: npx skills add https://github.com/crbnos/carbon --skill debugging-difficult-bugs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables efficient debugging of bugs that are difficult to isolate by static analysis. It offers runtime logging and real-time observation of the code path, facilitating quicker resolution and reduced speculation.

Core Features & Use Cases

  • Real-time Logging: Inserts append-only JSONL logging directly into the code, allowing you to track runtime behavior.
  • Temporary Instrumentation: Enables logging that is activated without any environmental configuration, ensuring accurate reproduction.
  • Detailed Observation: Facilitates analysis of boundary conditions, state mutations, and async behavior to identify the root cause.
  • Use Case: When you suspect that a bug involves complex runtime scenarios such as state management or concurrency, use this Skill to observe and analyze the actual execution path and state.

Quick Start

Add temporary JSONL logging to your code. Reproduce the bug once, examine the generated log file for deviations from expectations, and apply the findings to your fix.

Frequently Asked Questions about debugging-difficult-bugs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug non-static bugs related to state management or concurrency?

Debug non-static bugs by injecting temporary JSONL logging directly into your code execution to observe runtime behavior. This allows you to track state mutations and async behavior, facilitating quicker resolution without relying on stack traces.

What's the best way to observe code execution paths for bugs that are hard to reproduce?

Observe elusive code execution paths by inserting append-only JSONL logging into your code. Reproduce the bug once manually or via UI, examine the generated log file for deviations, and apply the findings to your fix.

Can I use runtime logging for debugging without configuring my environment?

Yes, you can use temporary runtime logging without any environment configuration. The logging is activated directly within the code, generating log files in the process's working directory for immediate analysis.

How does runtime code observation work for identifying complex bugs?

Runtime code observation works by injecting temporary logging to facilitate detailed analysis of boundary conditions and state mutations. It tracks actual execution paths to identify root causes that static analysis cannot isolate.

Why does static analysis fail to isolate elusive bugs involving manual reproduction?

Static analysis fails to isolate elusive bugs involving manual reproduction because it cannot track complex runtime scenarios like state management or concurrency. Runtime logging is required to observe actual execution paths and state mutations.

When should I not use temporary code instrumentation for debugging?

You should not use temporary code instrumentation for debugging deterministic bugs that can be isolated by static analysis or stack traces. It is specifically designed for complex runtime scenarios requiring real-time observation of state and concurrency.