debugging

Reproduce software defects and trace correlation IDs across microservice logs.

1|Updated Jul 20, 2026

Search Tags:#testing #debugging #troubleshooting #observability #tracing #root-cause

Ready to run

npx skills add https://github.com/pessinamistic/pitwall --skill debugging-pessinamistic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debugging
Source: https://github.com/pessinamistic/pitwall/tree/main/.claude/skills/debugging
Command: npx skills add https://github.com/pessinamistic/pitwall --skill debugging-pessinamistic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a rigorous, evidence-based framework for investigating software failures, preventing guesswork and ensuring that fixes address the actual root cause rather than symptoms.

Core Features & Use Cases

Evidence-First Diagnosis: Enforces reproduction of issues via tests before any code changes are made.
Distributed Tracing: Guides the use of correlation IDs to trace requests across service boundaries and log aggregators.
Operational Safety: Provides safe patterns for capturing thread and heap dumps from production environments to diagnose deadlocks or memory issues.

Quick Start

Use the debugging skill to investigate the failing test case by first reproducing the error locally and then tracing the correlation ID through the logs.

Frequently Asked Questions about debugging

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

FAQPage Schema

How do I perform root-cause analysis for complex bugs across microservice architectures?▼

Root-cause analysis for complex bugs requires systematic reproduction, distributed tracing with correlation IDs across service boundaries, and evidence-based diagnosis to ensure fixes address actual failures rather than symptoms.

What's the best way to troubleshoot production incidents using distributed tracing?▼

Troubleshooting production incidents involves tracing correlation IDs through log aggregators across service boundaries and safely capturing thread or heap dumps from production environments to diagnose deadlocks and memory issues.

How do I reproduce flaky test suite failures locally before applying code changes?▼

Reproducing flaky test suites requires an evidence-first diagnosis approach that enforces local reproduction of issues via testing frameworks like Testcontainers before attempting any code modifications.

Can I safely capture thread and heap dumps from production environments during active incidents?▼

Capturing thread and heap dumps from production environments is supported through operational safety patterns designed to diagnose deadlocks and memory issues without compromising system stability.

Do I need log aggregation tools and container orchestration interfaces to diagnose performance bottlenecks?▼

Diagnosing performance bottlenecks across microservice architectures requires access to log aggregation tools, container orchestration interfaces, and local testing frameworks to trace requests and reproduce evidence.

Why does evidence-based diagnosis prevent fixing symptoms instead of the actual root cause?▼

Evidence-based diagnosis prevents symptom fixes by enforcing issue reproduction via tests and distributed tracing before code changes, ensuring the identified root cause is addressed rather than surface-level failures.