Rechercher

PythonReactSEOPDF
GitHub Skill

systematic-debugging

Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.

a5c-ai☆ 417 Étoiles du dépôt21 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Systematic Debugging

Overview

Structured approach to investigating and resolving defects using hypothesis-driven methodology rather than trial-and-error.

When to Use

  • Step verification fails during implementation
  • Unexpected behavior discovered during testing
  • Bug reports require investigation
  • Performance issues need root cause analysis

Process

  1. Reproduce - Confirm the defect with a minimal reproduction
  2. Hypothesize - Form theories about the root cause
  3. Investigate - Systematically test hypotheses (logs, breakpoints, bisection)
  4. Isolate - Narrow to the specific component/line
  5. Fix - Apply targeted fix addressing root cause
  6. Verify - Confirm fix resolves the issue without regression

Key Rules

  • Never apply fixes without understanding the root cause
  • Use web-researcher agent for unfamiliar error patterns
  • Document the investigation path for future reference
  • Verify that the fix does not introduce regressions

Tool Use

Integrated into methodologies/rpikit/rpikit-implement (failure handling)

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-03-11
Mise à jour de l’index
2026-03-11
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!