GoogleCloudPlatform/kubectl-ai

Establish a robust testing framework for scalability and reliability

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#196 opened on May 9, 2025

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help wanted

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Description

With kubectl-ai recently achieving significant traction, it's crucial to establish a robust and comprehensive testing framework. This will ensure the project's continued stability, reliability, and scalability as we add new features and attract more contributors.

Tasks include but not limited to:

  • Comprehensive unit tests: to ensure individual components, functions, and logic are thoroughly tested in isolation. This includes, but is not limited to, command parsing, prompt generation logic, Kubernetes API interaction helpers, output formatting, and utility functions.
  • Integration tests: Validate interactions between kubectl-ai's components and its external dependencies where appropriate.
  • Mock frameworks that simulate LLM responses to test without real LLMs

Contributor guide

Research direction
Explore the existing codebase structure and identify components that need unit tests. Start by writing tests for command parsing and prompt generation, then use mocking for LLM interactions.
Tech stack
go
Domain
backenddevops
Issue type
Test
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Gotesting
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60