testing-level-poc

name	testing-level-poc
description	Testing strategy for Proof of Concept projects
license	MIT
compatibility	opencode
metadata	{"audience":"developers","category":"testing"}

POC Testing Strategy

Minimal testing approach for Proof of Concept projects focused on validating technical feasibility.

When to use me

Use this skill when:

• Building a proof of concept to validate technology choices
• Testing architectural approaches or algorithms
• Demonstrating feasibility to stakeholders
• Exploring new technologies with minimal investment
• Rapid prototyping without production concerns

What I do

Core Philosophy: Maximum learning, minimal quality assurance. Focus on answering "Can we build this?" not "Is this production-ready?"

Recommended Testing Approach:

1. Manual Testing (Primary)

   • Ad-hoc testing by developers
   • Quick validation of core hypotheses
   • No formal test documentation
   • Exploratory testing of key technical challenges

2. Minimal Unit Testing

   • Test only critical algorithms or complex logic
   • Skip business logic and edge cases
   • No coverage requirements
   • Focus on technical risk areas

3. No Formal Test Types

   • Skip integration, E2E, performance, security testing
   • No test automation setup
   • No CI/CD pipeline for testing
   • No formal test reporting

Project-Specific Adjustments:

• Hobby POC: Pure manual testing, focus on fun/learning
• Enterprise POC: Some unit testing for credibility, demo scenarios
• Technical Spike: Targeted testing of specific technical risks only

Examples

# POC testing is minimal and manual
# Example manual validation commands:

# Test core algorithm
node test-algorithm.js
python validate-hypothesis.py

# Quick API test
curl -X POST http://localhost:3000/api/test

# Database connection test
node test-db-connection.js

# No formal test suites needed

Output format

POC Testing Summary:
──────────────────────────────
Technical Feasibility Assessment:

✅ Core Algorithm Works:
  - Processes 10k records in < 2 seconds
  - Accuracy: 98.7% (meets 95% target)
  - Memory usage: Acceptable (max 512MB)

⚠️ Integration Challenges:
  - API rate limiting may be issue at scale
  - Database schema needs optimization

❌ Showstopper Found:
  - Third-party service has 5-second latency
  - May not meet performance requirements

Recommendation:
  - Technical concept is feasible
  - Address API latency concern before proceeding
  - Proceed to MVP with risk mitigation plan

Testing Effort: 4 hours manual testing
No formal test infrastructure needed

Notes

• POC testing should be time-boxed (days, not weeks)
• Document findings and limitations clearly
• Focus on answering specific technical questions
• Don't build test infrastructure that won't be used later
• Be clear with stakeholders about POC limitations
• POC code is often thrown away or significantly refactored
• Consider spike solutions for specific technical risks
• Balance speed with enough testing to validate feasibility