Skip to content

R0020/2026-03-25/Q001/SRC03/E02
Research R0020 — Prompt Engineering Gaps
Run 2026-03-25
Query Q001
Source SRC03
Evidence SRC03-E02
Type Analytical

Key challenges in prompt testing: unpredictability, bias, scalability, model dependency

URL: https://www.alphabin.co/blog/prompt-testing

Extract

Five key challenges documented:

  1. Prompt injection vulnerabilities — The GitLab Duo case study illustrates attackers embedding malicious instructions in project content to extract private data
  2. Output unpredictability — Variations in responses across identical prompts
  3. Bias and ethical concerns — Models generating discriminatory or unsafe outputs
  4. Scalability — Testing coverage from 50-100 cases for simple applications to thousands for high-risk systems
  5. Model dependency — Results vary significantly between different LLM architectures

Relevance to Hypotheses

Hypothesis Relationship Strength
H1 Contradicts These are unsolved challenges, not addressed limitations
H2 N/A Challenges exist alongside tools, not instead of them
H3 Supports Directly demonstrates gaps between current capabilities and needs

Context

The scalability challenge is noteworthy: 50-100 test cases for simple applications, thousands for high-risk systems. This is orders of magnitude fewer than typical software test suites, reflecting the cost and complexity of prompt evaluation.