A proof of concept checklist evaluates 24 test automation tools, comparing features like build time, runtime, and AI integration. The discussion covers AI-assisted testing, dynamic UI challenges, and practical tool customization for efficiency.

Test Guild

Test Guild - hosted by Joe Colantonio has main topic focus on Testing or Automating. Each episode has a different guest. Show notes have comprehensive links and usually a full transcript. Released as audio and video.

• https://testguild.com/
• https://testguild.com/podcasts/automation/
• https://www.youtube.com/playlist?list=PL9AgRtJkydU1jqvx46esyr56BXtm1QEds
• https://www.youtube.com/@JoeColantonio

Episode Details

• Show Notes: https://testtalks.libsyn.com/scary-test-automation-pocs-made-easy-halloween-special-with-paul-grossman
• Published: 2026-10-20T17:51:00Z
• Duration: 42:28
• Author: Unknown

Overview

The podcast discusses the evaluation and comparison of test automation tools, focusing on a comprehensive proof of concept (PoC) checklist with 177 features developed by Paul Grossman. During a period of unemployment, Paul tested 24 automation tools and created a website to share his findings, including a build time vs. runtime grid based on the “Candy Mapper Challenge” and links to sandbox environments for practice. The discussion highlights specific tools like Copilot CLI, Playwright listeners for handling toast messages, and the use of the slo-mo feature in Playwright to reduce false positives.

The episode also covers AI’s role in test automation, including tools like Copilot instruction files to guide AI behavior and AI-powered solutions such as Anti-Gravity and Augment Code that assist in generating test cases and project frameworks. Emphasis is placed on avoiding hard-coded data, using dynamic variables, and customizing AI tools to enforce coding standards. Additional topics include challenges with dynamic UI elements, Shadow DOM automation, and the importance of event listeners and parallel test execution. Throughout, the focus remains on practical resources, tool evaluation methodologies, and integrating AI as an enhancement - not a replacement - for manual testing expertise.

What If

• What if you evaluated a new test automation tool using Paul’s 177-point PoC checklist this week?

  • Move: Download or access Paul Grossman’s free PoC checklist, pick one untested tool from his list (e.g., BugBug or Autify), and score it across at least 50 core features (browser support, runtime speed, API testing).
  • Why Now?: You’re likely comparing tools for a current or upcoming project - using a proven, comprehensive framework avoids costly missteps and leverages real-world evaluation data from someone who tested 24 tools in a short time.
  • Expected Upside: Reduce tool selection risk by 70%+; build a reusable evaluation template for future tech decisions and potentially publish your findings to grow your personal brand.

• What if you automated the “Candy Mapper Challenge” using AI CLI tools like Copilot CLI this weekend?

  • Move: Set up Copilot CLI or Augment Code in your local IDE, then use plain English prompts to generate a full Playwright script for the Candy Mapper form (name, email, submit, verify) including dynamic data and assertions.
  • Why Now?: AI CLI tools are rapidly evolving and underutilized; doing this now builds muscle memory for high-leverage, low-token automation scripting that can cut dev time by 50% on real client work.
  • Expected Upside: Gain a repeatable AI-assisted workflow that speeds up test creation; document the process to monetize as a micro-course or newsletter content.

• What if you implemented Playwright’s slo-mo and toast listeners in your next test suite to eliminate flakiness?

  • Move: Add { slowMo: 666 } to your Playwright config and write a custom listener to capture toast messages before they disappear, then run your flakiest test (e.g., login with transient alerts) to validate stability.
  • Why Now?: Flaky tests erode trust in automation; Paul’s real-world example shows these features solve actual pain points now, not in a theoretical future.
  • Expected Upside: Reduce false positives by up to 90%, increase test reliability, and position yourself as a precision-focused developer - making your deliverables more valuable to clients or employers.

Takeaway

• Use Paul Grossman’s 177-point test automation PoC checklist to systematically evaluate and compare at least three automation tools, ensuring objective feature-by-feature validation before making a selection.
• Build a personal tool comparison website or spreadsheet modeled after Paul’s Dark Arts Wizard site, including build time vs. run time metrics and direct links to sandbox environments for hands-on testing.
• Set up a .github/copilot-instructions file in your projects to customize AI behavior in GitHub Copilot, enforcing clean coding standards like avoiding magic numbers and hard-coded timeouts.
• Practice automation skills using free sandbox sites like Candy Mapper, Shady Acres, and Selectors Hub - especially focusing on difficult patterns like Shadow DOM and toast messages - using Playwright listeners and slow-mo mode to improve test reliability.
• During career transitions or downtime, dedicate time to test and document multiple automation tools (like Paul did with 24 tools), turning the effort into public content or a portfolio piece to demonstrate expertise and attract opportunities.