dsh-qa: An AI Testing Workbench Inside DeepSeek Harness
dsh-qa is a local testing workbench plugin for DeepSeek Harness: dashboard, calendar, kanban, gates, and AI collaboration on one screen, with a DSH session per project.
AI in Testing
Blog
AI in Testing
From Requirements to Release: Running a Full Test Project with dsh-qa
Follow a test project end to end with dsh-qa: requirements, test design, review gates, execution, defect regression, milestones, reporting, and release.
AI in Testing
Awesome QA Skills: Using AI to Make Testing Work Better
Awesome QA Skills is a practical QA skill library for AI tools. It captures testing knowledge into reusable skills so teams can deliver faster and more consistently.
AI in Testing
Awesome QA Prompt: Using AI to Make Testing Work Better
Awesome QA Prompt an AI prompt library for QA work. The idea is to capture expert testing knowledge in prompt templates, so AI can work like a senior test engineer
AI in Testing
30 Days of AI in Testing Challenge: Day 31 Bonus: Visualise the future of AI in testing
Day 31 bonus reflection visualizing the future of AI in testing, including team roles, workflows, risks, and opportunities for sustainable adoption.
AI in Testing
30 Days of AI in Testing Challenge: Day 30: Consider what your AI Test Buddy would do for you
Day 30 exploration of what an AI test buddy should do: augmenting planning, generation, analysis, and feedback loops for higher-quality testing.
AI in Testing
30 Days of AI in Testing Challenge: Day 29: Share whose work is influencing your AI in testing approach
Day 29 recap of experts and communities influencing my AI-in-testing approach, with key takeaways and how they shape practical testing decisions.
AI in Testing
30 Days of AI in Testing Challenge: Day 28: Build your own AI Tools
Day 28 notes on building your own AI testing tools, from problem framing and prototype design to validation and iteration in real workflows.
AI in Testing
30 Days of AI in Testing Challenge: Day 27: Assess your team’s readiness to adopt AI-assisted testing
Day 27 reflection on evaluating team readiness for AI-assisted testing, identifying capability gaps, and creating a practical adoption roadmap.
AI in Testing
30 Days of AI in Testing Challenge: Day 26: Investigate strategies to minimise the carbon footprint of AI in testing
The blog post discusses strategies for minimizing carbon footprint in AI testing, as part of the 30-day AI Testing Challenge…
AI in Testing
30 Days of AI in Testing Challenge: Day 25: Explore AI-driven security testing and share potential use cases
This blog post is about the twenty-fifth day of the 30-Day AI Testing Challenge, exploring AI-driven security testing and sharing potential use cases…
AI in Testing
30 Days of AI in Testing Challenge: Day 24: Investigate code explanation techniques and share your insights
This blog post is about the 24th day of the 30-day AI Testing Challenge, exploring code interpretation techniques and sharing insights…