Quality Analyst, Not Quality Assurance.
The official DeepSeek Harness Desktop Preview is now available for Windows and macOS, and dsh-qa supports it through the official Plugin entry point as a local QA Workbench.
A release-series overview of dsh-qa from v0.4.1 to v0.5.3: Harness contracts, native Panels, Profile Bundles, version awareness, and the Quiet Studio Workbench.
After a DeepSeek Harness upgrade, dsh-qa hit 404s because it still called retired RPC and Remote endpoints. This post explains the root cause, the adapter strategy, and how contract tests and host smoke tests reduce upgrade risk.
dsh-qa v0.2.0 adds a traceable quality-control loop with source snapshots, controlled runs, evidence bundles, and computed gates.
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.
Follow a test project end to end with dsh-qa: requirements, test design, review gates, execution, defect regression, milestones, reporting, and release.
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.
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
Day 31 bonus reflection visualizing the future of AI in testing, including team roles, workflows, risks, and opportunities for sustainable adoption.
Day 30 exploration of what an AI test buddy should do: augmenting planning, generation, analysis, and feedback loops for higher-quality testing.
Day 29 recap of experts and communities influencing my AI-in-testing approach, with key takeaways and how they shape practical testing decisions.
Day 28 notes on building your own AI testing tools, from problem framing and prototype design to validation and iteration in real workflows.
