How Can You Test a System You Don't Understand?
When systems are unfamiliar, map knowledge gaps, assess risk, seek human feedback, and use AI responsibly. Inspired by Kim Muncey’s MoTaverse talk.
Quality Analyst, Not Quality Assurance.
When systems are unfamiliar, map knowledge gaps, assess risk, seek human feedback, and use AI responsibly. Inspired by Kim Muncey’s MoTaverse talk.
The official DeepSeek Harness desktop preview is available, and dsh-qa v0.7.2 supports dsh-v0.2.0-rc.2 Host Smoke and restores historical DSH conversation handling.
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 caused 404s, dsh-qa adapted to retired RPC and Remote endpoints with an adapter, contract tests, and host-smoke checks.
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.
See how Awesome QA Prompt organizes testing expertise into reusable prompt templates across testing types and workflows, helping AI support QA work more consistently.
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.