How Much Testing Is Enough? Decide by Risk and Evidence
A practical look at testing volume, coverage, regression-suite growth, AI evaluation uncertainty, and the evidence needed to support a release decision.
AI Testing
dsh-qa v0.5.3: From Harness Compatibility to a Native 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.
QCov: From Passing Tests to Reviewable Quality Evidence
An introduction to QCov, a local deterministic quality-evidence gap engine and coverage protocol that connects requirements, risks, test artifacts, and change impact.
What a 404 Revealed About Plugin Compatibility: dsh-qa and DeepSeek Harness API Evolution
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: From Test Board to Traceable QA Control Workbench
dsh-qa v0.2.0 adds a traceable quality-control loop with source snapshots, controlled runs, evidence bundles, and computed gates.
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.
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.
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.
Awesome QA Prompt: Using AI to Make Testing Work Better
See how Awesome QA Prompt organizes testing expertise into reusable prompt templates across testing types and workflows, helping AI support QA work more consistently.