I Shipped 126 Tests Last Month. Here's the AI Workflow That Got Me There.

112 API tests. 14 UI tests. At my old pace of ~15/month, that would have taken 8+ months. The Payoff — Before You Read Anything Else Metric Before After Tests shipped / month ~15–20 126 (112 API + 14 UI) AI output needing manual fixes — ~30% Error scenario coverage Only P0 errors Systematically covered per endpoint Code consistency Variable High — agents follow skill files faithfully My time spent on Writing boilerplate Test design & strategy Now let me tell you how I got here. My Setup Two AI tools, different purposes. The combination is where the power lies. Tool What It Is Best For Claude Code CLI-based coding agent with full codebase access Multi-file research, large test suites, gap analysis Cursor AI-powered IDE built on VS Code Quick edits, in-context tweaks, single-file work The Secret Weapon: Skill Files & Markdown Context Before asking an agent to write a single line of code, I make sure it has context . Without it, the agent guesses. With it, the agent is an informed collabo