Agentic Automation — A Pytest Framework with Claude Code

About this course

Agentic Automation Course

Build a test-automation framework where the work is done by AI agents, not scripts you run by hand.

Most automation courses teach you to write scripts. This one teaches you to build a team — a roster of purpose-built Claude Code subagents that plan, write, review, run, and debug tests by reasoning about the work, using their own tools, and handing off to each other in a real engineering loop.

You'll author each specialist from scratch and wire it into a working pipeline:- plan-architect researches a task and returns a reviewable plan before a line of code is written- automation-writer turns user stories and acceptance criteria into non-flaky Pytest + Playwright tests- senior-code-reviewer reviews the diff read-only and opens the PR on approval- test-suite-planner decomposes a story into prioritised, independent suites as Jira sub-tasks- test-runner executes each reviewed suite and posts a sanitized verdict- qa-failure-investigator tells a test bug from a product bug — by attempting the fix — and files evidence-backed defectsA lean orchestrator routes work between them and carries context across the hand-offs. Because the heavy lifting stays inside each agent's isolated context window, the orchestrator runs a long, multi-stage workflow without exhausting its own — in one measured build it held at ~5%context used while ~250K tokens of work happened inside the subagents.

What makes it different- "Agentic" is literal.

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