Agentic Automation – A Pytest Framework with Claude Code
Published 9/2026
Created by Josef Levy
MP4 | Video: h264, 3840×2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 49 Lectures ( 3h 6m ) | Size: 3.3 GB
Agentic Automation: Skills, Subagents, Planning, and Test Automation
What you’ll learn
⚡ Design and author purpose-built Claude Code subagents – giving each a narrow mandate and exactly the tools it needs
⚡ Separate thinking from doing with plan mode – produce a reviewable plan before writing code
⚡ Orchestrate a multi-agent engineering loop – plan → build → review → test – where a lean orchestrator routes work across agents
⚡ Turn requirements into a running Pytest + Playwright framework – mapping user stories and acceptance criteria into non-flaky automated tests
⚡ Work within enforceable guardrails and improve agents from real results – building inside allow/deny permission policies
Requirements
❗ Comfortable with Python, Pytest, and Git; some Playwright and Claude Code exposure helps
Description
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 ateam – 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 – byattempting the fix – and files evidence-backed defects
A leanorchestrator 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. Each agent is an autonomous LLM worker with a narrow mandate, its own context, and exactly the tools it needs – toolsare the capability boundary, so a read-only reviewer physically can’t mutate the repo.
✅Dogfooded throughout. Every agent is exercised on real work in the course’s own repo, driving a live Jira board and a real browser against a running app. Whatever breaks gets fed back into that agent’s prompt – so you learn to improve agents the way you’ll actually improve them.
✅Guardrails you workwith . Destructive, staging, commit, push, and PR-create commands are denied outright; sanctioned actions are wrapped in allow-listed skills. You learn to build inside enforceable policy, not around it.
The pipelineplan → build → review → test, with a defect fork when a suite catches a real product bug. Progress is visible on the Jira board through a single parent-story status, one owner per transition
To Do → In Planning → Ready for Dev → In Progress → In Review → In Testing → Done
You’ll practice
Matching tools to intent · planning before doing · delegating execution to keep an orchestrator’s context lean · separating "it compiles" from verified and "review" from security audit · and feeding real findings back into agents so each dogfood failure pre-empts its whole class
of bug next time.
Stack: Python · Pytest · Playwright · pipenv · pytest-html + Allure · custom Claude Code subagents and skills · live Jira Cloud.
Educational course material – designed to be worked through interactively with Claude Code against a sandbox Jira project and a disposable app-under-test.
Who this course is for
⭐ Developers and automation engineers learning to build with Claude Code subagents
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