A comprehensive training program on building deterministic test automation. Treat test automation as a compilation problem where markdown test cases are source code, AI discovery runs are the compiler, and YAML specifications are the deterministic output.
TAC starter repository with command templates
10 hands-on exercises
Private community access
Certificate of completion
A comprehensive training program on building deterministic test automation using the TAC (Test Automation Compiler) methodology. This course transforms how you approach test automation—treating it as a compilation problem where markdown test cases are source code, AI discovery runs are the compiler, and YAML specifications are the deterministic output.
You’ll build a complete TAC System that achieves 10/10 reliability scores while eliminating the parallel maintenance burden of documentation and code.
Most test automation courses teach you Playwright syntax or Selenium APIs—you're still maintaining parallel artifacts (documentation AND code) that drift apart. This course teaches you a fundamentally different approach: markdown test cases as the single source of truth, with AI handling the complex translation to deterministic automation.
You learn to direct AI agents that discover selectors, measure timing, and generate reliable YAML specifications. You leave as someone who orchestrates your team of AI agents, not someone who hunts for CSS selectors. The TAC System you build achieves production-grade reliability while eliminating the maintenance nightmare of traditional test automation.
TAC Training Syllabus
A syllabus designed to take you from understanding the compiler mindset to building production-grade deterministic test automation
Why traditional test automation approaches create maintenance nightmares—and how the compiler paradigm solves them.
Writing test cases that are inherently automatable from the start.
Using AI exploration to discover implementation details your tests need.
Turning discovery data into actionable automation intelligence.
Creating deterministic specifications from discovery intelligence.
Verifying your compiled tests are deterministic and reliable.
Building self-improving automation through intelligent feedback.
Handling real-world complexity that breaks simple automation.
Project 1: Complete TAC Pipeline
/discover, /learn, /generate, and /validateProject 2: Self-Learning Automation Suite
Basic familiarity with testing concepts is required. You'll work with YAML and markdown, not traditional programming. The AI handles the complex implementation details.
Other courses teach you Playwright or Selenium APIs—you write code that parallels your documentation. TAC teaches you to write markdown test cases that compile into deterministic YAML automation. The AI discovers selectors and timing; you focus on test design.
Traditional: Write documentation, then separately write automation code, then maintain both forever. TAC: Write markdown (source code), AI compiles it to YAML (bytecode), execute deterministically. One artifact, no drift.
The current implementation uses Chrome DevTools MCP. Playwright MCP support is on the roadmap for multi-browser testing. The methodology itself is browser-agnostic.
Run 1 (Discovery): AI executes your markdown test case, exploring multiple selector strategies and measuring timing. Run 2 (Validation): Execute the generated YAML to verify it produces identical results deterministically.
When tests fail, the system analyzes whether to update the YAML (selector changed) or markdown (business logic changed). Learnings get documented and integrated into future discovery runs, making the system smarter over time.
PTP covers the full testing lifecycle (create, review, automate, execute, validate, apply). TAC focuses specifically on the automation compilation step—turning test cases into reliable automation. TAC can be used standalone or as part of a PTP workflow.
Yes. You'll have permanent access to the TAC starter repository, all templates, and the private community for ongoing support and updates.
Ready to stop hunting for selectors and start compiling tests? Join the growing community of automation engineers who've eliminated the parallel artifact nightmare. Enroll now and build a TAC System that transforms markdown test cases into production-grade automation—while you direct the process from a higher level.
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