The roadmap

A staged path for becoming a Quality Engineer in the AI era. Each stage will link to the videos and posts that teach it.

1. Stage 1

   Foundations

   Testing fundamentals that outlast every tool cycle: risk thinking, test design, debugging, and how software actually fails.

2. Stage 2

   Automation engineering

   Writing automation as real software: frameworks, CI/CD, flake control, and test suites a team can trust and maintain.

3. Stage 3

   AI-assisted quality

   Using AI tools to build, maintain, and review tests — knowing where they genuinely help and where they quietly change what your tests mean.

4. Stage 4

   Testing AI systems

   Quality work for non-deterministic systems: evals, MCP servers, agents, contract testing, and deciding what a pass even means.

5. Stage 5

   Quality engineering leadership

   Owning quality strategy: budgets and gates, metrics that survive scrutiny, and making the case for quality work in an AI-driven organization.

Draft structure. The detailed roadmap content follows the SDET.AI editorial process before it is published here.