Mentoring

Practical mentoring for engineers and QA teams moving toward senior-level impact

Structured support for automation strategy, delivery reliability, and AI adoption in real engineering workflows.

Automation strategyCI/CD reliabilityAI-assisted workflowsSenior engineering habits
Sławomir Radzymiński

Why this mentoring is different

Testing advice grounded in real product engineering

I am a test engineer with strong hands-on engineering experience beyond test automation. I have built frontend and backend applications, worked in startup-style stacks, and spent years in enterprise engineering environments such as Ocado.

That matters because quality problems rarely live only in the test suite. They sit between product code, architecture, CI/CD, review habits, team constraints, and the feedback loops engineers use every day.

I am also deeply involved in the AI engineering shift. I work with Codex, GitHub Copilot, Claude Code, and Cursor, and I have followed this transformation from the beginning. The goal is not to chase tools, but to use them with context, review discipline, and repeatable engineering habits.

Start with context

Send me the messy technical problem

You do not need a polished brief. A few concrete constraints are enough for me to understand where mentoring, consulting, or a focused team session can help.

Share your context
Current stack and team setupQuality risks or slow feedback loopsAI tools already in useThe decision you are stuck on