stackbook
Interview notes for senior backend Python and AI/ML roles. Every claim is checked against a dated stack baseline, and every note ends in the questions an interviewer would actually ask.
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Domains
Backend 725
Python internals, async, FastAPI and Django, databases, queues, protocols, architecture, infra and cloud — plus the quant and healthcare domain tracks.
Frontend 227
JavaScript, TypeScript, React 19 with the compiler, Vue 3.5, state, testing, performance, accessibility and rendering modes.
AI & ML 217
Maths and ML foundations through transformers, RAG, agents, MCP, evaluation, guardrails, MLOps and realtime voice.
System design 35
Integration patterns, resilience, the design framework, eight worked designs and the scaling building blocks.
Tech check 30
Debriefs of interviews actually sat. The best signal for what to prioritise.
Behavioural 22
STAR stories, and the 2026 questions about how you actually work with AI tools.
Methodologies 12
Agile, Scrum, Kanban, XP, estimation — and AI-assisted delivery.
Claude certification 8
Agentic architecture, tool design and MCP, context management, prompt engineering.
Practical cases 3
End-to-end 'how would you build this' scenarios with worked answers.