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 658
Python internals, async, FastAPI and Django, databases, queues, protocols, architecture, infra and cloud — plus the quant and healthcare domain tracks.
Frontend 224
JavaScript, TypeScript, React 19 with the compiler, Vue 3.5, state, testing, performance, accessibility and rendering modes.
AI & ML 173
Maths and ML foundations through transformers, RAG, agents, MCP, evaluation, guardrails, MLOps and realtime voice.
System design 30
Integration patterns, resilience, the design framework, eight worked designs and the scaling building blocks.
Behavioural 17
STAR stories, and the 2026 questions about how you actually work with AI tools.
Tech check 11
Debriefs of interviews actually sat. The best signal for what to prioritise.
Methodologies 9
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.