// Knowledge base, RAG assistant, and katas: LLMs, RAG, agents, Python, frontend.
// Prep for AI/ML interviews or round out your fullstack. Free.
beam.tstsc --watch
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ERROR
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screams for help
causes panic.
The platform fills four common gaps in interview prep. Each patch is a separate section inside: AI knowledge assistant, knowledge base, mock interviews, coding katas.
Hover an error — the patch will cover it. On mobile: tap to close.
~/jscriptiser/patches
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- ❯git commit -m "fix: career boost"
Platform map
What's inside
Seven sections — each covers a slice of interview prep or day-to-day engineering. Sign in to access, no payment required.
No login needed
Quiz: frontend or AI/ML
Two tracks to pick from — JS/React/HTTP or Python/ML. 10 random questions, easy to hard, with explanations and attempt history.
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Knowledge base
Python, LLMs, RAG, agents, ML and deep learning, cloud and CI/CD, JavaScript, TypeScript, React, Vue, and the network layer. With code samples and difficulty navigation.
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AI knowledge assistant
RAG over hybrid search: answers with citations from the base, shows sources and pipeline stages. Includes a Retrieval Lab and an Eval Dashboard that expose how it works.
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Coding katas
Hands-on tasks in JavaScript, TypeScript, and Python. Editor + auto-tests + hints. From warm-up to interview level.
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Mock interviews
Real questions from Russian and international companies — with explanations, difficulty markers, and personal progress tracking.
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Progress & achievements
XP, levels, streaks, and achievements. Not gamification for its own sake — just a way to see where you got stuck.
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Telegram channel
Channel with breakdowns, interview mistakes, and notes. Sometimes — invitations to mock interviews or jams.
Knowledge Base
