Tech Stack — Kirsantov


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$ tree -L 2 tech-stack/

tech-stack/ ├── frontend/ │ ├── react@19 # UI library │ ├── next@16 (app-router) # React framework │ ├── typescript@5 # Type safety │ ├── tailwind@4 # Styling │ ├── zustand/jotai # State management │ └── framer-motion # Animations │ ├── backend/ │ ├── node@20 # Runtime │ ├── nest/fastify # Frameworks │ ├── express # Classic choice │ ├── edge-functions # Vercel/Cloudflare │ ├── websockets # Real-time │ └── graphql/trpc # API layers │ ├── databases/ │ ├── postgres # Primary SQL │ ├── dynamodb # Serverless NoSQL │ ├── redis # Cache/sessions │ ├── s3 # Object storage │ └── vector-db/ # For AI/embeddings │ ├── pinecone │ ├── qdrant │ └── pgvector │ ├── ai/ │ ├── llm/ │ │ ├── openai # GPT-4, GPT-3.5 │ │ ├── anthropic # Claude 3.5 Sonnet │ │ ├── ollama # Local models │ │ └── vllm # Self-hosted inference │ ├── embeddings/ │ │ ├── openai-ada-002 │ │ └── sentence-transformers │ ├── rag/ │ │ ├── langchain │ │ └── llamaindex │ └── cv/ │ ├── tensorflow.js │ ├── opencv │ ├── yolo # Object detection │ └── tesseract # OCR │ ├── tools/ │ ├── cursor ⚡ # AI-powered IDE │ ├── claude-code ⚡ # Terminal assistant │ ├── vscode # Fallback IDE │ ├── git # Version control │ └── docker # Containers │ ├── testing/ │ ├── vitest # Unit tests │ ├── playwright # E2E tests │ ├── testing-library # React testing │ └── msw # API mocking │ ├── infra/ │ ├── vercel # Primary host │ ├── aws/ # Cloud services │ │ ├── lambda │ │ ├── ecs │ │ └── sqs │ ├── cloudflare # Edge/CDN │ └── github-actions # CI/CD │ └── dx/ ├── turborepo # Monorepo ├── pnpm # Package manager ├── biome/eslint # Linting ├── prettier # Formatting └── husky # Git hooks 8 directories, 40+ technologies

$ cat frontend/details.md

-> Next.js 16 (App Router)

Server Components, Server Actions, Streaming, Partial Prerendering. Know the difference between SSR/SSG/ISR and when to use each.

-> React 19 + TypeScript

Hooks, Context, Performance optimization (memo, useMemo, useCallback). Type-safe components with proper inference.

-> Tailwind CSS v4

Utility-first styling, custom themes, responsive design. Know when to extract components vs inline utilities.

$ cat backend/details.md

-> Node.js Ecosystem

Express for simplicity, NestJS for structure, Fastify for speed. Know trade-offs and choose based on project needs.

-> Edge Functions

Deploy globally, sub-50ms response times. Perfect for API routes, middleware, and geo-distributed logic.

-> Database Strategy

Postgres for relational data, DynamoDB for serverless scale, Redis for caching. Design schemas that prevent N+1 queries.

$ cat ai/philosophy.md

-> LLM Integration

Prompt engineering, context management, streaming responses. Know when to use GPT-4 vs Claude vs local models. Function calling, JSON mode, structured outputs.

-> RAG (Retrieval-Augmented Generation)

Chunk documents -> embed -> store in vector DB -> retrieve relevant context. 10x better than naive search. Perfect for documentation, knowledge bases.

-> Computer Vision

Object detection (YOLO), classification (CNNs), OCR (Tesseract/Cloud APIs). Real-time processing with TensorFlow.js in browser.

$ cat tools/assistants.md

-> Cursor ⚡

AI pair programmer. Accelerates prototyping, generates boilerplate, suggests refactorings. I'm the architect, Cursor is the accelerator.

-> Claude Code ⚡

Terminal-based AI assistant. Great for migrations, test generation, documentation. Handles multi-file operations efficiently.

⚠️ Quality Control

AI tools speed up development 3-5x, but human oversight is critical. Every generated code goes through linters, tests, and manual review.

$ grep -r "learning" ./mindset

./mindset/continuous_improvement.txt: └─ Stay updated with latest releases └─ Read RFCs and changelogs └─ Experiment with new tools in side projects └─ Every project teaches something new └─ Document learnings for future reference

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