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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This repository contains reference materials from the 10xDevs course (Przeprogramowani.pl) - a comprehensive knowledge base for AI-assisted software development. All 116 documents are written in Polish.

Note: This project has no application code. It serves as a reference library for AI-assisted development workflows.

Resource Structure

  • resources/10xdevs_checklisty_i_poradniki/ - Checklists and guides for development phases
  • resources/10xdevs_lekcje/ - 30 course lesson materials
  • resources/10xdevs_prompts_library/ - 82 prompt templates organized by module

Module Overview

Module Focus Key Topics
M1 Foundations Model selection, IDE collaboration, AI agent workflows
M2 MVP Bootstrap PRD creation, database schema, REST API, UI generation
M3 Production Authentication, testing (Vitest/Playwright), CI/CD, deployment
M4 Legacy Code onboarding, regression testing, DDD modernization
M5 Innovation MCP servers, llms.txt, AI agents in CI/CD

Technology Stack (Taught in Course)

  • Frontend: React, Astro, Tailwind CSS, shadcn/ui, React Hook Form + Zod
  • Backend: TypeScript, PostgreSQL, Supabase (Auth + RLS)
  • Testing: Vitest (unit), Playwright (E2E)
  • Deployment: GitHub Actions, Cloudflare Pages, Docker/DigitalOcean

Key Reference Documents

  • general-guidelines---10xworkflow.md - Comprehensive AI-assisted development guide
  • checklista-modułu-2---ai-first-mvp.md - MVP development checklist
  • checklista-modułu-3---going-live-on-prod.md - Production deployment checklist
  • checklista-modułu-4---modernizacja-legacy.md - Legacy modernization guide

Prompt Library Navigation

Prompts are organized by development phase in resources/10xdevs_prompts_library/:

  • m1-10xworkflow/ - Meta-prompting, code review, visualization (ASCII, Mermaid, LaTeX), analysis techniques (devil's advocate, pre-mortem, unknown unknowns)
  • m2-bootstrap/ - PRD planning, database schema, API design, UI architecture
  • m3-prod-ready/ - Authentication flows, testing strategy, deployment configs
  • m4-legacy/ - Code analysis, DDD workshops, onboarding documentation, debugging
  • m5-innovation/ - MCP server implementation

Core Methodologies

  1. Context-First Development - Provide complete PRD/requirements before coding
  2. 3x3 Iterative Workflow - Implement features in small, validated chunks
  3. Model Role Separation - Use different AI models for planning vs coding tasks

User Learning Profile

  • Profile Location: .ai/user-profile.md - Contains learning progress, goals, and next steps
  • Session Start: Run /start at the beginning of each learning session to get a status update