SousChef
FastAPI + Streamlit recipe system with AI extraction from text/images/URLs, JWT auth, Redis-backed background work, Docker Compose and Playwright E2E.
EASS
Engineering of Advanced Software Solutions is a two-part HIT course about ownership. Part A: one student builds one complete system. Part B: a team turns technology into an operating company.
Own the whole system.
Each student takes an idea to a running, testable product and practices architecture, interfaces, reliability, deployment, and end-to-end ownership.
Problem→Architecture→API + data→UI→Tests→Deploy→E2E demo
Core: Python & uv · Git/Linux · HTTP/APIs · FastAPI · persistence/migrations · frontend · Docker/Compose · testing/CI · auth/security · async work · caching/queues · cloud/AI · observability.
Run the company.
Teams choose a real problem, find users, ship, operate the product, measure what happens, and change direction from evidence. Product, engineering, ML and GTM become one loop.
Problem→Users→MVP→Ship→Measure→Talk to users→Iterate
Core: problem selection · customer discovery · product scope · team ownership · production operations · analytics/experiments · AI/ML where useful · reliability/security · pricing/positioning · distribution/GTM · weekly shipping · metrics · demo day.
Selected Part A systems
A verified sample across cohorts showing progression from full-stack foundations to AI-native systems.
Prompt Vault
FastAPI prompt library with SQLModel/Alembic, Redis, a separate analyzer service, Claude via Pydantic AI, Docker Compose and async refresh.
Israel Flights Tracker
Scheduled flight-data ingestion with FastAPI, Streamlit, PostgreSQL, analytics endpoints and Docker Compose.
Notes App
React frontend, FastAPI backend, MongoDB and Docker Compose—the early-course end-to-end pattern in a compact system.
Selected Part B companies
Teams own users, operations, measurement, iteration, distribution, and the code that supports them.
Fridgi
AI home-food management for inventory, recipe suggestions and shopping. The team also did customer segmentation, market research, revenue modeling, lead generation and outreach.
System → users → market → leads.
Prizma News
A live publishing product with content, readers, distribution, and an operating public surface.
Build → publish → operate → learn.
Waste-contamination detection
An earlier cohort applied computer vision to contamination in waste streams and connected model output to an operational decision.
Public course infrastructure
EASS Engineering Mastery
455 questions across 34 modules covering durable systems mental models and practical engineering.
EASS Auto-Grader
Reproducible project evaluation with setup, lint/test workflows, parallel execution and structured comparison.
EASS Hub
Engineering checklist spanning Bash, Git, Docker, FastAPI, Pytest, React, HTTP, AWS, security and data.
Teaching thesis
Part A: one person owns a system end-to-end. Part B: a team builds a company that ships, learns and grows.