LTL Commit
A classroom evidence layer for live student labs: commits, AI feedback, teacher review, and cohort-level insight.
Lab accountability · AI feedback · teacher insight
# LTL Commit A commit system for LALTech Lab, where every student is working through a different live workflow. ## Why it exists LALTech Lab creates real student activity across research, AI, engineering, design, communications, and data. That freedom creates an evidence problem: the work is distributed, fast-moving, and easy to lose. LTL Commit gives each class a simple accountability rhythm. ## What it does - Asks students to submit a structured commit at the end of each class. - Captures what was attempted, what changed, what evidence exists, and what support is needed next. - Gives students AI-guided feedback while the commit is being written. - Routes commits into teacher review, assessment, notes, flags, exports, and reports. - Maps student metadata so teachers can see patterns across individuals, teams, and cohorts. - Turns lab activity into a durable learning record rather than scattered classroom memory. ## Stack - SvelteKit, Vite, TypeScript, Tailwind - FastAPI, SQLAlchemy, Alembic, Python - Monorepo packages for shared types and utilities - OpenAPI contract snapshots and regression tooling ## Public note This is a sanitized preview of a private repository README. Quickstart commands, local paths, internal routes, tokens, and operational runbooks are intentionally omitted.