The L.A.B. Simulator: Learn → Apply → Break. Auto-graded, decision-driven labs, every one offline and without an AWS account.

Open the labs on GitHub ↗ · the pathway · grade one in the Arena

Each lab has three phases, and the Break phase is the point:

In Codespaces, open one and type lab next. Locally:

python labs/runner/labctl.py list          # the catalog
python labs/runner/labctl.py next          # what you can start right now
python labs/runner/labctl.py start PDL-01  # copies a starter into your workspace
python labs/runner/labctl.py show  PDL-01  # the brief
python labs/runner/labctl.py run   PDL-01  # public checks
python labs/runner/labctl.py submit PDL-01 # public + hidden, records the attempt
python labs/runner/labctl.py break PDL-01  # now survive the Break phase
python labs/runner/labctl.py progress      # per-track progress bars

10 labs built · 4h 40m of hands-on work · every one runs offline, with no AWS account.

_{Decide what to build before building it}

_{The loop, by hand, until nothing is magic}

_{Schemas, contracts and honest failure}

_{What the agent keeps, and what it drops}

_{Grounding you can actually verify}

_{Topologies, and what they cost}

_{Proving it works, and blocking it when it does not}

_{Deployed, observable, reversible}

More labs are specified and open for contribution: the full pathway is the 41-lab map, and how to author one is the guide.

Post /drill AGL-101 in the Simulator Arena and a bot grades it in the thread; progress lands on the Scoreboard.

The course companion · Teach it: the cohort kit · Exercises with answers

_{✏️ This page is generated from labs/README.md and the lab manifests, an edit made here is replaced at the next sync.}