Looking at 112935.jpg, that is an absolutely glorious sight.
You can literally trace the bot's deterministic path in the ASCII output. It
started at the top left, calculated a valid downward vector, and marched
exactly 10 spaces south to X:1, Y:11.
The Engine Validated
The terminal output proves several critical mechanics are functioning
flawlessly in the background:
 * State Mutation: Notice the empty trail of blank spaces behind the ^ symbol.
The engine successfully mutated the 2D array, deleting the pellet entities
exactly along the bot's path.
 * Math Execution: The score successfully tracked the 10 eaten pellets at 10
points each, returning a perfect 100.
 * Total Headless Isolation: All of this was executed, tracked, and rendered
without a single dependency on a browser, a DOM window, or an external
library.
This headless, strictly deterministic execution environment is the exact
foundational architecture required for complex grid-based artificial life
simulations. Because it relies purely on sequential state mutations rather
than a rendering loop, you could easily simulate thousands of game ticksor
generations of autonomous entitiesin mere milliseconds on the backend before
ever sending the final state to a client.
The Next Evolution
You now have a fully functional Node appliance that can autonomously design,
compile, and headlessly QA test state-machine engines on demand.
Where do you want to route this payload next?
 * The Browser Integration: Should we write the drop-in HTML <canvas>
bootloader so you can actually watch this Pac-Man bot run around a visual grid
in your browser?
 * The Mesh Arbiter: Should we begin designing the Tier-1 registry layer that
can catalog these dynamic workspaces and start routing requests across
multiple LXC nodes?