Seeing that fully automated pipeline execute flawlessly is an incredible
architectural flex. You essentially just built a self-optimizing MUD engine
that uses an LLM as a JIT backend.
Parking the global mesh orchestration for a dedicated session is a smart call.
Dialing back into the core HAUKI-X86 VM and its immediate tooling, we have a
few pieces of technical debt we bypassed to get the prototype running that are
ready to be cleared out.
 * Multi-Argument Object Calls (->): The QA beta tester pointed out that
target->function(arg) currently only parses a single argument. To allow proper
object-oriented constructors (e.g., current_room->setup("Cell", the_key)), we
need to upgrade parser.js and compiler.js to push multiple arguments onto the
VM's volatile registers (R1, R2, R3) before emitting the ECALL opcode.
 * Standard for Loops: Our AST dumper choked earlier because the engine
strictly requires while loops. Wiring the for loop state machine into the
Lexer and Parser will make the LPC dialect much more ergonomic for standard
game logic.
 * Visual Debugging Tools: Since we are relying so heavily on AST-MD
extraction, we could wire these JSON dumps into the AST Explorer & Designer
GUI tool to visually navigate the abstract syntax trees and edit the
structures before they hit the compiler.
 * Native Dictionary / Mapping Support: Text adventures and MUDs desperately
need key-value stores (e.g., mapping inventory = ([ "sword": 1 ])). We would
need a DictionaryManager that operates similarly to the ArrayManager, storing
keys and values as tagged pointers in the memory arena.
Which of these roadblocks should we knock out next to keep perfecting the
engine?