# UNIVERSE: METAPROGRAMMING_ORCHESTRATOR
> meta_version: 1.0.0
> description: A language-agnostic blueprint for an economical,
self-correcting development engine using frontier AI to evaluate pure logical
graphs on designated ticks.

## ROUTINE: ECO_DEVELOPMENT_TICK
> description: The structural development heartbeat. It orchestrates system
sanity loops without draining token budgets.
> type: routine
> schedule: tick(every_development_interval)

## LOGIC: MD_TOPOLOGY_PARSER
> description: Extracts declarative dependencies, system configurations, and
pure intent constraints directly from markdown files.
> type: logic
> inputs: { markdown_raw: "String" }
> outputs: { execution_graph: "Graph" }

## LOGIC: RUNTIME_EXECUTION_MONITOR
> description: Tracks pure data flowing between isolated modules. If any
outputs breach semantic invariants or schemas, it flags a violation.
> type: logic
> inputs: { execution_graph: "Graph", reference_js_library: "Folder" }
> outputs: { runtime_state: "State", invariant_violation: "Boolean" }

## LOGIC: STATE_DELTA_DIGEST_COMPILER
> description: Aggregates runtime execution states into an ultra-condensed
markdown/JSON summary. Eliminates code noise so the payload sent to the LLM is
minimal.
> type: logic
> inputs: { runtime_state: "State", error_context: "Object" }
> outputs: { token_optimized_digest: "String" }

## LOGIC: FRONTIER_PLANNER_AI
> description: Evaluates structural anomalies using the token-optimized
digest. It treats software modules like Lego pieces, swapping or rearranging
pure components instead of editing raw code.
> type: logic
> provider: glm-5
> checkpoint: true
> depends_on: [STATE_DELTA_DIGEST_COMPILER]
> inputs: { token_optimized_digest: "String", system_blueprint: "String" }
> outputs: { modified_markdown_topology: "String" }

## ENDPOINT: CODEL_RUNTIME_BRIDGE
> description: An isolated, language-agnostic compilation shell. It accepts
the newly arranged pure logic topology and maps it to target language
instances (e.g., JavaScript) at instantiation.
> type: endpoint
> depends_on: [MD_TOPOLOGY_PARSER, FRONTIER_PLANNER_AI]
> inputs: { approved_topology: "String" }