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MipCode (.mip / .mip.json) v0.5 — Architectural Mipmaps & Stateful Pre-Edit Guardrails for AI Coding Agents

Architectural Mipmaps + Stateful Pre-Edit Guardrails: Compile any polyglot repository (Rust, Python, TypeScript/JS) into a self-contained .mip.json (.mip) container with incremental SQLite caching, Stateful "Fog-of-War" Resolution Gating, Production-First Blast-Radius Analysis, and a Zero-Tax Compact Markdown Wire Protocol.

"Semantic LOD v0.5 treats a codebase not as a flat file tree, but as a 3D surface geometry rendered under dynamic task lighting. By borrowing anisotropic filtering, BRDF shading, and ray-casting from computer graphics, .lod solves the multi-file byte-budget bottleneck—delivering blazing-fast cross-cutting execution traces while maintaining strict architectural governance through its stateful MMU."


The Dual Problem: Starvation vs. Overload

When coding agents modify complex repositories, two failure modes dominate:

  1. Context Starvation (Flat RepoMaps / Naive Lexical Search): Signature dumps and raw grep strip out project-level decisions (DEC-01), doc-comment invariants (//! INVARIANT), inline module constants, and cross-language coupling. The agent edits a signature or constant and triggers cascading regressions across uninspected callers.

  2. Context Overload (Verbose JSON / Raw File Dumps): Dumping entire files or repeating verbose JSON schemas and 64-character SHA-256 hashes per line exhausts tight agent token and byte budgets before the agent can inspect all affected callers.

MipCode v0.5 solves both by combining computer-graphics mipmapping (L0–L3), Stateful Fog-of-War resolution gating, Active Pre-Edit Guardrails, and anisotropic ray-slicing:

Mip Level

Resolution Name

Contents

Access & Guardrail Rule

L0

L0_WORLD_MAP

Top modules by PageRank centrality, project decisions (DEC-01), and explicit l0_loss omission ledger fitting within token budget.

Always accessible without pre-conditions.

L1

L1_BLUEPRINT

Extracted module facts (EXTRACTED_FACT), contract invariants (DECLARED_RULE), heuristic warnings (HEURISTIC_HAZARD), and coupled modules.

Required before requesting L3 raw source or modifying a coupled module.

L2

L2_MECHANICS

Compact module symbol index with non-zero child counts or full function/class signatures + docstrings + auto-inlined module constants.

Accessible once L1 is hydrated or directly for symbol discovery.

L3

L3_RAW_SOURCE

Exact 1-based line-numbered source slices + auto-inlined referenced constants unpacked from embedded zlib+base64 blobs and verified via live SHA-256 freshness checks.

Gated by Fog-of-War: Jumping straight to L3 or editing without L1/blast-radius hydration triggers an automatic guardrail interception.


Related MCP server: Hoplon

MCP Tool Namespace (mip.* / Dual-Layer Tool Surface)

MipCode v0.5 establishes a Dual-Layer Architecture: the public MCP interface uses intuitive developer verbs so agents never burn reasoning tokens translating graphics jargon, while the under-the-hood engine executes the physical simulation model (BRDF shading, foveated raycasting, ambient occlusion).

Upgraded Public MCP Tool

What It Does

Engine Alias

mip.map() (mip_map / lod_map)

Mount budgeted L0_WORLD_MAP with top modules by centrality, project rules, and explicit l0_loss ledger.

lod_map

mip.symbols() (mip_symbols / lod_symbols)

Query the cross-language symbol & call-reference index across all mipmap levels.

lod_symbols

mip.zoom(target, level, focus="") (mip_zoom / lod_zoom)

If focus is omitted, performs standard isotropic L1/L2/L3 zoom with Fog-of-War gating. If focus="..." (e.g., "persist cache"), it automatically executes the Anisotropic BRDF Shader, ranking relevant symbols (including deep private _helpers) by relevance score while culling off-axis noise under the byte cap.

lod_anisotropic_zoom / mip_anisotropic_zoom

mip.trace(origin, direction, max_hops, focus="") (mip_trace / lod_trace)

Cross-file foveated call-graph tracer. Hop 0/1 render foveated L3 source; hop 2+ stays at L2 signatures. Host-module DECLARED_RULE / HEURISTIC_HAZARD invariants are bundled and recorded via _record_session_l1_hydration, keeping Fog-of-War gates intact for untouched modules.

lod_raycast / mip_raycast

mip.blast() (mip_blast / lod_blast_radius)

Transitive BFS blast-radius analysis ranking production callers ahead of test callers and separating executable calls from docstrings/prose/imports.

lod_blast_radius

mip.guardrail() (mip_guardrail / lod_pre_edit_guardrail)

Single-call Pre-Edit Guardrail packet rendered in Compact Markdown (79%–86% smaller than JSON).

lod_pre_edit_guardrail

mip.verify_edit() (mip_verify_edit / lod_verify_edit_eligibility)

Host Pre-Edit Interception Hook (Claude Code PreToolUse / git pre-commit) enforcing L1 & blast-radius hydration before file writes.

lod_verify_edit_eligibility

mip.propose_delta() (mip_propose_delta / lod_propose_context_delta)

Governed working-context writeback backed by cryptographic hydration receipts (rcpt_...).

lod_propose_context_delta

(All legacy lod_* tool aliases and .lod.json containers remain fully supported for 100% backward compatibility. Detailed anisotropic insights and mathematical foundations are documented in ANISOTROPIC_INSIGHTS.md and docs/NAMING_AND_TOOL_ALIGNMENT_V05.md.)


Origins: Why Passive Multi-Resolution Summaries Weren't Enough

MipCode began as an empirical investigation into hierarchical context compression (often discussed conceptually as "Semantic LOD" or multi-resolution repo summaries). Across five heldout benchmark iterations (v0.1 $\rightarrow$ v0.4), we discovered that passive hierarchical text summaries alone fail as a replacement for rg + file reads:

  • Under equal byte budgets, verbose JSON multi-resolution schemas lose to fast lexical grep (rg) on pure navigation tasks.

  • Coding agents routinely ignore passive expand_when advisory hints when rushing to patch a file.

What actually moved first-attempt cross-module refactoring pass rates from 0% to 100% was replacing passive summaries with MipCode's active guardrail architecture:

  1. Stateful "Fog-of-War" Session Gating & Pre-Edit Hooks (mip.verify_edit / mip.guardrail) that actively intercept blind edits (exit_code=2 / exit_code=3) and auto-hydrate missing contracts and blast-radius callers.

  2. Three-Tier Epistemic Typing (EXTRACTED_FACT, DECLARED_RULE, HEURISTIC_HAZARD) + explicit omission accounting (l0_loss, omitted_at_l1).

  3. Production-First Blast Radius (mip.blast) separating genuine executable call sites from docstring/comment prose mentions and import statements.

  4. Zero-Tax Compact Markdown Wire Protocol (render_compact_markdown) cutting agent wire overhead by 79%–86% while preserving internal SHA-256 provenance.


Quick Start

1. Install

pip install -e .
# Optional: enable native Tree-Sitter AST backend and MCP SDK
pip install -e ".[ast,mcp]"

2. Compile a .mip.json Container (Full or Incremental)

python -m mipcode.compiler demo_engine 500 --mip --incremental

3. Run the Pre-Edit Guardrail Audit on Any Repository

python -m mipcode.real_repo_deploy demo_engine sym://src/projection.rs#OwnedProposal --markdown

4. Run the Full Multi-Condition Benchmark Suite

python -m mipcode.benchmark demo_engine --live-agent

License

Apache License 2.0 — Copyright 2026 Brian Gansz. See LICENSE.

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