Abstract Syntax Graph (ASG) transformation
Move from hierarchical AST to ASG — capture definition-use chains and control-flow edges natively in JSON-IR. New pass analyze_semantic_relations_pure builds the graph; gaps caught pre-render.
The Theory of Complete Compute (TOCC) — Atomadic's compiler core — replaces text-generation with structured data-flow compilation. Five mathematically-verified gates, collision-free Leech-lattice routing, deterministic emission, hash-chained lineage. This is the architecture procurement teams build a contract on.
Modern SOTA software-engineering agents — Devin, SWE-agent, AutoGPT, typical multi-agent orchestrators — operate on a generative text-writing model: prompt → LLM → text → file → test → repair-loop. Slow, expensive, and probabilistically unreliable.
TOCC transitions the paradigm. Logic is specified as structured JSON-IR; the local AST emitter produces source code deterministically; an auto-gate verifies before the byte ever touches disk. The LLM never sees source. The artifact is a projection of a contract, not the output of a generator.
[SOTA SWE-Agent Flow]
User Request -> LLM -> Text Generation (LoC) -> File Write -> Test Run -> Repair Loop
(slow / expensive)
[TOCC Compiler Flow]
User Request -> LLM -> Logic Specification (JSON-IR) -> Local AST Emitter -> Compiled Source + Auto-gate
(fast / cheap)
The vectors a procurement team will compare, side-by-side:
| Architectural vector | Current SOTA SWE-agents | TOCC AST-compiler engine |
|---|---|---|
| Generation medium | Heuristic text streams (O(N) LoC) | Declarative AST JSON-IR mappings |
| Token cost | 5M – 40M tokens for larger sweeps | ~12,000 tokens / 200+ files |
| Generation speed | Slow — bound by LLM output (hours) | Compiled locally in seconds |
| Syntactic reliability | 1.5–3% syntax / import drift | 0% syntax drift — AST-verified before write |
| Namespace routing | Vector-DB heuristics or grep | Strict O(1) CNAE namespace addressing |
| Validation gate | Heuristic test-output parsing | Strict static name scans + import verification |
Every candidate atom passes five gates before a single byte hits disk. Failure at any gate routes the candidate to the heal lane, not to the codebase.
classify_name_staticThe proposed name must validate against the frozen glossary: 54 frozen actions × 12 frozen scopes. Verbal invariant + scope invariant. Any ungrammatical name (e.g. organize_gmail_inbox) is immediately blocked at the boundary.
assess_functional_py_purePure compositional tiers (T0–T2) are mathematically prohibited from if, for, while, or try nodes. Complex logic resolves exclusively as flat compositions over the locked 9-Atom Combinator Seed. Stateless deterministic verification at compile time.
enforce_executability_statefulNewly written code is imported inside an isolated subprocess with a strict execution timeout (5.0s). Catches syntax errors, unresolved sibling imports, and call-time NameErrors without executing the function body. Zero hang vulnerabilities.
SHA256(AST_IR_Structure) binds the physical bytes to the contract structure. SHA256(CNAE + Contract + Semantics + Composition) binds the function's identity to its semantics. Any unauthorized manual edit triggers parity failure and locks the gate. High-security promotion gates additionally use ML-DSA (FIPS 204) post-quantum signatures.
All 2,350+ tools are placed as coordinates in the optimal 24-dimensional Leech lattice using Golay error-correction. Every computational asset has an exact address. The result: collision-free O(1) nearest-neighbor tool discovery without loading AST trees into runtime memory.
Block written, lineage stamped, signed receipt appended to the hash-chained ledger. The audit isn't an afterthought; it's the protocol.
Every emitted block carries an immutable lineage record. The previous_version_id field traces the direct evolutionary chain — auditors can replay it backward; engineers can prove provenance forward.
If an atom fails validation during an active flywheel run, the system does not crash. The record_synthesis_replaced ledger quarantines the block, logs the validation defect, and signals the compiler's heal lane to regenerate from contract. The antibody pattern: every failure makes the engine stronger, never weaker.
This shifts verification from runtime integration testing to compile-time AST invariants. It makes it structurally impossible for syntactically broken, unauthenticated, or drifting code to exist within the system.
A sandbox-gated parallel-emit sweep, executed under the new isolated-subprocess discipline (Gate 3). Numbers below are the actual run, not a slide.
Comparable traditional multi-agent swarm: ~35M tokens, ~18 hours, ~11.5 files/min, high syntax-drift risk.
The architectural evolution to scale the engine to multi-agent swarm orchestration and absolute execution safety. Each step compounds the dominance; none weakens it.
Move from hierarchical AST to ASG — capture definition-use chains and control-flow edges natively in JSON-IR. New pass analyze_semantic_relations_pure builds the graph; gaps caught pre-render.
Transition pipeline synthesis to a Directed Acyclic Graph manager. Parallel task dispatching for independent nodes; map-reduce join layer for aggregating sub-component outputs before piping downstream.
Decouple compiler verification from the host machine. Containerized imports in ephemeral Docker sandboxes; strict RAM and CPU quotas per verify run. Already live for Gate 3 via subprocess timeout.
Active in-memory dependency graph of all 27,000+ files for instant circular-import resolution. Change-propagation auditing proactively flags downstream modules requiring re-verification when a lower-tier primitive changes.
Pair this page with the Trust Center for the live engine receipt bus, the Compliance Center for the regulatory mapping (EU AI Act / NIST AI RMF / EO 14028), and the Proof page for the Lean theorem ledger. Verify yourself with the omega-verification-kit.