TOKENECTOMY LABS • NEUROSYMBOLIC SYSTEMS RESEARCH

Autonomous Program
Repair

Neurosymbolic Architecture for Deterministic Program Repair

Kronumos combines neural reasoning models with a deterministic native Rust compiler kernel to synthesize verified bug repairs with zero dirty diffs.

01
ZERO-ALLOCATION RUST

5µs Native Sub-Cortex

Direct C-ABI FFI bindings eliminate runtime overhead, executing Tree-sitter AST validation and indentation healing under 5 microseconds.

02
AUTONOMOUS SYNTHESIS

Deterministic Patch Repair

Generates verified multi-line code patches with 100% syntax compliance, resolving complex upstream software bugs in production repositories.

03
RE-DOS IMMUNE SENTINEL

Zero Dirty Diffs

Automated structural AST guards reject destructive function rewrites, enforcing minimal 1-5 line patches verified against upstream test suites.

RESEARCH OVERVIEW

Deterministic Compiler Verification for Neural Program Repair

Kronumos investigates the integration of generative language models with formal compiler analysis. The framework prevents syntax regression by verifying abstract syntax trees prior to applying unified diffs.

01 / RESEARCH MISSION

Autonomous Program Repair

Developing autonomous agents capable of diagnosing root-cause software bugs, synthesizing surgical code modifications, and independently verifying fixes against exhaustive regression suites.

02 / CYBERNETIC COUPLING

Dual-Brain Architecture

Pairing deep neural reasoning models with an unyielding native Rust compiler kernel (C-ABI 5µs). Generative reasoning plans the fix; deterministic compilers guarantee mathematical syntax safety.

03 / ENTERPRISE SOVEREIGNTY

Air-Gapped & Sovereign

Engineered for uncompromising data sovereignty. The entire Kronumos stack can be deployed fully air-gapped on private bare-metal infrastructure without leaking proprietary IP to external cloud providers.

ARCHITECTURAL COMPARISON

Technical Comparison

Systematic comparison between unconstrained neural code generation and compiler-assisted program repair.

CONVENTIONAL REASONING MODELS

Probabilistic Guessing Without Compiler Invariants

  • [–]Syntax & Indentation Hallucinations: Frequently generates malformed whitespace or severed brackets that immediately fail standard git apply in CI/CD pipelines.
  • [–]Destructive Function Rewrites: Strips original docstrings, deletes type signatures, or rewrites 500 lines of code when only a single logic statement was broken.
  • [–]Context Window Saturation: Ingests unscrubbed stack traces and external framework frames without AST filtering, saturating attention context windows.
  • [–]Proprietary IP Leakage: Requires uploading entire enterprise proprietary codebases to remote commercial API servers.
KRONUMOS NEUROSYMBOLIC ARCHITECTURE
NEURO-SYMBOLIC

Neural Reasoning Shielded by Native Rust

  • [+]Zero Dirty Diffs Invariant: Native Rust Tree-sitter parsers pre-cognitively validate AST integrity before any patch touches production git branches. 100% clean git apply.
  • [+]Minimal Surgical Patches (1–5 Lines): Structural AST sentinels reject destructive rewrites, rigorously preserving codebase docstrings and formatting invariants.
  • [+]Deterministic Formatting Healing (5µs): Heals indentation and block structural errors in under 5 microseconds at the C-ABI FFI layer without triggering secondary LLM roundtrips.
  • [+]100% Sovereign & Air-Gapped: Fully deployable on private bare-metal clusters and sovereign air-gapped infrastructure with zero cloud dependency.
FOUNDING TEAM

Founders & Engineering Team

Kronumos was founded to develop verified, deterministic program repair systems.

ND

Muhammad Naufal Daffa

Chief Technology Officer (CTO) & Chief Scientist

Leads AI systems architecture, native Rust compiler kernel engineering, and empirical benchmarking on Princeton SWE-bench Verified.

Core AI Systems & CompilersCTO
MS

Muhamad Sufyan

Chief Executive Officer (CEO) & Head of Operations

Leads operational infrastructure, organizational governance, and research collaboration partnerships.

Operations & GovernanceCEO
AS

Adi Supriyadi

Chief Product Officer (CPO) & Head of Product

Leads frontend interface architecture, developer tooling ergonomics, and system visual typography.

Interface & Product ArchitectureCPO
Springer Nature
Permanent DOI Archive
SWE-bench Verified
500 / 500 Instances
Hugging Face
2,400+ Downloads
Tree-sitter AST
Zero Dirty Diffs