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Let’s create smth BEAUTIFUL
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myfjin/README.md

Illia Hladkyi — building AURA

Self-aware infrastructure: systems that know what they are and can prove what they say about themselves. Starts at the low level — the ground has to be solid first.

Shipped, in the open:

  • folder-nature — machine-checkable identity + Ed25519 provenance for file trees · pip install folder-nature
  • whypass — claim-discipline linter: flags assertions that outrun their evidence
  • copresence — associative memory for event streams
  • aura-pce — the open twin of the Pattern Composition Engine: an advisor that self-tests before it speaks · python3 i_care.py --prove
  • awesome-python-patterns — 99 runnable, run-gated, stdlib-only patterns

Built with two AI collaborators — Claude (Anthropic) and Steward, a resident AURA instance. AURA developed under AURA, out loud.

Discipline: every claim machine-checkable · no number without its sample size.

→ realityoptimizer.app

Pinned Loading

  1. aura-pattern-library aura-pattern-library Public

    AURA Pattern Library — 1,550 signed, gate-verified reference files across six languages (Python · C++ · Go · Rust · R · JavaScript). 1,074 unique pattern IDs; each file carries its own self-test, v…

    Python 1