36 lines
1.6 KiB
Markdown
36 lines
1.6 KiB
Markdown
**Bounded Chaos, Deterministic Outcomes**
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<--- the below is likely very interesting to your research --->
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Marcel,
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*Human-Intent → Runtime State*
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A recursive, zero-trust, policy-bound delivery loop that turns high-level intent into compliant, production-ready systems.
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Through GitOps, compliance, and orchestration layers, each deployment reinforces the last — creating **bounded chaos that leads to deterministic serendipity**.
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This isn’t overengineering. It’s *first-principles automation* — business goals in, trusted outcomes out.
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A mathematically-inspired allocation that serves as typing and variables:
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- **Fibonacci sequencing** for scalable type safety
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- **Prime-number silence** for operational variables
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- **Piano-key roles** for intuitive identification
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- **CUE/Jinja2/Go--->docker/k3s/k8s** for error-free config generation
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- **Focus** {Symmetry|Fractals|Tessellations|Spirals} binary systems/prime/golden...etc?
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## tool kit
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scratching the surface
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- /22 subnet and use fibs to bound symmetry and plan things from there!
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- Golang/CUE
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- Python/Conda/Jinja2/FastAPI-
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- Linux {arch|ubuntu}
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- {duckdb|sqlite3} <--- local * production grade
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- {mondodb|postgresql|timescaledb} <--- local/remote * production grade
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- self-host everything
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- latex/pandoc/markdown/mermaid/gitea/invoice ninja{self-hosted} <--- ###### the hidden secret in this entire system
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- git ---> {gitea|github}
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### bounded chaos that leads to deterministic serendipity
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Thank you so much for your contributions to the world!
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It helped me create *deterministic serendipity* at scale using my IT background. 🤣 |