Logic Production System (LPS) programming language interpreter implemented in JavaScript for Node.js and browsers.
MIRROR of https://codeberg.org/catseye/Samovar : Model worlds using propositions and run simulations in them
Documentation for the TriplyDB and TriplyETL products
Logic Production System (LPS) CLI Toolset using lps.js
Official companion repository for Designing Scalable, Reliable Data and AI Systems for Production — architectures, code, templates, and production frameworks.
A public repository of technical case studies examining the operational challenges faced by technology platforms in Africa as they scale, handle outages, and maintain reliable systems.
This repository documents realities that surface only after scale,authority,and commitment eliminate reversibility—where decisions ossify into structure, costs compound beyond instrumentation, failures persist without incident,accountability diffuses,and systems continue operating long after meaningful correction has become structurally impossible.
Curated collection of production-grade engineering system designs, backend patterns, DevOps architectures, data pipelines, and scalable infrastructure examples inspired by real-world systems like Netflix, Google, and Uber.
A curated collection of papers describing real-world production systems from top systems conferences (2020+).
Tool for prototyping production systems structures
An atlas of AI-native production systems and domain operating layers
Public architecture and production-line design of Tradu, a distributed AI document processing platform.
A structured DevOps path from Linux fundamentals to production clusters — every phase ships a real pipeline or running system, not just notes on theory.
Notes on Production Systems lectures
A structured, no-fluff reference for Full-Stack Web Development and AI Engineering. Built for developers transitioning to senior roles or pivoting to AI. Covers system architecture, RAG, LLM orchestration, and scenario-based interview questions with practical code, not academic theory.
Cloud-native, scalable & enterprise-grade schema-driven Master Data Management engine built with FastAPI, Prisma (Python), & PostgreSQL, paired with a Next.js TypeScript admin UI. Delivers dynamic, metadata-aware, allow-listed CRUD, pg_catalog introspection, data validation, paginated search, stateless REST APIs, & production-ready cloud governance
Cloud-native, scalable & enterprise-grade schema-driven Master Data Management engine built with FastAPI, Prisma (Python), & PostgreSQL, paired with a Next.js TypeScript admin UI. Delivers dynamic, metadata-aware, allow-listed CRUD, pg_catalog introspection, data validation, paginated search, stateless REST APIs, & production-ready cloud governance
NOEME — screenplay pilot
End-to-end ownership of production AI systems: architecture, risk management, execution, and scaling under real constraints.
Systemic Assessment of Node Failures in HPC Production Platforms
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