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
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 complete end-to-end System Design learning path covering fundamentals, distributed systems, scalability, real-world case studies, architecture patterns, and production-ready system thinking.
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+).
Production-grade Go building blocks for financial and distributed systems: idempotency, replay protection, circuit breakers, retries, HMAC auth, rate limiting, validation, hash-chained audit, webhook security.
Reference architecture for batch AI video generation: model routing, retries, per-video cost tracking and safety checks before spend.
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.
Tool for prototyping production systems structures
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.
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.
An atlas of AI-native production systems and domain operating layers
A structured DevOps path from Linux fundamentals to production clusters — every phase ships a real pipeline or running system, not just notes on theory.
Canonical engineering home, interactive 211-interview software craftsmanship oral history archive, 4D System Cartography case studies, and Principal Engineer resume.
Notes on Production Systems lectures
Public architecture and production-line design of Tradu, a distributed AI document processing platform.
Dockerized RTSP to Kafka ingestion template with hot-swappable config and production-ready operational behavior.
End-to-end ownership of production AI systems: architecture, risk management, execution, and scaling under real constraints.
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