The latest incremental release of SysML v2. Start here.

What to Read to Learn More About DevOps

First Principles Framework (FPF): Pattern language and core specification for admissible action in problematic engineering, research, and mixed human/AI work.

Pilot implementation of the SysML v2 textual notation and visualization

Wind Plant Integrated System Design and Engineering Model

⚙️ System Engineering and Devops training module

Proof-of-concept pilot implementation for the Systems Modeling API and Services.

A Python package for the Systems Modeling Language (SysML) for Model-based Systems Engineering (MBSE) applications

A polemic on software design

Recipes for using the SysML v2 API

Design Structure Matrix Editor - An application for editing and designing Design Structure Matrices (DSM)

Java EE 7 Petclinic

Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.

A .NET implementation of the OMG SysML2 specification

Engineer specializing in distributed backend architectures, embedded systems, firmware development, and production-grade software design. Builds efficient, fault-tolerant systems with a focus on scalability and long-term maintainability.

The Specification for the System Architecture Framework (SAF)

Execution framework for multi-task model parallelism. Enables the training of arbitrarily large models with a single GPU, with linear speedups for multi-gpu multi-task execution.

A curated list of resources for ML Systems Engineering - hardware, compilers, distributed training, inference, and production operations.

🧠 A field guide to mnemonics for engineers: outages, RCAs, infra design, burnout, and conflict. Structured entries with when-to-use, pitfalls, combinations, and examples. Pipelines and playbooks for on-call situations.

The first open-source implementation blueprint for Intelligent AI Delegation. A deterministic runtime (DIR) and architecture for Responsibility-Oriented Agents (ROA) to bridge the gap between LLM reasoning and safe, auditable production execution.