2025: The Year I Went Full Loki Mode
A year-end reflection on leaving the corporate world, building open source full-time, and what it means to bet your career on autonomous AI systems
Thoughts on engineering leadership, distributed systems, architecture, and the craft of building software.
A year-end reflection on leaving the corporate world, building open source full-time, and what it means to bet your career on autonomous AI systems
The final quarter of 2025 brought consolidation, enterprise maturation, and the emergence of agent infrastructure as a recognized category
After attending AWS re:Invent for a decade, reflections on how the conference, the cloud industry, and my own perspective have evolved
MediCompanion is an open source AI health companion designed for patient education and chronic condition management, with safety as the foundational constraint
The most important AI developments from July through September 2025, from autonomous coding breakthroughs to regulatory shifts
Introducing Autonomi, the parent framework that unifies Loki Mode, LokiMCPUniverse, and the broader ecosystem of autonomous AI tools I have been building
As autonomous AI systems become more capable, the safety conversation needs to move from theoretical concerns to practical engineering constraints
Google's Agent-to-Agent protocol and Anthropic's Model Context Protocol are complementary, not competing, and together they define the agent infrastructure stack
Why I enrolled in MIT's professional education program for AI and machine learning, and what I expect to gain as a practitioner who builds AI systems daily
A technical deep dive into how Loki Mode orchestrates 41 specialized AI agents across 8 swarms using the Reason-Act-Reflect-Verify cycle
The Model Context Protocol is evolving from a specification into an ecosystem, and the marketplace model will define how AI agents access the world
Loki Mode v5.0 introduces provider-agnostic orchestration across Claude, Codex, and Gemini CLI with zero architecture changes
DeepSeek R1 proves that frontier AI research is no longer exclusive to Silicon Valley, and open source is the accelerant
If you lead engineering teams and you are not building with AI tools yourself, you are making decisions based on other people's understanding