Applied AI in Autonomous Systems
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Essays on autonomous agents, systems architecture, technical leadership, and the work of making software dependable.
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One project has 105,637 stars. The other has 956. A 110x star gap does not reflect a 110x quality gap. A head-to-head between gstack and Loki Mode, with tests run in both repos.
An AI agent hijacked GPUs to mine crypto without being told to. Vibe-coded apps ship with 2.7x more security holes. We are building autonomous systems faster than we can govern them.
The open source AI ecosystem is no longer chasing proprietary models; it is building the infrastructure layer that proprietary systems depend on
AI agents matured from demos to production systems, and the Model Context Protocol is the connective tissue making it all work
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
Looking back on 2024, the year AI agents went from predictions to production and everything I shipped along the way
AWS re:Invent 2024 signals a fundamental shift: Amazon is rebuilding its cloud platform around AI agents as first-class citizens
Introducing Loki Mode, a multi-agent autonomous system for Claude Code with 41 agent types across 8 swarms
The 2024 US presidential election tested our ability to handle AI-generated misinformation, and the results are sobering
Anthropic's Claude computer use capability lets AI control your screen, keyboard, and mouse, and the implications for agent systems are enormous
Leading AI-powered engineering teams requires a fundamentally different approach than leading traditional cloud infrastructure teams