Now

Leading DevOps and cloud infrastructure at a major financial services company. Currently focused on integrating AI agents into our engineering workflows and exploring how autonomous systems can transform infrastructure operations at enterprise scale.

Building and maintaining cloud infrastructure across AWS and Azure, with a focus on self-healing systems, cost optimization, and security automation.

Just shipped two posts on the biggest debate in AI tooling right now: MCP servers vs. Agent Skills, when to use each, and why context engineering is just FinOps for your AI agent.

Earlier this year: the 12-team AI coding audit findings, a GPT-5 vs Claude Opus 4.7 production benchmark, and the $47K AWS bill a Claude Code hook caught at 2 AM.

Read my latest posts →

Deep-diving into AI agent architectures, how autonomous coding agents work, their limitations, and how to build reliable agentic workflows for infrastructure management.

Exploring RAG (Retrieval Augmented Generation) patterns for DevOps knowledge bases and incident response automation.

Maintaining Awesome DevOps AI, now at 219 curated AI tools and growing weekly. The 60-day update is in this post.

Also actively shipping the Self-Healing Infrastructure toolkit, Claude Code DevOps Toolkit, and the RAG Ops Knowledge Base.

Shipped 86 free browser-based AI & DevOps tools. No sign-up, no tracking. 85 of the 86 run 100% client-side; the Weather Widget queries the free Open-Meteo API.

Recent additions: the CLAUDE.md Generator, Claude Code Hooks Builder, MCP Server Config Builder, NAT Gateway Cost Calculator, OpenAI to Anthropic SDK migrator, and the Postgres EXPLAIN index recommender.

See my projects →

The future of software engineering in the age of AI. How the industry will adapt when AI can handle the majority of coding tasks. What it means for economic structures when knowledge workers are displaced at scale.

Self-sufficiency, real-world skills, and what it means to be prepared for a rapidly changing world.