Content Tagged "ai-agents"
This page collects all articles and projects tagged ai-agents. Tags help you navigate by tool, theme, or topic—whether you're looking for content on specific technologies like n8n or Databricks, or broader themes like workflow automation or AI guardrails.
Content spans agentic engineering, production AI agents, data pipelines, and full-stack work. Browse other tags or case studies for applied examples.
Projects describe case studies with real outcomes—conversational analytics prototypes, AI feedback agents, and automated content pipelines. Writing posts cover implementation details, tool comparisons, and lessons learned. If you're looking for something specific, the writing index and portfolio offer alternative ways to explore.
Writing
Three Years of My GitHub Activity, Before and After AI Agents
analysis · · Updated
I pulled every commit, pull request and repository from the private side projects on my personal GitHub account for November 2023 to November 2026 and charted it month by month. After I started using AI agents every day, commits per month rose 851%, and commits without any AI trailer rose 210%. Here is the data, the milestones, and why activity is not the same thing as productivity.
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What is a Company OS?
analysis ·
A Company OS is an operating model for AI-assisted companies: intent, memory, agents, tools, approvals, and feedback — not a product install. Practitioner definition.
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What is Agentic Engineering?
analysis · · Updated
Agentic engineering is the discipline of designing and operating multi-agent systems that coordinate autonomously in production — definition, properties, and how it differs from AI engineering.
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