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TUR Tech Pulse — follow updates from the tools I use and recommend. Occasional, curated.

Content Tagged "agentic-engineering"

This page collects all articles and projects tagged agentic-engineering. 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 hockey analytics.

Content spans agentic engineering, production AI agents, data pipelines, full-stack work, and hockey analytics. Browse other tags, topics, or case studies for applied examples.

Projects describe case studies with real outcomes—conversational analytics prototypes, AI feedback agents, automated content pipelines, and hockey analytics dashboards. Blog posts cover implementation details, tool comparisons, and lessons learned. If you're looking for something specific, the blog index and portfolio offer alternative ways to explore.

Blog Posts

What is Agentic Cost Engineering?

analysis · · Updated
Agentic cost engineering is the practice of routing each agent task to the cheapest capable model and role — then measuring ROI with failure priced in. Not generic AI spend tips.

Semi-Automated 24/7 Cursor + GitHub Learn Loop — What I Run Day-to-Day

field note ·
After go-live: feed agent:ready issues, approve PRs from GitHub Assigned, promote learn:candidate into rules — semi-auto 24/7, not a merge factory.

Routing Tables for Content and Data Agents

field note ·
Copy-ready routing tables for content and data agents — task lanes, model tiers, and approval gates using the same A–D discipline as coding agents.

What is Agentic Engineering?

analysis · · Updated
Agentic engineering is the discipline of designing and building systems where multiple AI agents coordinate autonomously to accomplish goals — without a human triggering each step. Here's what that actually means when you build it in production.