How Product Development Processes Should Change in the Age of AI Agents

How Product Development Processes Should Change in the Age of AI Agents#

2026-05-10

Product development with AI agents and harnesses

Work processes inside companies are changing quickly as AI agents enter daily operations. The company I work at is a technology-driven advertising operations company, broadly divided into an advertising operations organization and a product development organization.

The advertising operations organization manages advertising campaigns on behalf of clients. Recently, this group moved toward a GitHub-based workflow where advertising guidelines, skills, and brand data are organized as projects, and operators work conversationally with AI agents such as Claude Code or Hermes. This transition was accepted relatively naturally.

I Decided to Call Them Harness Skills — Breaking the Illusion of Doing Well and Opening Up My Harness

I Decided to Call Them Harness Skills — Breaking the Illusion of Doing Well and Opening Up My Harness#

2026-06-08

Harness Skills — selectively absorbing external skills into your own harness

Facing Things Without a Name#

When I first saw something called LLM Wiki, and then GStack, the first thing that came to mind was surprisingly: “What should I even call these?”

It was clear that both were means for handling AI agents better. From the perspective of harness engineering — the discipline of designing infrastructure to operate AI agents safely and reliably, which I covered in an earlier piece — these were obviously “tools you reach for when building a harness.”

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