Yuval Yeret's Blog

What an agentic development lifecycle looks like when it is actually running Shay Mandel has spent his career on the boundary between engineering and product.

The first thing to change is who writes the artifacts, not how you work "We didn't change the process.

<!

The token cap is the least interesting number in your AI budget Somewhere in your company right now, someone is trying to decide whether an employee should get $100, $300, or $1,000 a month of AI spend.

Isn't it surprising that 10x coding doesn't move the needle that much?

Why is nobody using the AI agents you shipped?

import AIPrompt from ' /components/ui/AIPrompt.astro'; import { Content as PromptContent } from ' /data/prompts/why-focus-on-flow-metrics-prompt.md'; Start With The Expensive Problem Most teams do not wake up one morning wishing they had better flow metri…

import AIPrompt from ' /components/ui/AIPrompt.astro'; import { Content as PromptContent } from ' /data/prompts/calculate-kanban-wip-limits-ai-age-prompt.md'; Starting work has become easier.

import AIPrompt from ' /components/ui/AIPrompt.astro'; import { Content as PromptContent } from ' /data/prompts/outcome-framing-coach-prompt.md'; {/* copy-check: allow-staccato: Yuval typed this draft, so the short-paragraph rhythm is his own. */} When I…

Your portfolio process isn’t slowing you down by accident You built empowered product teams.

import AIPrompt from ' /components/ui/AIPrompt.astro'; import { Content as PromptContent } from ' /data/prompts/portfolio-to-product-shift-coach-prompt.md'; If you were in the room for "Product Orientation Through LPM: The Foundation for AI-Native SAFe,"…

<!

Who is actually throwing Scrum out I'm seeing organizations talking about spec-driven development.

<!

Why More AI Activity Is Not Showing Up In The Business You can 10x engineering and still not 10x the business.

<!

Building with AI: dream vs reality Have you tried coding with AI yet?

Navigating the opportunity-rich environment of the AI age, when your company is considering dozens of "finding AI gold" initiatives, requires discipline and product-orientation.

You scaled your team to 60+ engineers.

Why do most enterprise AI initiatives fail to deliver business value?