DORA metrics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
-
Why Product Engineers Are Transforming Software Delivery: Ownership, Speed, and Real Impact
Product engineers blend coding with customer insight, owning problems end to end and eliminating costly handoffs. By pairing continuous discovery with CI/CD, they shorten feedback loops…
-
Built for Your Biggest Days: How We Engineer Fair, Reliable Scale Without Downtime
Enterprise teams ask sharper questions about scale—and they should. I share how we handle 150k+ requests/sec, shard our source-of-truth data with Vitess and PlanetScale, and reshape…
-
How to Build Cost-Effective PR Review Agents In-House
A practical blueprint for building an in-house PR review agent that controls model spend, limits false positives, and improves review flow.
-
Battle-Tested AI Agent Orchestration Patterns for Reliable, Observable, Product-Ready Systems
Reliable agentic AI isn’t luck—it’s architecture, instrumentation, and disciplined release practices. In this guide, I share the orchestration patterns my teams use to deliver dependable, observable…
-
The Safety of Speed: 180 Deploys a Day, 12‑Minute Releases, 99.8%+ Availability
Speed and safety are not opposites—they reinforce each other when you ship in small, frequent batches. By automating our pipeline end-to-end, we move from merge to…
-
PMs and Developers Need Different AI Metrics—Here’s How That Builds Faster, Better Products
PMs and developers measure different layers of AI systems—and that’s a feature, not a bug. Developers focus on eval-driven development, latency, and reliability, while PMs focus…
-
My Proven Experimentation Playbook for AI PMs: Faster Learning, Safer Launches, Bigger Wins
Experimentation is not guesswork—it’s a disciplined system. In this playbook, I show how to pair A/B testing with eval-driven development to ship safer AI features and…
-
Quantitative Metrics vs. Qualitative Insight: How I Balance Data and Discovery to Grow Products
Numbers show what is changing; human insight explains why. I share a practical cadence for combining quantitative metrics with qualitative discovery to make sharper product decisions.…
-
Inside the Engine Room: How I Drive Scalable Analytics APIs, Reliability, and Performance
I share how I focus on the middleware and compute systems that power analytics at scale so teams can trust their data. I detail how overseeing…
-
AI Won’t Replace Engineers—Engineers Using AI Will: A Practical Playbook for Your Next Move
AI is automating tasks, not eliminating software engineers. The real opportunity is to shift from rote implementation to systems thinking, product discovery, and responsible AI Strategy.…
-
How to Build a High-Velocity Product Experimentation System
A practical operating system for turning small, safe releases into faster product decisions without sacrificing reliability, trust, or strategic focus.
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.