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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…
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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…
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Stop Blurring the Lines: Clear Product–Engineering Boundaries to Boost Quality and Prevent Burnout
Blurry lines between product and engineering lead to burnout, slow delivery, and quality problems. I share a practical model that restores clarity: product trios own the…
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Reliable AI Infrastructure: A Product Leader’s Playbook
A practical framework for exposing silent AI failures, hardening runtime paths, controlling releases, and turning SLOs into product decisions.
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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…
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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…
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25 High-Impact Career Paths for Software Engineers Beyond Coding: My Real-World Playbook
This first-person playbook shows how engineers can pivot into high-impact roles that go beyond coding while compounding their core strengths. I explain which skills transfer cleanly…
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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.…
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Agentic AI for Incident Response: A Practical Operating Model
A practical operating model for scoping, governing, evaluating, and rolling out incident-response agents without surrendering human control.
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