01
Shipping a SaaS With Zero node_modules
What I learned building Vitrina — a WhatsApp-native website generator for local Mexican businesses — on a hand-written, zero-dependency Node backend, and why Meta nearly killed it overnight.
NOTEBOOK / 8 ARTICLES
Field notes, not victory laps.
Eight articles on load, latency, observability, agent infrastructure, and the constraints behind product work.
02
An Operating System for AI Agents
AgentOS runs a full org chart of role-based AI agents to take a product from a context pack to a deployed MVP. Notes from building it — and why the interesting problems are boring infrastructure problems.
03
Generating Load Tests From OpenAPI With LLMs
k6gen turns an OpenAPI spec into runnable k6 load tests using a deterministic core and a tightly-constrained LLM pass. Here's why the boring part matters more than the AI.
04
Why I Moved from Backend Engineering to Performance Engineering
The career arc from backend developer at a startup to Lead Performance Engineer at EPAM. What performance engineering really is, why it matters, and practical advice for making the pivot.
05
Observability Is Not Optional: How Monitoring Saved Us 40% Downtime
How building CloudWatch dashboards, S3 log exports, and automated alerting at SailPoint transformed incident response from blind firefighting to proactive resolution.
06
From 10 Seconds to 50 Milliseconds: A Performance Optimization Story
Diagnosing a 200x latency regression in Kubernetes on AWS. The investigation, the fix, and how it saved $100k in annual infrastructure costs.
07
What I Learned Running Load Tests at 100,000 Requests Per Second
Lessons from designing cloud-scale k6 load tests for a dealer auction platform. Distributed test execution, burst traffic simulation, and what New Relic actually tells you.
08
Building for 300k TPS at a Y Combinator Startup
The story of scaling a small fintech app after getting into YC Summer 2021. Node.js on GCP, auto-scaling challenges, and the tradeoffs that come with startup engineering.