Engineering essays from the bench.
War stories, architecture decisions, and the occasional tirade. Written by the engineers who shipped it.
Why We Built Trinetra: Moving Away From Prometheus Complexity
Why we built Trinetra instead of running Prometheus, Grafana and Alertmanager or paying Datadog, what each option really costs, and when Prometheus is still right.
Is Your Supabase Data Public? RLS Checks Before Launch
Test whether your Supabase tables are readable with your public key, turn on RLS the right way, close the bypasses, and fix 42501 before October 30.
Is AWS Overkill for a Small Startup? When a VPS Is Enough
When one VPS is enough for a startup and when AWS earns its cost: a decision table by stage, a minimum production VPS setup, and a cheap path to AWS.
Zenith AI: Spam Filtering and Lead Scoring for Web Forms
Zenith AI screens every web form submission: eight anti-abuse layers, a spam score, lead tier, sentiment, urgency and a draft reply. How it works.
MVP Development: How to Scope, Build and Ship an MVP
How to build an MVP that tests one real assumption: scoping with a cut list, a week-by-week build plan, what must be production-grade, and launch checks.
SaaS Pricing Implementation: Metering, Entitlements, Billing
How SaaS teams implement pricing in code: a versioned plan catalog, idempotent usage metering, an entitlement service, Stripe webhooks and dunning.
Technical Debt Management: When to Pay It Down and When to Ship
Learn how to identify, measure, and strategically manage technical debt so it accelerates your team instead of slowing it down.
Scaling a Startup on AWS: A Cost-Conscious Architecture
A startup AWS architecture that starts lean and scales by symptom: day-one foundations, ECS on Fargate, Terraform, NAT and database traps, cost controls.
How to Choose a Tech Stack for Your Startup
A decision framework for a startup tech stack: which choices are hard to reverse, default stacks by product type, a one-week spike and an ADR template.
Running High-Performance Remote Engineering Teams
A practical guide to building high-performance remote engineering teams with async communication, documentation culture, tooling, and effective management.
