Engineering Management — Page 7 of 7
Browsing page 7 of 7 — 79 articles on engineering management.
Scaling from 3 to 30 Engineers: The Processes That Help and the Bureaucracy That Kills
Growing an engineering team from 3 to 30 people breaks things in predictable ways at predictable sizes. This guide covers what breaks at each inflection point, which processes to introduce and when, and which ones to avoid until you actually need them.
Managing Technical Debt: A Practical Framework for Startup Engineering Teams
Most startup teams treat technical debt as a single category of bad code. It is not. This guide covers how to classify, quantify, and pay down debt strategically so you ship faster without accumulating the kind of debt that eventually stops a team cold.
Error Budgets for Startup Teams: Ship Faster Without Breaking Production
Startups need speed, but speed without reliability discipline compounds hidden costs. This guide explains how to implement practical SLOs and error budgets in small teams so you can release faster with less production chaos.
Hiring Your First Engineer: What Most Startup CTOs Get Wrong
Most founder-CTOs optimize for technical skill when hiring engineer #1 and overlook the traits that actually predict early-stage success: ambiguity tolerance, ownership instinct, and velocity without supervision. This guide covers role definition, sourcing, practical evaluation, red flags, comp structuring, and onboarding.
On-Call for Startups: How to Build a Sustainable Rotation Before You Burn Out
Early-stage teams usually run incident response through heroics and Slack chaos. This guide shows how to design a practical on-call system with escalation rules, severity definitions, runbook standards, and post-incident process that works with a tiny team.
Technical Decision Records: How to Make Decisions That Stick
Most engineering teams make important technical decisions in Slack threads or someone's head. When that context disappears, the same debates repeat. This covers what ADRs are, a practical template, when to write one vs when it's overhead, and how they change team dynamics around disagreement and ownership.
When to Build vs. Buy: A Framework for Startups
A practical decision framework for startup CTOs and founders choosing between custom code and off-the-shelf tools, covering total cost of ownership, integration debt, vendor lock-in, the build trap, and when custom software is actually a competitive advantage.