Essay
Building trust in distributed engineering teams
Trust in distributed teams is predictability: written decisions, obvious ownership, and defaults that work when the author is not in the room.
Essay
Trust in distributed teams is predictability: written decisions, obvious ownership, and defaults that work when the author is not in the room.
Distributed teams expose weak operating systems.
When work is colocated, people patch ambiguity with proximity. They overhear decisions and resolve small problems informally. Distributed teams lose that safety net.
Trust then depends less on culture slogans and more on system quality. I increasingly measure impact by what continues to work when I am not directly involved. That sentence is a distributed-work sentence even when people sit in the same city.
In engineering, trust has an operational component. People trust each other more when the system behaves predictably:
I work across platform architecture, integrations, developer experience, and AI-assisted workflows. Those domains already fragment context. If the only copy of the architecture is a conversation, remote or hybrid just makes the gap visible.
Managers often try to solve trust gaps with more calls. That helps a little if the design is already sound. If the system is weak, more calls increase switching and still leave people who missed the meeting behind.
Written communication matters because it makes intent portable. Specs, decision records, developer documentation, and runbooks are how trust scales past the people who happened to be on the invite.
This is knowledge leverage: systems that prevent context from living inside one person’s head. Public writing is the visible version. Internal writing is often the higher-leverage version.
Legal Intake’s spec-first planning was a trust mechanism. Reverse sync as a documented automation model is a trust mechanism. A Developer Portal that reduces “ask an engineer” is a trust mechanism.
Useful written systems include:
The goal is not to simulate an office online. The goal is a mode of working that stands without the original driver in the room.
Teams trust each other more when fewer things feel accidental. That is the same job as platform engineering, applied to how people coordinate.