The problem
You are the source of truth, and it does not scale. Why on-call works the way it does. Who owns the payments service now. What the team decided about the migration and why. New engineers ask you. New AI chats know none of it. So the same context lives in your head, a few Slack threads, and one doc nobody can find.
Write the team's context down once, for people and their AI
Put decisions, process, ownership, and runbooks in a shared team space. Connect it to Claude or ChatGPT through MCP, and every engineer's assistant reads the same notes. The reasoning behind how your team works stops being tribal knowledge.
What an engineering manager keeps shared
- Decisions folder: why you chose X, what you tried and rejected, the tradeoffs behind past calls
- Process folder: on-call, releases, incident response, review expectations
- Ownership map: who owns which service, who is backup, escalation paths
- Onboarding folder: the unwritten context every new hire needs in week one
You stop being the bottleneck
A new engineer connects their own AI and asks how deploys work, why the team moved off Redis, or who owns a service. It answers from your notes instead of interrupting you or a senior engineer. Personal notes stay personal; only what you put in the team space is shared, and per-folder roles decide who can edit what.
Your team's context lives in your head. It doesn't have to.
What engineering managers keep in Hjarni
- Decision logs: the reasoning behind architecture and process calls, so nobody relitigates them
- Runbooks and process: on-call, releases, incidents, and reviews the whole team follows
- Ownership and escalation: who owns what and who to reach when something breaks
- Onboarding context: the tribal knowledge that usually takes a new hire months to absorb
- Team AI instructions: folder-level rules every engineer's assistant inherits
A shared brain, not another wiki
A wiki decays because people skip it. This does not, because your team's AI reads it when someone asks, so keeping it current pays off the moment they ask their assistant instead of you. Put architecture, decisions, and runbooks in a shared team space and every engineer's Claude or ChatGPT works from the same source. See Hjarni for Teams, or the step-by-step set up your team guide.