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dbt-labs · Oct 18, 2024 · 4e3501f · 4e3501f
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diff --git a/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md b/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md
@@ -23,9 +23,6 @@ Is dbt Mesh a good fit in this scenario? Absolutely! There is no other way to sh
 - Onboarding hundreds of people and dozens of projects is full of friction! The challenges of a scaled, global organization are not to be underestimated. To start the migration, prioritize teams that have strong dbt familiarity and fundamentals. dbt Mesh is an advancement of core dbt deployments, so these teams are likely to have a smoother transition. 
 
   Additionally, prioritize teams that manage strategic data assets that need to be shared widely. This ensures that dbt Mesh will help your teams deliver concrete value quickly.
-- Bi-directional project dependencies -- currently, projects in dbt Mesh are treated like dbt resources in that they cannot depend on each other. However, many teams may want to be able to share data assets back and forth between teams. 
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-  We've added support for [enabling bidirectional dependencies](/best-practices/how-we-mesh/mesh-3-structures#cycle-detection) across projects.
 
 If this sounds like your organization, dbt Mesh is the architecture you should pursue. ✅