Tech – Tools & craft – Notion

Summary

Notion’s engineering collection covers tools, product design, infrastructure, security, and data systems across a set of technical posts. It opens with an inside look at the hosted Notion MCP server, created in response to requests for AI agents to work directly with Notion workspaces; the path described runs from an open-source experiment to a hosted solution with custom tools for AI workflows. Other entries describe Lore’s conversion of conversations, decisions, tasks, and durable facts into Notion pages, a Spark-native lexical-search reindexer, and multi-region systems for search, analytics, AI, and event logging. The collection also reports CI guardrails for schema changes, security testing for Custom Agents, vector-search scaling by 10x with costs reduced by 90%, Spot Balancer for Spark on Kubernetes, and the architecture and data model behind Offline Mode.

Takeaways

1. 1

   Notion’s hosted MCP server evolved from an open-source experiment into a hosted solution with custom tools for AI workflows.

2. 2

   The lexical-search reindexer replaced a manual, multi-week indexing process with a Spark-native pipeline described as faster, safer, and easier to run.

3. 3

   Spot Balancer, open-sourced with AWS, reduced Spark compute costs by up to 90% while maintaining reliability.