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3 articles
The architecture works at small scale. Now what happens when event volume multiplies, memory stores grow to millions of experiences, and the system needs to run across multiple environments? The real scaling challenges begin here.
The AI compute crunch is squeezing independent builders out of frontier research - and the ecological and policy costs of the infrastructure boom are making it worse.
The Cognitive Substrate needs to ingest a constant stream of events from many different sources - telemetry, tickets, Slack, logs. Here is why Kafka is the right foundation for that, and what I quickly learned it was not enough on its own.
Accept to save reading progress, unlock continue-where-you-left-off, and allow a hosting-support ad at the end of posts. Anonymous session signals still help the live memory panels; we never publish reader IDs.
