Data lakes are the critical bottleneck for agents, argues Databricks-focused founder
teodorio · x · 2026-10-28
Founder teodorio argues the critical bottleneck for agents is where they find data. Agents can't run effectively on regular file formats, and their data exhaust will poison your context. He points to data lakes — BigQuery, Snowflake, Databricks — as the fix: universal storage for structured and unstructured data with compute, automation, and ingestion built in. His company is seeing heavy demand in this space.
More from coding & agent
- AI scientist who built 400+ agents maps 15 essential memory patterns, with open-source links — MaryamMiradi · 2026-10-28
- Agents built a custom inference engine: AMD MI350X serves GLM 5.3 FP8 37% faster than NVIDIA B200 — yisongyue · 2026-10-28
- Kiro explains how 3 engineers and agents keep 1,000 PRs a week stable with 80+ automated checks — rseroter · 2026-10-28
- Single vs multi-agent: same task, 4 setups, 3x cost gap measured — latent_lurker8587 · 2026-10-28
- Mapping the stack that gives agents inboxes, phone numbers and wallets — Similar_Confusion534 · 2026-10-28
- Solo dev's plan to work around Meta's WhatsApp error 3441038 with a fresh number — Fit-Stretch-182 · 2026-10-28