DATANATION

● Insights · Point of view from the engineering floor

What we publish.

Engineering-floor point of view. Architecture, mobile, and agentic AI — opinions you can argue with and decisions you can ship on.

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Why most agentic AI projects will be canceled by 2027 — and the architecture that prevents that.
Agents

The 40% Problem

Gartner says more than 40% of agentic AI projects will be canceled by the end of 2027. The reason isn't the models — it's the architecture underneath them. Here's the order we engage every project in, and why.

6 min read

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Agents

MCP, and why it changes the agentic engineering job

Anthropic donated MCP to the Linux Foundation in 2025. By early 2026, OpenAI, Google, Microsoft, and AWS all support it; 64% of enterprises with 250+ AI engineers run their own internal MCP servers. Here's what that means for how agentic systems get built — and why the asset at the end of the project is no longer the agent code.

5 min read

Read →Cloud & Data

Snowflake vs. Databricks in 2026: a teardown

Snowflake and Databricks look more alike in 2026 than ever — both support Iceberg, both have SQL warehouses, both ship AI/agentic tooling. So when does each win? Five dimensions that actually differ, four scenarios where the verdict is clear, and one unfashionable opinion about running both.

8 min read

Read →Mobile

What we learned building QueueHamster

QueueHamster is the first product Datanation has shipped under our own name — a virtual queue management SaaS for independent service businesses, live in production since May 2026. Below: the four engineering decisions that mattered most, the one we surprised ourselves with, and the one we'd reverse if we were starting again.

7 min read

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