Agents are writing a ton of Spark code these days. Most of it is error-ridden, and the…
This is a dev post classified by AGK Intelligence as AI dev tools (a free resource), kept by the Dev Radar because it carries real work, not commentary.
Agents are writing a ton of Spark code these days. Most of it is error-ridden, and the errors are the boring kind: a column that doesn’t exist, a table nothing upstream declares, a session config invented from thin air. At OSA Con 2026, @lisancao (@databricks) will cover declarative pipelines so structural mistakes get caught before data moves, Spark Connect so session context and credentials stay out of the agent’s hands, and skills and prompts that make one-shots more successful. She’ll also cover the tradeoffs between model choice, tokens, and deployment infrastructure. 🗓️ Monday, Novembe
Posted by Apache Spark (44.8k followers) 3 days ago · 33 likes · 2.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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