The new Claude 4.6 "Agent Teams" feature finally solves "Context Rot" in massive data migrations. Unlike previous models that lose the plot halfway through a dbt project, these agents use "compaction" to summarize their own context and spin up fresh "teammates" for specific tasks without losing the high-level architecture. Read the full story on www.datapro.news 4.6 gives you sustained execution on long-running pipelines without hallucinating column names

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Anyone looking to brainstorm a dataset in detail? Algo trading or sports prediction? Nothing basic please. I already have detailed analysis ready.

Scammers just pulled off a $16 million crypto rug pull using hijacked AI agent accounts. Meanwhile, autonomous agents are trading "weaponised skills" on dark markets, including reverse shells disguised as innocent plugins. And some are storing your API keys in plaintext Markdown files. If you're running autonomous agents in your data pipeline, watch this first: