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No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracle

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youtube.com
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AI Engineer
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Context

Faster individual coding can leave a distributed team struggling with the same handoff problem: colleagues receive changes without the reasoning behind them. A conference account of a transatlantic engineering team uses that problem to argue for shared memory that preserves decisions across sessions and people.

The proposed benefit is continuity. Recording what happened, which procedure was followed, and what a decision meant gives the next person or agent to resume the work. The speaker also argues for consolidating storage to reduce reconciliation between separate systems. These are design arguments for preserving team knowledge, rather than measured productivity results.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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