An agent can keep running even after details embedded in its instructions have gone stale. Ospina's harder question is whether richer context can also make a model more likely to agree with the people it is supposed to help challenge.
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A page can make perfect sense to a person while leaving an AI system uncertain about what is current, authoritative, or safe to use. Will Huggins argues that Drupal's structured content and access controls can narrow that gap.
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Agencies can now connect existing GovCMS sites with machine-executable policy rules while maintaining and versioning those rules separately from the front-end interface.
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Maintainers of patch-heavy Drupal sites can spend significant time checking module compatibility and whether existing fixes still apply. Drupal-Code-Query now exposes several of those checks to LLM agents and direct API clients.
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An HTMX interaction does not always need Drupal's full page output. Duncan shows how core can return the requested content and required assets while keeping cache variants separate.
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The migrations expose different replatforming pressures, from preserving two decades of community data to rebuilding paywalls and audience segments.
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The partner model gives Drupal agencies a structured way to fund upstream AI work while gaining earlier familiarity with capabilities under development.
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