Data and AI releases

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Seer can send bugs to GitHub Copilot for the fix. Now in open beta

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Coding agents

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Also shipped May 14, 2026Sentry in May 2026 →

Code Intelligence

Code Intelligence gives Linear Agent controlled access to your codebase, turning repositories into shared product context your whole team can use. With Code Intelligence, Linear Agent can reason about how your product actually works, not just what’s captured in issues, projects, and docs.

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Weights & Biases 0.27.0

Notable Changes This version drops support for Python 3.9 and Pydantic v1. Pydantic v2.6 or newer is now required. Added The stop_on_fatal_error setting to stop a run (using stop_fn ) after a fatal error that prevents it from uploading metrics ( @timoffex in #11774 ) New wandb.sandbox package and the wandb beta sandbox cli for using wandb sandbox (...

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Key Features

- Natural scene extension , Carries lighting, texture, depth, and composition past the original frame Flexible canvas control , Direct width / height and reference placement via reference_offset_x / reference_offset_y Up to 4MP output , Production-ready resolutions for banners, social formats, and aspect-ratio changes No prompt needed , The model continues...

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More from SentryEvery Sentry release →

Sentry 26.5.0

New Features ✨ Aci Add organizations:workflow-engine-metric-alert-endpoints-delete flag to allow deletes in the legacy API in #115382 Add deprecation headers to legacy rule endpoints in #114080 Add a warning banner for no connections on an Alert Agent Ui Track analytics event when explorer session times out Add session timeout detection Autofix Add feature...

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AI Conversations Now in Open Beta

Conversations is now in open beta for all Sentry users. It gives you a readable view into past sessions with your agent, showing the full exchange of messages and tool calls so you can understand exactly what happened during each session.

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Application Metrics are now GA

Sentry’s Application Metrics are now GA. They're high-cardinality and trace-connected. Tag a metric with user ID, region, plan type, or any attribute you care about, and slice by any of them at query time so you can ask questions about your application or users. When something spikes, you get the connected trace, log, or error to find out why

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