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Tenet Security researchers discovered Agentjacking, an attack that exploits Sentry error events to trick AI coding agents like Claude Code and Cursor into running arbitrary code. The attack injects crafted input into Sentry events, which agents interpret as legitimate diagnostic steps, exposing sensitive data without phishing or server compromise.
Sentry upgraded its ML model for grouping errors into issues. The new model prevents 20% more duplicate issues from being created and halves the rate of incorrect merges. The model uses a transformer-based text embeddings approach to balance undergrouping and overgrouping.

Sentry launched Snapshots in beta, a screenshot diffing tool for CI. It captures screenshots on every commit and blocks pull requests with unintended visual changes. The tool works for any platform with a frontend and aims to add visual coverage to modern codebases.
Sentry's SDK teams built a Claude skill to automate boilerplate setup for reproducing reported bugs. The skill generates a playground with correct parameters, reducing triage time and fatigue. Engineers stop the LLM if it cannot reproduce the issue, keeping the process efficient.
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