Releasesby IbisNav3 Support on the Android SDK
UpdateyesterdayUnverifiedAdded Oct 14, 2026
The Android SDK can now instrument Nav3 back stacks to capture navigation transactions, breadcrumbs, screen names, and more.
Topics: Developer tools
More Sentry releases
Every Sentry releaseRust SDK 0.49.3: Native crash reporting
The Rust SDK can now report native crashes, such as segfaults in unsafe code, to Sentry.
Search logs with regular expressions
Sentry Logs search now supports regular expressions (regex), so that you can search log lines that match a pattern, not just by the exact text.
Agent Tracing improvements for JavaScript SDKs
The JavaScript SDKs now trace more AI frameworks, providers, and classifiers across Node.js, Bun, Cloudflare, and Deno, with more consistent data in traces.
Detect Android Memory Limiter kills
The Android SDK can now report process deaths caused by Android 17's Memory Limiter as fatal Sentry events.
scraps@0.1.0
- Publish the first curated Scraps entries for themes, tokens, layout, typography, separators, quotes, loaders, inline code, and keyboard key labels.
Connect Sentry to Origin
Connect code hosted in Origin to Sentry
Sentry MCP: Manage Alerts and Metric Monitors, link external issues
Agents using Sentry MCP can now create, edit, and delete Alerts and Metric Monitors, link external tickets to issues, and see the suspect commit in issue details.
Seer Agent now manages more of Sentry for you and connects to external telemetry
Seer agent just got a lot more powerful. Now you can have the agent manage more of your Sentry projects for you and integrate third-party data sources, like Datadog and Google Cloud Platform, to help you better diagnose issues.
Also shipped on Oct 13, 2026
Sentry in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .