Seer: Debug faster at every stage of development

Seer is the AI debugger that uses Sentry context – like errors, traces, logs, replays, and commit history– to flag breaking changes, automatically root cause issues in production, and fix what you missed.

Catch the worst bugs before they ship

In GitHub, Seer automatically checks your PR for mistakes that would likely cause significant issues in production – think security issues, errors, and major performance problems. 


Seer’s AI code review checks potential bugs in your PR against real issues that have happened in production to make sure its reviews are all signal, no noise.

Read more in docs

Automatically root cause any issue

Tracking down the root cause is the worst part of debugging. Seer analyzes all the issue context for you, using everything Sentry knows about the issue (stack traces, event history, logs, replays, traces, profiles) to pinpoint the cause.

Seer can also suggest a fix, and you choose whether to apply the patch yourself, let Seer open a PR, or send it to your coding agent.

Read more in docs

Debug as you build

Sentry’s MCP brings Seer debugging into your local environment. 

As issues pop up in development, you can instantly debug them with Seer, before they have a chance to reach production.

Seer puts Sentry context to work for you

Works with your stack

Seer works with pretty much all programming languages and frameworks, from Assembly to Zig, passing through all stacks supported by Sentry: including web, mobile, and desktop.

Works with distributed systems

Seer leverages distributed tracing data to understand your solution even when it spans across multiple, distributed systems. It can propose fixes that impact more than one repository at a time.

Works wherever you work

Seer doesn’t just live in Sentry’s UI. It gives you automated, low-noise PR reviews in GitHub, and connects to your AI-enabled IDE to work alongside you as you build.

Context: Go from "an answer" to "the answer"

Seer is the only AI debugging agent that has access to all the context available to Sentry, including the details of the error, stack traces, environment information, logs, breadcrumbs, traces and spans, and your source code–the whole codebase even across multiple repositories. By sorting through all this data, Seer provides more accurate and complete solutions.

Privacy by default

Your data belongs to you.

Seer does not use your data, including your application's error information and source code, to train generative AI models, and AI-generated output from your data is shown only to you, not other customers.

FAQs

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