Root cause from the error
Seer investigates new issues and traces the root cause through your codebase, starting from the stack trace.
Compare · Tore vs Sentry Seer
Seer fixes what Sentry sees.Tore also talks to who hit it.
Sentry Seer is a strong engineering tool: it starts from your error stream, traces the root cause through your code and drafts the fix. Tore runs that loop too, and also answers the customer who wrote in and tells them when it is fixed.
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Same bug, two ways · Acme Corp invoices
Example dataWith Sentry Seererror tracking + fix agent
New issue in SentryTypeError in invoices/pdf.ts · after deploy
AI agentSeer traced the root cause through the codebase and drafted a fix.
Pull request ready for reviewfor your engineers
Tomas · Acme Corp · emailMy invoice PDF downloads as a blank page.
Next step: someone in support replies to Tomasoutside this tool
With Toresupport + engineering, one thread
Error grouped from your error trackerTypeError in invoices/pdf.ts · 1 group
Tore AIInvestigation opened from the error stream.
Root cause foundinvoices/pdf.ts:88 · font not loaded before render
Fix written, tests pass+4 −1 · 22 tests
Tomas · Acme Corp · emailMy invoice PDF downloads as a blank page.
Tore AIThanks, Tomas. We found this one already and a fix is with our engineer now.
Approved by Alex · Tomas told it is fixedsame thread
Where Sentry Seer is strong,and when to pick it instead.
Seer sits inside Sentry, next to the errors your engineers already watch. If you want automated root causes and fixes on the engineering side, it is a genuinely strong choice.
Fixes ready for review
It drafts a fix and can have a pull request waiting for review. You can let it run on issues it believes it can fix.
Code review against production
Seer reviews pull requests against production data and flags changes likely to cause problems.
Works where engineers work
Fix bugs from Slack alerts, or send a fix to Claude, Copilot or Cursor to carry on.
Pick Sentry Seer when
You want automated fixes on the engineering side and run support in a separate tool.
- Your engineers already live in Sentry.
- Most of your bugs show up as errors before anyone writes in.
- You want automated code review against production data.
- Support runs in its own tool, and that works for you.
Tore vs Sentry Seer,across the support to fix loop.
Both start from your error stream and work in your code. The difference is the customer: Tore also answers the person who hit the bug and tells them when it is fixed.
Tore
- Support inbox: yes
- In-app bug capture: yes
- Starts from your error stream: yes
- Investigates your code: yes
- Opens the pull request: yes
- Feedback board and roadmap: yes
- Tells the reporter it shipped: yes
Sentry Seer
- Support inbox: no
- In-app bug capture: no
- Starts from your error stream: yes
- Investigates your code: yes
- Opens the pull request: yes
- Feedback board and roadmap: no
- Tells the reporter it shipped: no
| Step | Sentry Seer | Tore |
|---|---|---|
| Answers customers | Not part of it | Answers from your help center with the article cited, across email, chat widget and Slack. |
| Hands over to a person | Not part of it | Hands over with the full conversation when it is not confident. Anyone can take over at any moment. |
| Bug capturereplay, console, network | Sentry itself offers a user feedback widget, which can link a session replay. Seer works from the issue. | Reports from the chat widget arrive with replay, console and network attached. Bug capture |
| Investigation in your code | Traces the root cause through your codebase. | Reads the repository you connect and finds the root cause, down to the file and line. |
| Fix and tests | Drafts a fix from the stack trace. | Writes the fix and runs your tests. Your engineer can request changes in plain words. |
| Pull request for approval | Pull requests ready for your review. | Preps the pull request. By default it waits for your engineer's approval. |
| Customers told it is fixed | Not part of it | Everyone who reported it is told automatically when the fix is live. |
| Model choice | Can send a fix on to Claude, Copilot or Cursor. | The right model for each job, from Claude, Codex, Gemini, Grok and more. You can set it per task. |
| Proactive errors | Runs on new issues from your error stream, and can run fixes on its own when you allow it. | Errors from your error tracker are grouped by fingerprint and can open an investigation before anyone writes in. |
Based on Sentry Seer public pages (sentry.io, docs.sentry.io), checked 2026-10-30. Products change: if we have something wrong, tell us and we will correct it. For plans and pricing, see Tore pricing.
Desks answer but don't fix.Coding agents fix but never talk.
Most teams keep the crash reports in one tool and the customer conversations in another. The error tracker knows exactly which line threw; the customer who hit it is still waiting in the inbox.
Support desk
Talks to the customer
Intercom, Zendesk and help desks like them. Great at the conversation, then the bug leaves the thread.
- Answers and hands over
- Reads your code
- Writes the fix
Tore
One thread, both sides
The conversation, the investigation and the reply live together, so nothing is retyped.
- Answers and hands over
- Reads your code
- Writes the fix
Coding agent
Works in your code
Sentry Seer and AI engineers like it. Strong at the fix, but the customer never hears from them.
- Answers and hands over
- Reads your code
- Writes the fix
The customer half
The person who reported it hears back.
Tore keeps the conversation, the investigation and the fix in one thread. When the fix is live, everyone who reported the bug is told, on the channel they used.
- Repeat reports grouped into one ticket
- Replies drafted from what actually changed
- Anyone on your team can step in at any moment
app.tore.ai/acme/inbox
Example dataFix approved by Alexdeployed to production
Live3 reports linked to this fixchat widget, email and Slack
Tomas told it is fixedAcme Corp · same thread
Ticket closed2 more reporters updated
Questions people askbefore switching.
Is Seer better on the engineering side?
Seer lives inside Sentry, next to your errors, traces and replays, and it adds code review against production data. If your engineers already work in Sentry and support runs elsewhere, it is a strong choice. Tore works with the error tracker you already have.
Can Tore work with Sentry?
Yes. Connect your error tracker and Tore groups errors by fingerprint and opens one investigation per group, within the budget you set. The customer reports that come in later join the same thread.
Does Tore change our code without asking?
By default it waits for your engineer's approval. Your engineer can request changes in plain words, and Tore revises the fix and re-runs the tests. You set how much it does on its own, per repository, in AI controls.
Which AI models does Tore use?
The right model for each job: a fast model for quick answers, deep reasoning for root causes, a coding model for fixes. You can let Tore choose or set it per task. During early access, you can also bring your own AI keys.
How does the price compare?
Plans, what is included and how the AI is billed are on the pricing page.
Keep comparing.
Fix the error.Tell the customer too.
Tore starts from your error stream, writes the fix for your engineer to approve, and tells everyone who hit the bug when it is live.