
Bugsnag
A customer reports app crashes while your support team hunts through dashboards. Your AI agent queries Bugsnag for matching errors, retrieves stack traces and impacted user counts, and provides answers in real time. Incident response starts in the chat window, not after three internal handoffs.




From listing production errors to tracking release health, your AI agent taps into Bugsnag's stability data and puts it directly into the conversations that matter most.
Bugsnag
How engineering, support, and product teams use AI agents to triage errors, verify releases, and protect customer experience through real-time Bugsnag data.
A customer messages 'The app crashes every time I open the settings screen.' Your AI Agent searches Bugsnag for errors matching the settings module and the customer's app version, finds a known NullPointerException with 2,300 events, and informs the customer the issue is identified and a fix is in progress. The customer gets a specific answer. Your support team avoids a redundant escalation to engineering.
After deploying version 4.2.1 to production, the engineering lead asks 'How is the new release looking?' Your AI Agent pulls the release group for production from Bugsnag, compares the error rate and session crash-free percentage against version 4.2.0, and confirms stability is within acceptable thresholds. Release validation that took 20 minutes of chart reading now takes one question.
A critical hotfix resolves a payment processing error that generated 47 individual error groups in Bugsnag. Your AI Agent collects all related error IDs, calls the Bulk Update endpoint to mark them resolved with the hotfix release tag, and confirms the cleanup. Engineering moves on to the next priority instead of clicking through each error manually.

Bugsnag
FAQs
The agent calls Bugsnag's List Errors endpoint with filters for the relevant project, app version, and severity. It matches the customer's description to error class names and messages. Once a match is found, it retrieves event details including stack traces, device info, and breadcrumbs for a complete diagnostic picture.
Yes. The Bulk Update Errors endpoint accepts an array of error IDs and an operation type. The agent can mark errors as fixed, change severity, assign them to a specific collaborator or team, and link them to an external issue tracker, all in a single API call for any number of errors.
Tars requires a Bugsnag Personal API Token, which you generate from your Bugsnag account settings under the authentication section. This token provides access to organizations, projects, errors, events, collaborators, and releases. You can revoke it at any time from the same settings page.
No. Tars queries Bugsnag's Data Access API in real time during conversations. Stack traces, error metadata, device information, and event details are fetched live. Nothing is persisted outside of the conversation context. Your Bugsnag account remains the only store of your application error data.
Yes. The agent retrieves release groups filtered by release stage from Bugsnag, then pulls error counts and stability scores for each version. It presents a side-by-side comparison so your team can quickly determine if a new release introduced regressions or improved overall stability.
Bugsnag's Slack integration sends one-way notifications when errors occur. Tars AI Agents are interactive. Your team can ask questions like 'What are the top errors in production right now?' or 'Resolve all errors related to the checkout module,' and the agent takes action through Bugsnag's API. Two-way conversation versus passive alerts.
The agent searches Bugsnag based on the customer's description and app version. If no matching error is found, it informs the customer that the issue has not been captured yet and can escalate to engineering with the full conversation context, create a manual incident report, or suggest the customer provide additional reproduction steps.
Yes. The Create Collaborator endpoint lets the agent invite users by email to your Bugsnag organization. You can specify project-level access and admin permissions. The new collaborator receives an invitation email and can start viewing errors immediately after accepting.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.