Our documentation site now loads significantly faster with improved search capabilities, including Command-K navigation and automatic llms.txt generation that helps AI tools better understand and reference Honeybadger's docs.

You can now add response header checks to your uptime monitors to verify that specific HTTP response headers contain expected values.

We're making it easier to build custom dashboards that adapt to your workflow.

Announcing performance monitoring instrumentation and dashboards for Python developers.

When querying notice events in Honeybadger Insights, you can now click on the fault_id or ulid fields to jump directly to the corresponding error—making it faster to investigate issues.

You can now export your error details and stack traces as Markdown files—useful for creating documentation, sharing with team members who don't have Honeybadger access, or integrating with AI-workflows.

Account owners can now require multi-factor authentication (also known as two-factor authentication, 2FA, or MFA) for all users—useful for compliance and to improve account security.

We added new timeout configuration option for uptime checks to gives you more control over how long your uptime checks wait for responses from your endpoints.

The Linear integration can now link Honeybadger errors to existing Linear issues—useful for preventing duplicate issues when an error corresponds to work that's already in progress.

Refer new Honeybadger customers to get up to 20% of referred revenue as credit towards your bill.