Sentry / sentry.io
AI-powered application error monitoring that automatically groups similar errors, identifies root causes, assigns issues to the right developer, and surfaces the most impactful errors to fix first.
Pricing
$26/mo
Free plan
Yes
Category
Developer Tools
Platforms
5
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
5
Sentry is the most widely used application error and performance monitoring platform, processing billions of errors from millions of applications globally. AI features elevate Sentry from a raw error log to an intelligent triage and prioritisation system.
Sentry AI auto-groups similar errors into coherent issues rather than flooding developers with thousands of individual error events — when the same bug triggers in a million user sessions, Sentry groups them as one issue with occurrence count rather than a million separate alerts.
Autofix, Sentry's generative AI feature, analyses an error trace, the relevant code, and the repository context to suggest a specific code fix. Rather than developers manually following a stack trace through source code to identify the root cause, Autofix proposes the change most likely to resolve the issue — reducing mean time to fix for common error patterns.
AI-powered issue prioritisation scores each error by user impact, frequency, and regression status — surfacing which errors are most worth fixing first rather than presenting an undifferentiated list of all errors. For teams triaging hundreds of issues, priority scoring focuses developer attention where it matters most.
Seer, Sentry's AI copilot for debugging, allows developers to ask questions about issues ('why is this error occurring in the checkout service?') and receive AI-generated explanations from the error data, traces, and code context.
Sentry AI runs as llm assistant software built around text and code workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, python, and javascript, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating Sentry AI.
AI analysis of error traces and code context generates specific bug fix suggestions, reducing manual root cause investigation and time to resolve production errors.
Groups similar error events from millions of occurrences into coherent issues with impact counts — preventing alert floods and presenting errors as actionable discrete issues.
Scores each issue by user impact, error frequency, and regression status — surfacing which errors most deserve developer attention from hundreds of potential issues.
Free plan (5K errors/month). Team $26/month. Business $80/month. Enterprise custom. Open source self-hosted available.
Model
Freemium
Starting price
$26/mo
Free trial
No
Datadog (covered) provides error monitoring within broader observability. New Relic (covered) provides error monitoring within observability. Rollbar provides competing error monitoring. Bugsnag provides error monitoring without the Sentry AI feature breadth.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Sentry
Platforms
Web, Python, JavaScript, Mobile, CLI
Deployment
SaaS, Open Source, Self-hosted
Integrations
GitHub, GitLab, Jira, Slack, Linear, VS Code, API
Team Collaboration
Yes
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted option for sensitive code data.
Error events and stack traces transmitted to Sentry's cloud for AI analysis. Self-hosted open source deployment keeps all error data on customer infrastructure. Review Sentry's privacy policy for PII in error events.
Editorial Verdict
Sentry is the standard AI application error monitoring platform for software development teams, with Autofix AI bug fix suggestions and Seer debugging copilot reducing mean time to resolution for production errors.
Last verified July 24, 2026.
Free plan (5K errors/month). Team $26/month. Business $80/month. Enterprise custom. Open source self-hosted available.
Free plan (5,000 occurrences/month). Essentials $19/month. Advanced $99/month. Enterprise custom.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted option for sensitive code data.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Error events and stack traces transmitted to Sentry's cloud for AI analysis. Self-hosted open source deployment keeps all error data on customer infrastructure. Review Sentry's privacy policy for PII in error events.
Error event and telemetry data processed on Rollbar cloud. Error payloads may contain user data — configure data scrubbing for PII in error events.
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