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Sentry Seer AI logo

Sentry Seer AI

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#Debugging#Creativity#Software#Coding

Overview

Sentry Seer AI - Screenshot showing the interface and features of this AI tool
  • Catch breaking changes before they reach users by automatically scanning Pull Requests for security vulnerabilities, performance bottlenecks, and errors using AI analysis.
  • Pinpoint the exact root cause of live production issues by analyzing all available context, including stack traces, event history, logs, replays, and distributed traces.
  • Receive actionable code fixes for identified problems, with the final decision to apply the patch always remaining in your control.
  • Maintain full data privacy as your application's error information and source code are never used to train external AI models.
  • Apply consistent debugging across your entire stack, as the tool operates seamlessly across different programming languages, frameworks, and distributed systems.

Pros & Cons

Pros

  • Covers development cycle stages
  • Flaw detection in development
  • Scans Pull Requests
  • Security vulnerabilities detection
  • Performance bottlenecks detection
  • Cross-references bug significance
  • Root cause analysis
  • Proposes fixes
  • Supports multiple programming languages
  • Supports distributed systems
  • Privacy prioritized
  • Doesn't train on app data
  • Fixed production issues debugging
  • Automated fixes proposal
  • Works with diverse systems
  • Early-stage bug detection
  • Understanding distributed system's bugs
  • Compatible with major frameworks
  • In-depth issue context analysis
  • Pinpointed issue cause
  • Size analysis
  • Cron monitoring
  • Provides accurate solutions
  • Uses error, replay info
  • User-owner data privacy
  • Provides patching options
  • Specific PR check
  • Utilizes stack traces, logs
  • All stacks support
  • Understands whole codebase
  • Suggests fixes across repos
  • Fixes without data compromise
  • Accurate code reviews
  • Tracks issue cause origin
  • Applied in local environment
  • Real-time bug tracking
  • Low-noise PR reviews
  • Handles major errors
  • Complete solution provision
  • Protects user data
  • Github Integration
  • Slack Integration
  • Sentry MCP Integration

Cons

  • Possible incorrect automatic fixes
  • Limited to Sentry context
  • Availability tied to Sentry
  • May be expensive
  • Data privacy restrictions
  • Doesn't cover all programming languages
  • May miss non-code issues
  • Limited to Sentry interface
  • May not detect subtle flaws

Reviews

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Pricing

Pricing model

Freemium

Paid options from

$29/month

Billing frequency

Monthly

Use tool

Related Videos

Getting Started with Seer - Sentry's AI Debugging Agent

Sentry•420 views•Jan 27, 2026

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