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sentry-regression-monitoring

Compare Sentry releases and time windows to detect regressions and user-impact changes.

5.3k|976|Updated Aug 25, 2025
Search Tags:#Sentry#regression detection#error tracking#user impact#release monitoring#Observability#issue comparison
One-click install
npx skills add https://github.com/Devin-AXIS/iPolloWork --skill sentry-regression-monitoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentry-regression-monitoring
Source: https://github.com/Devin-AXIS/iPolloWork/tree/main/examples/plugin-packages/sentry/skills/sentry-regression-monitoring
Command: npx skills add https://github.com/Devin-AXIS/iPolloWork --skill sentry-regression-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When shipping new releases, teams struggle to quickly determine whether error rates spiked, old issues resurfaced, or new problems emerged. Manually scanning Sentry dashboards across environments and releases is slow and error-prone.

Core Features & Use Cases

  • Regression Detection: Compare bounded Sentry windows and releases to surface new, regressed, and materially changed issues.
  • Impact-Based Ranking: Rank findings by affected-user evidence and confidence rather than raw event counts alone.
  • Noise Filtering: Exclude test, development, and irrelevant environments so results reflect real production impact.
  • Use Case: After deploying release 2.4.0, ask the agent to compare the last 24 hours against the prior release window and receive a ranked list of new and regressed issues with links and affected-user counts.

Quick Start

Compare Sentry issues between release 2.4.0 and 2.3.0 in production and report any new or regressed issues ranked by user impact.

Frequently Asked Questions about sentry-regression-monitoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect regressions in Sentry after a new release?▼

Compare a bounded time window after the release against a prior baseline window or previous release. Identify new issues, regressed issues, and frequency changes, then rank them by affected-user counts rather than raw event volume.

How to compare Sentry issues between two releases?▼

Confirm the projects, environments, releases, and comparison windows first, then diff issue sets across those boundaries. Report links or identifiers for new and regressed issues along with any gaps from sampling or missing release data.

Does Sentry regression analysis prove a release caused an issue?▼

No. Correlation between an issue and a release window is not proof of causation. Findings should be treated as leads for investigation, supported by counts and affected-user evidence rather than assumed root causes.

Why should test environments be excluded from Sentry comparisons?▼

Test and development environments generate noise that distorts frequency and impact comparisons. Excluding them unless explicitly requested keeps regression findings focused on real production user impact.

What are the limitations of Sentry window-based regression monitoring?▼

Results can be affected by event sampling, missing release data, and uneven traffic between windows. These gaps should be stated explicitly in the output so confidence levels are clear.

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