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getsentry/sentry-for-ai

Teach your AI coding assistant how to use Sentry - setup, debugging, alerts, and more

TypeScript ◇ tag-production MIT
★268STARS
⑂34FORKS
!47ISSUES
🏆#4,633GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for getsentry/sentry-for-ai
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#503

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

sentry-for-ai gained 10 stars in the last 30 days, about 1 a day, and now has 268. It is about 1 year old and has averaged roughly 268 stars a year. It ranks #503 among TypeScript repositories and #4,633 across all languages on GitHubRepo.

Trending Record

sentry-for-ai has maintained a continuous presence across global trending indexes, peaking at #1829. Below is the 30-day activity profile:

💡 Overview

sentry-for-ai is an open-source project written in TypeScript: Teach your AI coding assistant how to use Sentry - setup, debugging, alerts, and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in tag-production. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install sentry-for-ai

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sentry-for-ai coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed sentry-for-ai into TypeScript backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install sentry-for-ai using your package manager: `npm install sentry-for-ai`

2

Initialize your project workspace or configuration file for sentry-for-ai.

3

Import sentry-for-ai into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `sentry-for-ai --help` to verify successful setup.

👍 Strengths

Active community backing with 266 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Sentry Replaces proprietary subscriptions ($26–$80/month with strict event caps) with self-hosted freedom.
Explore all Sentry alternatives →
F
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D
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V
vuejs/vue ★ 212.8K TypeScript

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O
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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

getsentry/sentry-for-ai is currently ranked #4,633 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,625 AzureAD/microsoft-authentication-library-for-android Java ★ 269 Compare ↗
#4,625 prescottprue/cypress-firebase TypeScript ★ 269 Compare ↗
#4,625 sillohq/core Python ★ 269 Compare ↗
#4,625 Clash-FX/ClashFX Swift ★ 269 Compare ↗
#4,625 BennyThink/NFCX Go ★ 269 Compare ↗
#4,633 getsentry/sentry-for-ai This Project TypeScript ★ 268
#4,633 wvanbergen/scoped_search Ruby ★ 268 Compare ↗
#4,633 MicrosoftDocs/dynamics-365-customer-engagement C# ★ 268 Compare ↗
#4,633 melihercan/WebRTCme C# ★ 268 Compare ↗
#4,637 cloudfoundry/stratos TypeScript ★ 267 Compare ↗
#4,637 oracle/weblogic-kubernetes-operator Java ★ 267 Compare ↗

Frequently Asked Questions

What does sentry-for-ai do? +

Teach your AI coding assistant how to use Sentry - setup, debugging, alerts, and more

What language is sentry-for-ai written in? +

The primary language is TypeScript. Topics include: tag-production.

Is sentry-for-ai actively maintained? +

Yes, the last recorded push was on Sep 24, 2026 with 47 open issues being tracked.

How many stars does sentry-for-ai have? +

sentry-for-ai has 268 stars and 34 forks on GitHub.

How does sentry-for-ai rank among GitHub repositories? +

With 268 stars, getsentry/sentry-for-ai is ranked #4,633 globally across all repositories tracked on GitHubRepo and #503 among TypeScript projects.

What license is sentry-for-ai distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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