Agentry

Modern AI coding agents can write code quickly, but understanding what happens after deployment is often the missing piece. This platform bridges that gap by connecting production data, analytics, errors, and deployment history into a single workflow. Instead of switching between multiple dashboards, developers can let their coding assistants investigate issues using real application data and deliver meaningful fixes.

Key Features

User Interface

The service follows an API-first approach rather than relying on a traditional dashboard. Coding agents interact directly with production information, making the workflow simple for technical teams.

Accuracy & Performance

By combining deployment records, analytics events, and error tracking, responses are based on live production evidence instead of assumptions. This results in faster debugging and more reliable decisions.

Capabilities

• Unified API for errors, analytics, and deployments.
• Automatic issue investigation using production context.
• Deploy attribution for tracking regressions.
• Event analysis for customer behavior and product insights.
• Webhook support for custom automation.

Security & Privacy

Applications send data through a lightweight HTTP API, allowing teams to control what is shared while keeping production workflows organized and traceable.

Use Cases

• Debug production errors automatically.
• Measure feature adoption and customer engagement.
• Analyze conversion and retention trends.
• Track deployment impact on application stability.
• Generate reports for engineering and product teams.

Pros and Cons

• Pros
  • Combines multiple production signals into one platform.
  • Works with popular AI coding agents.
  • Easy HTTP integration without complex SDKs.
  • Helpful for automated debugging workflows.
• Cons
  • Primarily designed for technical users.
  • Repository access is required for the full experience.

Pricing Plans

A free plan is available for smaller projects. Paid plans increase event limits and data retention, making them suitable for growing products and larger engineering teams.

How to Use Agentry

Connect your repository, configure the HTTP API, send production events, and allow your coding assistant to inspect errors, deployments, and analytics. The assistant can then identify problems, generate reports, and even prepare code changes based on real production evidence.

Comparison with Similar Tools

Unlike traditional monitoring solutions that require manual investigation, this platform is designed specifically for AI coding agents. It combines observability, analytics, and deployment context so automated assistants can understand applications with minimal human intervention.

Conclusion

For development teams embracing AI-assisted software engineering, this solution provides valuable production awareness that helps coding agents make smarter decisions. Its unified approach reduces investigation time and supports more confident deployments.

Frequently Asked Questions (FAQ)

Who is this platform designed for?

It is built for software teams using AI coding assistants to develop and maintain applications.

Does it require a software repository?

Yes. Repository access enables the agent to inspect code and connect production insights with source files.

Can it replace separate monitoring tools?

It can complement existing solutions or serve as a unified production context layer for AI-driven workflows.

Is there a free plan?

Yes. A free tier is available for testing and smaller projects before upgrading to higher usage plans.