Digma.ai

AI Developer Docs
0
Introduction: Digma finds what your tests miss by preventing breaking changes and identifying performance issues earlier.
Added on: Jan 20, 2025
Open Site
Digma.ai

What is Digma.ai

Digma is a tool designed to help engineering teams avoid disruptions by identifying potential breaking changes and performance issues early in the development cycle. It leverages a Preemptive Observability Analysis (POA) engine to detect issues in pre-production environments, allowing teams to address them before they impact production. Digma integrates seamlessly with IntelliJ IDE as a plugin, runs locally, and requires no code changes or observability prerequisites.

How to Use Digma.ai

  1. Install the Digma plugin from the IntelliJ IDE marketplace.
  2. Run Digma in your development environment.
  3. Review the highlighted affected areas and impacted components for each code change and Pull Request.
  4. Address any identified performance or scalability issues before they reach production.

Use Cases of Digma.ai

Digma is particularly useful for engineering teams looking to improve code quality and performance. It helps in identifying and resolving issues such as breaking changes, performance bottlenecks, and inefficient code during the development phase, reducing the risk of production disruptions and optimizing infrastructure costs.

Features of Digma.ai

  • Prevention of Breaking Changes

    Digma highlights affected areas and impacted components for each code change and Pull Request, helping to eliminate the risk of breaking changes.

  • Performance Issue Detection

    Digma's POA engine identifies scalability and performance issues in pre-production environments, allowing for faster resolution without customer impact.

  • Cost Optimization

    Digma identifies inefficient code that impacts application costs and suggests areas for optimization, enabling efficient scaling.

  • IntelliJ IDE Plugin

    Digma installs as a plugin in the IntelliJ IDE, running directly in the development environment.

  • Local Data Processing

    Digma runs locally on a laptop or within a private cloud, ensuring all data stays within the organization.

  • No Code Changes Required

    Digma requires no code changes or observability prerequisites and is OTEL-compliant.

  • No Public AI Usage

    Digma avoids using public AI systems, ensuring data privacy and security.