AI Accelerators for Improved
Performance and Faster Go-to-Market

CodeGuard logo

Write Better Code, Instantly.

AI-powered accelerator integrates directly into your IDE, providing real-time code suggestions, auto-corrections, and quality insights that streamline development and reporting.

    Key Benefits

  • Real-time code validation and suggestions within your IDE
  • Enhanced code quality through automated refactoring
  • Transparent reporting for tech leads and managers
  • Compatible with all major IDEs

Supported IDEs

Supported IDEs

Impact

28%

developer productivity improvement

35%

reduction in post deployment bugs

CoDeX logo

Plan Smart. Migrate Right.

Analyze complex cloud infrastructures across public, private, and hybrid environments to assess migration readiness, effort, and resource needs with precision.

    Key Benefits

  • Full visibility into VPCs, workloads, and dependencies
  • Accurate effort estimation before cloud transitions
  • Reduced migration risks and surprises
  • Supports all cloud environments

Impact

42%

reduction in time taken for migration planning

31%

better resource allocation

Codeforge logo

From Swagger to Performance—In Seconds.

Automate API extraction and performance test script generation from Swagger definitions to streamline your testing pipeline. The accelerator enables
automatically extracting relevant APIs from Swagger and then generating scripts for performance testing.

    Key Benefits

  • Direct extraction of relevant APIs
  • Auto-generation of performance scripts (e.g., for JMeter)
  • Faster API testing cycles
  • Ensures consistency and test coverage

Impact

50%

reduction in performance testing

38%

improvement in overall test coverage

CodeLog logo

Decode Logs, Detect Issues, Drive Reliability.

Stay ahead of outages and inefficiencies. Codetru’s Log Analyzer Accelerator is built to automatically analyze application and access logs, detect error patterns, and deliver actionable insights—directly to your inbox.

CodeLog Image

Key Benefits

  • Automated Log Review: Continuously scans logs at configured intervals across your microservices architecture.
  • Pattern Recognition: Detects recurring error signals, slow response patterns, and access anomalies.
  • Actionable Reporting: Sends summarized reports with highlighted abnormalities and recommended resolutions.

Impact

45%

Reduction in log-related issues that typically go undetected in cloud-native applications.

70%

Helps uncover incident triggers usually buried in unreviewed logs—before they lead to downtime.

30–50%

Eliminates the need for manual log scraping, saving debugging hours navigating unstructured log data.

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