Automate code reviews and security analysis with an AI-powered engineering assistant that integrates directly into your CI/CD pipeline.
Catch bugs, vulnerabilities, and style issues before they hit production, helping your team ship higher-quality code faster.
For software development teams seeking to automate code quality and security analysis, Holmes presents a compelling option. It acts as an AI engineering assistant within your CI/CD pipeline to catch bugs and vulnerabilities early, though its effectiveness requires direct evaluation as pricing and performance metrics are not public.
Your workflow, automated
Before & After
Manual, inconsistent code reviews slow down releases.
Days per releaseAutomated, consistent quality checks speed up the development cycle.
Hours per releaseTrusted by professionals
Why Software Development choose this tool
Key Use Cases
Holmes shows promise for automating routine code checks and security scans, potentially freeing up significant developer time. However, without public pricing or detailed case studies, its true ROI is difficult to assess, and it may require considerable configuration to align with specific team standards.
Frequently asked questions
What is the best AI tool for automated code review?
How can AI improve my CI/CD pipeline?
Can AI help reduce technical debt in my codebase?
What are the top AI-powered security scanning tools for developers?
Is Holmes AI available in the UK?
Does Holmes AI have a free trial?
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About Holmes
Full Description
Holmes is an AI-powered platform for software development teams that automates code analysis, security scanning, and documentation generation. It acts as an always-on engineering assistant, helping you ship higher-quality code faster by identifying issues directly within your workflow.
Editorial Verdict
Holmes shows promise for automating routine code checks and security scans, potentially freeing up significant developer time. However, without public pricing or detailed case studies, its true ROI is difficult to assess, and it may require considerable configuration to align with specific team standards.


