Govern AI-Assisted Development

Accelerate adoption and productivity gains of AI-augmented development through automation and end-to-end analytics

Quantify Gains, Identify Improvements and Predict Risks

Streamline your continuous integration (CI), continuous delivery (CD), and continuous testing (CT) processes to handle the increased speed of AI-assisted coding. Built-in safeguards ensure compliance and security, while advanced analytics uncover areas for improvement and predict potential risks. By automating everything from quality checks to policy enforcement, you'll increase flow and keep pace with development gains.

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Measure Software Delivery Productivity With 3 Key Capabilities

Accelerate software delivery

Adopt automation to turn increased code creation into business value with improved quality, security and overall delivery

Measure the impact of AI-assisted coding on engineering teams' productivity. Going beyond lines of code written, key insights help identify potential bottlenecks and areas of improvement. Combine data from your existing DevOps tooling to provide a clear view of productivity across teams and applications, allowing leaders to make data-driven decisions to optimize software development and reduce risk.

Accelerate software delivery

Govern Release Pipelines

Govern and control AI-generated code via built-in governance and policy enforcement to reduce risk

Empower engineering teams to take advantage of AI-augmented code while still maintaining control. Embed governance and compliance standards into workflows to ensure audit and traceability across software delivery. Leverage pre-defined, standardized templates and integrate platform engineering practices to further streamline adoption across engineering.

Govern Release Pipelines

Increase Delivery Productivity

Accelerate adoption and productivity gains of AI-augmented development, continuous improvement, and faster risk identification

Go beyond baselining and measuring developer productivity by expanding productivity insights across all software delivery. Provide end-to-end visibility allowing clear measurement of risks and benefits. Benchmark development improvements via analytics such as DORA and Flow Acceleration, while predicting risk of change, bottlenecks and quality.

Increase Delivery Productivity

Accelerate The State of DevOps Report by Google DORA Community, sponsored by Digital.ai

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Related Resources

Learn more about how to govern AI-assisted development

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How Will AI Enhance Platform Engineering and DevEx?
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How to Make AI-generated code Secure, Private and Compliant
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