Written by Wing To

The integration of Artificial Intelligence (AI) into software development processes has become more than just a trend—it’s a necessity. AI-assisted development promises increased productivity and accelerated software delivery. However, realizing these benefits while managing associated risks requires a robust governance framework and end-to-end automation. This is where Digital.ai’s AI-powered DevSecOps platform comes into play.

The Promise of AI-Assisted Development

Augmenting developers with AI can significantly boost productivity, but tempering these expectations with a dose of reality is crucial. While certain tasks, such as generating skeleton code or working with unfamiliar programming languages, may experience a considerable increase in productivity, the overall impact varies depending on factors like coding complexity and project scope.

Overcoming Challenges in AI-Assisted Development

Despite the potential productivity gains, several challenges inhibit the full realization of AI-assisted development:

  1. Misalignment in the Software Development Lifecycle (SDLC): While AI can accelerate coding, it is only a part of the overall SDLC. The rest of the SDLC must keep pace to fully leverage this increase. This misalignment often results in bottlenecks and inefficiencies that offset the gains made in coding speed.
  2. Security and Compliance Risks: AI coding assistance, drawing from vast internet sources, may inadvertently introduce security vulnerabilities, compliance issues, or intellectual property infringements. The risk of incorporating poor quality code, including bugs or protected IP, poses significant challenges for enterprises.
  3. Measuring and Improving Productivity: Simply producing more code does not necessarily translate to increased productivity. Poor quality code can result in increased churn and rework, counteracting the increased developer output. To ensure that AI-assisted development generates tangible business value, measuring and optimizing the entire software delivery process, from coding to deployment, is essential.

Digital.ai’s Solution: Empowering AI-Assisted Development

Digital.ai’s AI-powered DevSecOps platform addresses these challenges head-on, enabling enterprises to harness the full potential of AI-assisted development while mitigating risks and ensuring compliance. Here’s how:

Value #1: End-to-End Intelligence

The Digital.ai AI-powered DevSecOps platform empowers SVP/VP of Engineering and Application Development and their organizations to assess the effectiveness of their investments in AI-assisted coding, identifying productivity gains and areas for ongoing improvement.

Additionally, our DevSecOps platform enables CIO/CTOs and their organizations to confidently adopt AI-assisted coding while improving visibility, reducing risks, and increasing business outcomes. With Digital.ai, organizations gain comprehensive visibility across development and production workflows, enabling benchmarking, risk identification, and compliance tracking for AI-assisted development.

Furthermore, Digital.ai enables organizations to automate and optimize the flow of their software delivery process, including intelligent automation in security, quality, and DevSecOps. By leveraging advanced analytics and machine learning algorithms, Digital.ai streamlines processes, accelerates time-to-market, and delivers high-quality software at scale, driving true business outcomes in today’s fast-paced digital landscape.

Value #2: Governance and Control

For SVPs and VPs of Engineering and Application Development, Digital.ai provides a robust governance framework to ensure compliance and mitigate risks associated with AI-generated code. As it is impossible to identify code created with the help of AI code assistance, it is essential to ensure that ALL code consistently meets all the governance criteria for an enterprise.

Digital.ai orchestrates and incorporates all the governance needs of an enterprise into the delivery pipelines to ensure that all software delivery consistently meets the governance criteria with automatic audit reports. Governance policies can also be expressed as code and executed as part of the delivery cycle. Additionally, Digital.ai provides best-practice templates that capture the governance needs of an enterprise.

To address the challenge of ensuring that all development teams adopt appropriate governance, Digital.ai supports Platform Engineering. Platform Engineering provides development teams with paved paths (or golden paths) that capture and optimize common pipelines and workflows to reduce development effort. Digital.ai provides this self-service capability and includes all necessary governance into the paved paths, ensuring compliance across all development activities.

Value #3: End-to-End Automation

Our platform goes beyond measuring code quantity to truly embody automation and unlock the benefits of AI-assisted development. It orchestrates the delivery of software across the entire Software Development Life Cycle (SDLC), modeling the processes, people, and tools to enable seamless automation. This orchestration allows the SDLC to flow at the pace of increased developer output.

Furthermore, Digital.ai’s automation capabilities ensure that every aspect of the SDLC is optimized for efficiency. From code creation to deployment, our platform streamlines processes, eliminates bottlenecks, and accelerates time to market. This holistic approach to automation guarantees that organizations can fully leverage AI-assisted development to drive tangible business value.

Additionally, Digital.ai ensures that newly built code, whether by a human or a co-pilot, is compliant, secure, and properly governed across the entire lifecycle. Organizations can maintain regulatory compliance and mitigate security risks through automated policy enforcement and governance controls.


As enterprises embrace AI-assisted development to stay competitive in a rapidly evolving landscape, Digital.ai’s AI-powered DevSecOps platform emerges as a crucial enabler. By providing end-to-end intelligence, robust governance, and seamless automation, Digital.ai empowers organizations to unlock the true potential of AI while managing risks and ensuring compliance. With Digital.ai, the promise of AI-assisted development becomes a reality, driving tangible business outcomes and accelerating digital transformation.

In summary, Digital.ai offers a comprehensive solution for enterprises seeking to leverage AI-assisted development effectively. By combining advanced analytics, governance capabilities, and automation tools, Digital.ai enables organizations to maximize productivity, minimize risks, and deliver high-quality software at scale. As AI continues to reshape the software development landscape, Digital.ai remains at the forefront, enabling enterprises to embrace AI responsibly, reduce software-related risks, and confidently drive business innovation.

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