In today’s tech landscape, Generative AI is not just a buzzword — it’s a transformative force redefining how software is conceived, developed and delivered. ArchAITecture Research Collaborative (A²RC), a not-for-profit research initiative being spearheaded by the MITRE Corporation, is focused on the integration of Generative AI into the software development lifecycle (SDLC). This project goes beyond technical exploration; it dives into the future of human/machine collaboration. Importantly, A²RC will share the results of this research with the broader community to drive innovation and informed decision-making.

Generative AI: The New Frontier in Software Engineering

Generative AI (GAI) is revolutionizing every phase of the SDLC, from ideation and design to coding, testing and deployment. Unlike traditional AI, which relies on predefined rules and datasets, GAI can create new content, solutions and even code from scratch. This ability has groundbreaking potential for software engineering.

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Which of the following best describes how you currently monitor and manage systems across your hybrid cloud environment?(Required)

Multiple separate tools for different environments

Multiple separate tools for different monitoring and management functions

Single consolidated dashboard

Custom built monitoring and management solution

No full monitoring and management solution

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How valuable would it be for your monitoring and management solution to incorporate predictive analytics to help you identify and address system issues that are critical and not waste time or effort working through all the data and “noise” that is not critical?(Required)

Extremely valuable

Moderately valuable

Somewhat valuable

Slightly valuable

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How do you most typically address potential system issues BEFORE they impact your operations?(Required)

Automated workflows and playbooks to remediate potential issues as soon as they are detected

An orchestrated response process that leverages automation, AI, and human expertise to rapidly respond to potential issues

Advanced monitoring tools such as predictive analytics and anomaly detection to proactively identify and address potential issues

Respond to issues as they arise, using manual processes and troubleshooting techniques

A combination of automated remediation, orchestrated response, and/or proactive monitoring to address potential system issues

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What methods does your organization use to control and monitor cloud/IT spending?(Required)

Centralized procurement processes

Pre-approved budget thresholds

Automated cost monitoring tools

Department-level spending controls

Regular cost audits and reviews

Cloud cost optimization platform

Approval workflows for resource provisioning

Native financial operations tools provided by the cloud provider

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Which methods do you rely on most to detect security vulnerabilities in your systems?(Required)

Automated scanning tools

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Vendor notifications

Threat modeling (for early detection)

None of these

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What are the TWO most common ways you prioritize vulnerabilities to address within your environment?(Required)

Based on potential impact

Based on exploitability

Regulatory compliance requirements

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Risk-based analysis of multiple factors

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How do you typically handle system updates and security patches?(Required)

Automated updates and patches

Manually review and apply updates and patches on a regular schedule

A combination of automation and manual review

Apply updates and patches on an as-needed basis.

Outsourced update and patch management

No defined process

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But the real question is: How can we combine GAI and human expertise to create a more powerful and innovative software engineering process? This research explores how humans and machines can collaborate, with GAI acting as a creative partner rather than just a tool.

Beyond Automation: The Creative Potential of Generative AI

GAI’s potential extends beyond automation. It offers a new dimension of creativity and problem-solving. While GAI can generate code, design interfaces and even propose architectural solutions, humans contribute essential elements like intuition, creativity and contextual understanding.

This research seeks to harmonize human intelligence and GAI to push the boundaries of what’s possible in software development. Our goal is to guide the future SDLC so that it is not only efficient but also more innovative and optimized for the complexities of modern software needs.

The Role of the ArchAITecture Research Collaborative (A²RC)

A²RC stands at the forefront of this exploration. Our team includes researchers, engineers and thought leaders dedicated to advancing the safe and secure integration of GAI into software engineering. The research is driven by a vision of a future where GAI and human creativity work hand-in-hand to deliver quality software at the speed of relevance.

The focus is not just on the technical aspects of GAI but also on how it can enhance the human experience in software engineering. Our team is investigating questions such as: How can we integrate GAI into existing workflows without disrupting human creativity? What are the leading practices for human/AI collaboration in software development? How can we maintain transparency, ethics and accountability in AI-generated outputs?

Additionally, A²RC explores pivotal discussions that could redefine the future of software engineering:

• From Tool to Teammate: Imagine GAI evolving from a mere tool to an autonomous agent, reshaping team dynamics and decision-making processes.
• AI-Driven Digital Platforms: Consider the potential of AI-centered platforms that could revolutionize software delivery, transforming roles and workflows much like today’s low-code and no-code platforms.

An Invitation to Participate: Shaping the Future With Generative AI

GAI is poised to revolutionize software engineering. Having diverse perspectives and insights from across the many roles of the SDLC is crucial to understanding the evolving landscape.

We are surveying to gather insights from anyone associated with the design and delivery of software worldwide. This survey plays a crucial role in understanding how Generative AI is used in real-world scenarios and how it impacts modern software practices and humans.

This survey focuses on the dynamic intersection of human and machine collaboration, aiming to:

• Identify key factors for effective and efficient human-AI software
• Understand the use cases, risks, and rewards associated with integrating GAI tools into the SDLC.
• Explore the impact of generative AI on software development lifecycle

By participating, you’ll help shape a comprehensive report that reflects the current state of the practice and drives future innovations.

We designed the anonymous survey to capture a wide range of experiences and perspectives. The insights we gather will inform our continuing research and help us develop new tools, frameworks, and best practices for integrating GAI into the SDLC. To participate in the survey, please visit this link.

In addition to the survey, we invite organizations to participate in developing case studies. These case studies will include the use of a lightweight decision support tool designed to help teams and organizations define their goals and measure success effectively. This hands-on approach offers a unique opportunity to explore the benefits and challenges of human/machine collaboration with Generative AI.

Why Participation Matters

The success of this research depends on the participation of individuals and organizations passionate about technology and its future. Whether you are a software architect, developer or tech leader, your input is invaluable in shaping the future of Generative AI in software engineering.

By participating in the survey or conducting a case study, you will play a vital role in exploring Generative AI’s potential. The insights you provide will directly impact the development of AI systems that are not only innovative but also ethical, transparent and aligned with human values.

Be Part of the Generative AI Revolution

The future of software engineering is being shaped now, with Generative AI as a core component. This research offers an opportunity to be part of this transformation, helping to define how AI and human creativity will collaborate in the years to come.

A²RC believes that the future of software engineering lies in the seamless integration of Generative AI into every phase of the SDLC. This research marks an exciting step toward that future, but we need the participation of the global tech community to succeed.

Take the Survey, Conduct a Case Study, Shape the Future

Whether you choose to participate in this groundbreaking research by taking the survey or conducting a case study your insights will help shape the future of software engineering, ensuring that Generative AI enhances, rather than replaces, human creativity and expertise.

This research is not just about technology — it’s about the future of work, creativity and human potential. Join A²RC in this important exploration and help shape the future of software engineering with Generative AI.

For inquiries or to get involved, contact Trac Bannon at tbannon@mitre.org or the ArchAITecture Research Collaborative at ArchAITecture@mitre.org.