Has GenAI changed your software developers’ output?

Engineering Machine Learning (ML)

Yes, they produce more work now19%

Yes, they produce less59%

No, their output is the same11%

Don’t know8%

Not using GenAI for software development1%

83 PARTICIPANTS

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How has AI impacted your software team structure, if at all? Are you experimenting with any new team sizes or compositions now that wouldn’t have been possible without AI?

Do you think that using AI coding tools can cause developers to feel less engaged with their work? What are some signs that this could be happening for a team member?

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Is anyone working on automation of EA Practice activities such as design and/or roadmap development through the use of AI tools? This could include but not be limited to strategy, analysis, solution development, governance submissions, standards review, white papers etc. We are using ARIS as an EA repository and are considering the use of the AI companion or perhaps even standalone AI tools to import, process, analyses & publish. Happy to discuss ideas for future implementation.

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Are any of these certifications on your list for new hires? Choose any that you look for:

Scrum Master32%

IT Infrastructure Library (ITIL)28%

CompTIA A+26%

CompTIA Security+16%

CompTIA Network+14%

AWS Certified Solutions Architect42%

AWS Certified Developer45%

CISSP (Certified Information Systems Security Professional)10%

CCNA (Cisco Certified Network Associate)25%

Project Management Professional (PMP)9%

Other1%

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How valuable is it if a sys admin is able to automate patching in order to move from a quarterly patch cadence to a monthly patch cadence?

Highly Valuable47%

Moderately Valuable52%

Not valuable at all

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