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%

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I am interested in people who have tried generative AI coding projects. In your experience, are there project attributes that make generative AI coding capabilities a "good fit"? Are there project attributes that are likely indicators that generative AI will not result in something useful? I would think complexity of requirements is a big factor. If the complexity of the project or its requirements is low - I assume genAI coding can get you within the ballpark. For instance, logic stores: if your project has critical business logic spread out all over the place and not centralized I think that generative AI would not be able to make sufficient sense of that.

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If your organization uses an AI low-code development platform, has your vendor provided sufficient user education?

Yes70%

No25%

Other (comment below)4%

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What advice would you give to a senior software engineer/developer who is on the fence about transitioning into leadership?

What are your most important criteria when weighing a new software leadership opportunity? Which aspects of the job do you prioritize over others?

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Which software development approaches or methodologies are your developers following? Select all that apply.

Agile49%

BDD23%

CI/CD46%

DevOps52%

Lean18%

Sequential (Waterfall)18%

TDD/ATDD7%

Other2%

Don't know2%

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