Meta-analysis of 23 studies shows moderate productivity gains from GenAI coding assistants (Hedges' g=0.33) but no significant effect on learning (g=0.14).
Generative AI and the transformation of software development practices (2025)
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Industry practitioners indicate that generative AI heightens demand for prompting and output evaluation skills while reinforcing the value of problem-solving, critical thinking, architecture design, and debugging in software engineering.
This interpretive synthesis maps three coexisting software engineering paradigms (Traditional, Generative AI-Enabled, Agentic AI-Enabled), proposes a five-category competency framework, and derives nine testable propositions about the shift toward human-AI collaboration.
citing papers explorer
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A meta-analysis of the effect of generative AI on productivity and learning in programming
Meta-analysis of 23 studies shows moderate productivity gains from GenAI coding assistants (Hedges' g=0.33) but no significant effect on learning (g=0.14).
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"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
Industry practitioners indicate that generative AI heightens demand for prompting and output evaluation skills while reinforcing the value of problem-solving, critical thinking, architecture design, and debugging in software engineering.
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Human-AI Collaboration and the Transformation of Software Engineering Work
This interpretive synthesis maps three coexisting software engineering paradigms (Traditional, Generative AI-Enabled, Agentic AI-Enabled), proposes a five-category competency framework, and derives nine testable propositions about the shift toward human-AI collaboration.