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Kiev Gama

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Jul 2026

A Preliminary Study on the Impact of AI in the Creativity and Collaboration in Software Teams

Generative artificial intelligence (GenAI) tools are reshaping software engineering work, increasingly acting as cognitive partners rather than purely instrumental aids. Most AI tooling remains optimized for individual use, yet software development is inherently collaborative and creative, raising open questions about how AI affects team-based work. This paper examines how software engineering professionals perceive and integrate AI tools focusing on creativity and collaboration within teams. We conducted semi-structured interviews with 13 software professionals from four companies, each representing a distinct team. Our analysis identifies three central themes - AI Use, Consequences of AI, and Collaboration and Team Dynamics, alongside Emotions as a cross-cutting dimension. Key findings include: AI broadens developers'creative repertoires but may narrow independent ideation; developers increasingly consult AI instead of colleagues, weakening peer learning and mentoring; and teams are developing emerging triadic collaboration patterns in which developers, colleagues, and AI reason together.

Danilo Monteiro Ribeiro, K. Gama, Victoria Jackson · 0 citations
Preprint Aug 2026

Comparing the Quality of Code Generated by Vibe Coding Tools

This study compares the structural quality of code produced by three widely adopted vibe coding tools --- Lovable, v0, and Replit --- starting from a single generation prompt and suggests that choosing between vibe coding tools involves structural trade-offs that go beyond perceived productivity.

Gustavo da Mota, K. Gama · 0 citations
Open access Jul 2026

Designing for all? Accessibility of native android interfaces from large language models

This research investigates how LLMs, such as ChatGPT, can support the creation of accessible native Android applications, and evaluates whether the generated code aligns with established accessibility guidelines, considering variations in screen layouts, prompt styles, and interface design methods.

Daniel Mesquita Feijó Rabelo, Júlia Holanda Muniz, K. Gama et al. · 0 citations

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