Fragmented Markers, Mixed Results: A Systematic Review of AI Coding Assistants and Developer Productivity

Vibe Coding: Practice, Performance, Productivity, and Risk -A State-of-the-Art Review

This state-of-the-art review assembles that evidence across a cross-disciplinary corpus spanning software engineering, human-computer interaction, labour economics, security research, governance, and education, finding the early benchmarks saturated but task-level capability uneven.

Human-AI Collaboration in Software Engineering: Enhancing Developer Productivity through Intelligent Assistants

It is argued that three integration conditions determine whether enterprise deployments match the productivity outcomes controlled experiments document: context fidelity, the degree to which the assistant's knowledge reflects the actual enterprise codebase, workflow embeddedness, the breadth of development lifecycle to...

LLMs’ reshaping of people, processes, products, and society in software development: a qualitative exploration with early adopters

Interviews with sixteen early-adopter software professionals who integrated LLM-based tools into their day-to-day work in early to mid-2023 offer actionable implications for developers, organizations, educators, and tool designers seeking to integrate LLMs responsibly into professional software practice.

Artificial Intelligence Tools for Productivity Enhancement: A Narrative and Thematic Literature Review

Characterizing Visual Accessibility Issues in AI Developer Tools: An Empirical Study

Analysis of issues and forum discussions from five AI developer tool ecosystems shows that the accessibility record of AI developer tools is shaped by both their interaction design and the reporting and maintenance practices of their surrounding ecosystems.

Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use

A structured, seeded review of 24 focal empirical publications, finding no validated individual-level instrument in the focal corpus that tests the full combination of agent scope, permissions, recovery, state isolation, independent review, and evidence-based closure.