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

AI-assisted developer tools increasingly mediate programming through chat panels, terminal agents, generated diffs, and streaming status output. These interaction surfaces may create visual accessibility barriers for blind, low-vision, and color-vision-deficient developers, yet little is known about how such barriers a...

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

Researchers assessing competent generative-AI use at work must choose among self-reports, objective tests, and measures of oversight and reliance. We conducted a structured, seeded review of 24 focal empirical publications, starting from the 2024 COSMIN-based review and adding a targeted update through 17 August 2026....