From the 1 of 5 linked papers with an AI index.
5 papers
Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents
A H M Nazmus Sakib, Dipayan Banik, Murtuza Jadliwala
The paper investigates security issues caused by autonomous coding agents in pull requests, revealing that many PRs contain security smells—especially hard‑coded credentials—and th…
All Smoke, No Alarm: Oracle Signals in Agent-Authored Test Code
Dipayan Banik, Kowshik Chowdhury, Shazibul Islam Shamim
Software practitioners increasingly use AI coding agents that generate test code alongside production code in open source pull requests (PRs). Recent studies report more than 932,0…
Breaking the Dependency Chaos: A Constraint-Driven Python Dependency Resolution Strategy with Selective LLM Imputation
Kowshik Chowdhury, Dipayan Banik, Shazibul Islam Shamim
Dependency resolution is the task of selecting package versions that can be installed together without conflicts. It accounts for a significant share of build failures in modern so…
From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests
Kowshik Chowdhury, Dipayan Banik, K M Ferdous +1
Autonomous coding agents are generating code at an unprecedented scale, with OpenAI Codex alone creating over 400,000 pull requests (PRs) in two months. As agentic PR volumes incre…
Safer Builders, Risky Maintainers: A Comparative Study of Breaking Changes in Human vs Agentic PRs
K M Ferdous, Dipayan Banik, Kowshik Chowdhury +1
AI coding agents are increasingly integrated into modern software engineering workflows, actively collaborating with human developers to create pull requests (PRs) in open-source r…