behavioral rule accumulation 1code review automation 1continuous learning 1llm coding agents 1self-review checklist 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.SE2026
Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework
Aditya Aggarwal, Nahid Farhady Ghalaty
The paper introduces a closed‑loop system that lets LLM‑based coding agents record human review feedback as persistent behavioral rules, enabling the agents to self‑detect and avoi…
cs.SE2026
CommitDistill: A Lightweight Knowledge-Centric Memory Layer for Software Repositories
Divya Chukkapalli, Thejesh Avula, Aditya Aggarwal +2
Software repositories accumulate large amounts of unstructured knowledge in commit messages, pull-request discussions, and issue threads, but developers and AI coding assistants ra…
cs.CL2026
MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
Mehul Agarwal, Aditya Aggarwal, Arnav Goel +2
While multilingual large language models (LLMs) perform well on high-level tasks like translation and question answering, their ability to handle grammatical gender and morphologic…