SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution

arXiv:2603.01327 · cs.SE, cs.CL, cs.LG · Submitted 2026-03-01 · Read on arXiv

cs.SE, cs.CL, cs.LG

Submitted: 2026-03-01

Updated: 2026-09-27

Project page: https://tree-sitter.github.io/4

Terminology

Accuracy — 16× in this paper · explained in 1 episode
Agentic Framework — 8× in this paper · explained in 6 episodes
Adaptive Planning — 5× in this paper · explained in 1 episode
Ablation — 4× in this paper · explained in 1 episode
Ablation study — 4× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
State Management — 3× in this paper · explained in 3 episodes
Trace — 3× in this paper · explained in 2 episodes
AI Agents — 2× in this paper · explained in 2 episodes
Abstraction — 2× in this paper · explained in 1 episode
Agentic Approaches — 2× in this paper · explained in 1 episode
Action Space — 1× in this paper · explained in 1 episode
Agent Memory — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Robustness — 1× in this paper · explained in 5 episodes
Scaffolding — 1× in this paper · explained in 3 episodes

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