arxiv.org
What Challenges Do Developers Face in AI Agent Systems ...
Excerpt
Our analysis reveals seven major areas of recurring issues encompassing 77 distinct technical challenges related to runtime integration, dependency management, orchestration complexity, and evaluation reliability. We further quantify topic popularity and difficulty to identify which issues are most common and hardest to resolve, map the tools and programming languages used in agent development, and track their evolution from 2021 to 2025 in relation to major AI model and framework releases.
Source URL
https://arxiv.org/abs/2510.25423Related Pain Points
Runtime integration and operational complexity
8Integrating AI agents with existing IT systems and operational infrastructure is a significant challenge. Runtime integration issues affect deployment and operational stability, requiring careful orchestration with external systems, APIs, and legacy infrastructure.
Lack of Evaluation Infrastructure for AI Agent Performance
7Developers lack structured approaches and tools to evaluate AI agent performance beyond manual QA. Evaluation infrastructure is complex and time-consuming, diverting resources from feature development.