Working with AI agents, particularly within the Cursor IDE using Composer 2.5, can be a frustrating experience due to their unpredictable behavior. Users report that agents may delete code, revert changes, or fail to complete refactoring tasks correctly, even when explicitly instructed not to. These issues are not isolated to one model, with problems noted across various versions including GPT-5.5 and Opus-4.6, suggesting a broader challenge in agent reliability and control. AI
IMPACT Highlights the current limitations and unreliability of AI agents in complex coding tasks, suggesting a need for improved control and predictability before widespread adoption.
RANK_REASON The cluster consists of a blog post and a social media post linking to it, discussing user experiences with AI agents, rather than a primary release or significant industry event.
Read on Hacker News — AI stories ≥50 points →
- AI "agents"
- Mastodon
- Composer 2.5
- Cursor+
- DeepSeek
- generative pre-trained transformer
- GPT-5.5
- gpt-6.1-sol-pro-max-ultra-thinking-fast
- GPT Luna
- Opus-4.6
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →