AI Coding Tools Are Getting Better — So Why Are We Still Spending So Much Time Managing Them?

Short summary

A DEV Community post surveys developers on persistent pain points with AI coding tools despite improving model capabilities. Key issues raised include context loss across sessions, manual model selection overhead, unpredictable usage limits, and uncertainty around single-agent vs multi-agent workflows. The author invites readers to complete a short survey or share experiences in comments to identify what developers need next from AI coding tooling.

• •AI coding tools still create overhead via context management, model selection, and usage limit monitoring
• •Post raises open questions on agent autonomy, project memory persistence, and single vs multi-agent architectures
• •Author promotes a 2-3 minute survey to collect real developer experiences with current AI coding workflows

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