AI Coding Tools Are Stuck in 2007's Dev UX

a day ago

AI coding tools are stuck in outdated development UX from 2007, despite advancements in foundational models.
Chat interfaces encourage iterative workflows that current models can't sustainably support, leading to degradation.
There's no clear signal when exceeding model limits, leaving engineers to manage capacity constraints on their own.
Effective workarounds for agent limitations exist but are not easily discoverable or well-designed for most engineers.
The 'blank canvas problem' in IDEs promotes dumping everything into one massive prompt instead of a structured approach.
Manual orchestration of agents and sub-features is required, with output quality degrading without proper management.
The 'Capacity Box' concept defines LLM limits by context length and logical complexity, with silent degradation when exceeded.
Managing context involves using sub-agents for isolation, doing pre-work, and maintaining living documentation.
Complexity management requires breaking tasks down, code-reviewing AI changes, using tests as guardrails, and knowing when not to use an agent.
Traditional software engineering practices like breaking tasks down and writing clear specs are now essential for AI agent workflows.

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