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AI coding assistant usage shifts from coders to architects

A user reflects on their experience using various AI models for coding tasks, noting a shift from treating them as simple coders to more sophisticated architects. They observe that models like Anthropic's Opus and Fable are capable of creating detailed implementation plans, while Gemini is faster but less reliable for complex tasks. The user also discusses how restrictions on AI agents and token usage can lead to more focused and productive work, contrasting this with earlier, more unrestricted access that resulted in higher token consumption and less efficient problem-solving. AI

IMPACT User experience suggests AI models are evolving into more capable planning and architectural tools, potentially changing how developers interact with AI.

RANK_REASON User opinion piece on AI model usage and pricing.

Read on r/Anthropic →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI coding assistant usage shifts from coders to architects

COVERAGE [1]

  1. r/Anthropic TIER_1 English(EN) · /u/Valuable_Elevator948 ·

    General thoughts on expensive Max plans and vibe coding behaviours in general.

    <!-- SC_OFF --><div class="md"><p>I have been using AI for coding since the early days of Cursor, when you had to tell the prompt not to edit the same file twice in one task. I have been developing continuously, and slowly I phased out any manual coding work as the models got bet…