Engineer spends $3,000 a month managing multiple AI coding agents
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An engineer who moved from Microsoft's Windows AI team to Salesforce AI Research says he now spends about $3,000 a month on tokens, and his way of working has shifted from GitHub Copilot code completion to managing 5–6 Claude Code, OpenCode, Codex, or Pi agents at the same time. The core of this shift: he no longer accepts completion suggestions line by line, but dispatches multiple agents in parallel to execute tasks. The spending and usage above all come from his own description.
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A research engineer at Salesforce AI Research reflects on how his AI use changed over 12 months, now managing roughly 5–6 coding agents per workday and spending about $3,000/month on tokens. He finds agentic coding fast and useful but still dependent on human taste, reports that LLMs have become his first choice for literature searches while remaining unreliable for novel research, and criticizes AI writing as mediocre and AI image and video generation as a net negative.
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