I know people at work that spend much, much more than this. They’re what I’d describe as “fully AI native”. Honestly I don’t know how they handle it since it seems like a lot of work.
They have over a dozen agents, all using Claude Opus in fast mode. The agents have roles - for example, one for technical architecture, one for UI design, one for building overall plans, one for coding, one for security review, one for code review, etc. They run codemods (automated code cleanup and migration to newer APIs) using AI. Their backlog/wishlist tasks are completed using AI. They have several OpenClaw-style bots that respond to Google Chat messages, run periodic jobs, summarize emails, etc.
I know people at work that spend much, much more than this. They’re what I’d describe as “fully AI native”. Honestly I don’t know how they handle it since it seems like a lot of work.
They have over a dozen agents, all using Claude Opus in fast mode. The agents have roles - for example, one for technical architecture, one for UI design, one for building overall plans, one for coding, one for security review, one for code review, etc. They run codemods (automated code cleanup and migration to newer APIs) using AI. Their backlog/wishlist tasks are completed using AI. They have several OpenClaw-style bots that respond to Google Chat messages, run periodic jobs, summarize emails, etc.
If you want an extreme example… The developer of OpenClaw is “spending” $1.3 million per month on its development: https://www.businessinsider.com/openclaw-peter-steinberger-ai-token-bill-2026-5. He works at OpenAI so of course he doesn’t have to pay for it.
You could build a significantly better, higher quality product if you spent that much on actual humans…