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> They can be still be applied now using coding agents, if you're willing to push back against the default setup and change your mode of thinking a little bit. Of course it doesn't help that an entire industry is dedicated to persuading us that maximizing token spend is the only way to get shit done.

Yeah the problem is the executives and managers around us are demanding we ship massive features as quickly as possible, and I like having a job and dread having to find a new one in this market...

Give them some time to be slapped with the real AI invoices once Anthropic, OpenAI IPO.

Agree with this completely. This push for more autonomy I think is the complete wrong direction for how to use LLMs.

I want less code to maintain not more that I don't even fully understand.

I think research and very supervised coding with lots of guardrails is the way to actually gain productivity from these tools.

I think that's reasonable. My only gripe is that making small sets of changes is often faster to do by hand than waiting on llm reasoning, so I've found it amounts to very little speedup.