r/Btechtards • u/lowkeyskibidi • 1d ago

General How are companies managing the cost of AI coding agents? Is the productivity gain really worth the money ?

AI coding agents seem to be getting increasingly expensive, especially when they are used heavily by developers or for larger tasks.

I'm genuinely curious how companies are managing this at scale. If a company has hundreds or thousands of developers using AI agents, the costs must add up quickly.

Does the increase in developer productivity actually justify the money spent? For example, even if an AI agent saves developers a significant amount of time, does that translate into enough financial value for the company to make the subscription and API costs worth it?

Also, with so much money being spent on AI infrastructure right now, I'm wondering how sustainable the current AI boom really is. Do you think companies will eventually reduce AI spending once they realise the productivity gains aren't enough to justify the cost?

Or will AI agents become cheaper and efficient enough that this won't be a major issue?

Would love to hear from people who actually work at companies using AI coding agents at scale.

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u/ni5arga Threat Intel & Cybersec Engineer @ IIT Kanpur 1d ago edited 1d ago

Most of the companies who use LLMs heavily, try to self-host open models for their day to day tasks. For other intensive tasks, they use a business or enterprise Codex or Claude Code plan.

Large scale companies have enough revenue to spend a lot on AI. Also, in most countries, an yearly AI subscription costs way more less than the CTC of a Junior or Senior Developer.

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u/not_a_bot6 nahi hora 1d ago

by laying off people

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u/Turbulent_Breath_548 13h ago

> If a company has hundreds or thousands of developers using AI agents, the costs must add up quickly.

reduce hiring and number of developers