alt Hacker NewsI do not get it. I know that there are different people but... Do you really have that many issues, problems with using AI for coding and solving problems in your jobs or hobbies? In my company using Codex and Claude help us a lot with our software. We were able to fix legacy software which we could not do earlier without AI because of current tasks going on. We migrated in 2 weeks* (read below) to new versions of framework and libraries. If we have to do it without AI, then it will be work for few months or even year - only if doing that work, not other work such as fixing bugs, maintaing systems and doing current work such as new features. In our case AI tools help us a lot - every single developer.
Notice: first working prototype was done after approximately 2 weeks and was done by one developer. Of course it had bugs and was not perfect but it was huge improvement compared to what was before. Imagine that you do not regularly update framework/libraries (as it should be) because of various reasons (client does not want to pay for it or you focus on different things). We understand our decisions and so on, we know it but real life sometimes can not be perfect. Thanks to Codex/Claude we can move forward. Of course we know the LLMs/AI tools are not perfect and magic problem solvers but we could not say that these tools make our lifes worse or something.
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The problem with AI is that it works.
Think of it this way, before your company would need to hire more people if it wanted to do more. But now the same team can do things like this without hiring more:
> We migrated in 2 weeks to new versions of framework and libraries. If we have to do it without AI, then it will be work for few months or even year...
Maybe long-term this is amortized. But short-term the tendency is lower salaries and layoffs.
there are categories of tasks that were massively enabled through AI.
there are other parts where its not unless youre playing fast and loose.
Most devs against AI argue that the former tasks were never that big of an issue, but they likely worked at enterprises where those tasks were someone elses job through dedicated teams preparing framework upgrades etc
There is also a gigantic delta between using AI on eg Github copilot through API Pricing and having a Subscription model via Anthropic or OpenAI. Through Github you'll be constantly be worrying about costs, with the Sub youll likely mostly be using SOTA and the quality diffence is staggering, especially since the last model iteration (Opus 5.5)