this post was submitted on 03 Jul 2026
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Yeah I can see that you work in the industry...
Its not complicated. People have become extremely insulated away from what the real work looks like of a dev over the years.
The reality os starkly contrasted to public perception.
Most software developers heavily use LLMs now. They sucked 5 years ago, we're meh 3 years ago, decent 2 years ago, but over the past year and a bit have rapidly become genuinely more efficient when used right and skillfully than doing about 90% of your work load by hand.
Bits and pieces still require doing it by hand, but the vast majority of work for the average dev now is via moderating an LLM (with skill) to success.
Unfortunately a fuck tonne of devs lack that "with skill" part still, and what this comes out as is them costing their companies tremendously more money to do the same job.
A loooot of companies (stupidly) hedged their bets that if they just gave their devs wild west access to using LLMs without training they'd magically just "figure it out" along the way.
Which is nonsense, why would a dev feel compelled to conserve tokens or improve efficiency with zero incentive?
So now companies are scrambling as they realize their devs, who just spent 12 months going hog wild with LLMs, still havent learned how to use them well and in dact have developed arguably worse poor habits that they now need to unlearn
Thats where the industry is at now largely.
Meanwhile companies like the one I work at predicted this as a natural thing and we're preparing for it long in advance. When token prices shot up we already had set ourselves up with lots of training so the price increase was not nearly as noticeable.
I think when Im fully optimized out on a project I only spend about $10~$15 a day, despite going full steam for 5 hrs or so.
And despite that my productivity is probably higher than unskilled devs who burn through 10x~20x that. I get more work down in way less time and way less tokens.
Training and the resource/knowledge pool go a long way here. It cannot be understated
Give it up brother, you're not fooling anyone here
Theres not really any fooling here. Theres tonnes of interesting examples you can find.
Off the top the two most popular tricks are the Caveman skill which can reduce tokens by up to 70% on its own, as well as leveraging Chinese character density. Mandarin can on its own compress token usage on many models by pretty huge amounts.
Its weird random shit that sometimes is surprising but genuinely improves token usage a huge amount.
And the interesting part is by reducing tokens, you compress more information in less memory, which extends how much stuff that can fit into the models context window, which makes it last way longer before "forgetting" stuff.
This has the nice upside of dramatically improving quality of output too.
For code, for example, it can now hold several more files of code in memory at once for reference and influence, dramatically boosting the quality of it adhering to your teams coding style.
Thats just one example you learn on how to make the tool less stupid.
Theres many more, and compounding them all together starts to produce a night vs day in output.
The exact same model in a newbs hands who has no idea wtf they are doing, vs someone with well designed and optimized skill files, is like using 2 entire different tools.
Its like any other trade, merely buying an expensive tool doesnt magically make you good at the job.
Knowing how to use the tool is way more important