This is a great point! Reminds me of Agentic software development. When it doesn't work out it's only evidence that you could have used more agents.
You can never use enough tokens.
> This is a great point! Reminds me of Agentic software development. When it doesn't work out it's only evidence that you could have used more agents.
A concept older than agentic software development is bad workmen blaming his tools.
I mean, if you can't possibly hammer a nail then is it reasonable to blame the hammer?
Which also conveniently makes you spend more money on tokens.
With agile, at least no one was charging you for it. Like sure, there’s a cost to the process. But there wasn’t direct agile.com profiting from you.
Meanwhile agentic workflows every solution to the problem is giving more money to the ai companies.
Model is bad? Made more expensive model. Still bad? Here’s an infrastructure that reads huge text files again and again making you consume tokens. Still bad? Here’s a way to easily spin up multiple agents at once so you can delegate work. Still bad? Here’s a new service that will automatically review code. Still bad? Maybe a biggger more expensive model will help.