zlacker

>>meetpa+(OP)
My frustration with using these models for programming in the past has largely been around their tendency to hallucinate APIs that simply don't exist. The Gemini 2.5 models, both pro and flash, seem significantly less susceptible to this than any other model I've tried.

There are still significant limitations, no amount of prompting will get current models to approach abstraction and architecture the way a person does. But I'm finding that these Gemini models are finally able to replace searches and stackoverflow for a lot of my day-to-day programming.

>>segpha+J4
I have been asking if AI without hallucination, coding or not is possible but so far with no real concrete answer.

>>ksec+66
Try dropping the entire api docs in the context. If it’s verbose, i usually pull only a subset of pages.

Usually I’m using a minimum of 200k tokens to start with gemini 2.5.

>>Foreig+L8
That's more than 222 novel pages:

200k tk = 1/3 200k words = 1/300 1/3 200k pages

>>nolist+Ow
It’s easy to get 500-700k tokens in. I’ll drop research papers, a lot of work docs, get through a bunch of discussion, before writing a PRD-like doc of tasks to work from.

That generally seems right to me, given how much we hold in our heads when you’re discussing something with a coworker.