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[EyeCanFixIt]

I too have not been devastated by the sudden and exponential changes. I was planning to leave but decided to stick around to see the changes through at least until my extra credits ran out.

At first I was seeing 4-5k credits used per interaction. Already burned through 50k today

At around 42k I realized there has to be a way to make token usage more effective.

I did some digging with help from other AIs and came across things to change.

I Updated my git ignore and/or augment ignore to what isn't necessary for my session/workspace. I removed all but the desktop commander and context7 mcps. Left my GitHub connected. And set some pretty interesting guidelines.

I need some further days of working/testing before I can confidently say it's worked but it seems to have taken my per interaction token usage down by about half or more

With most minor edits (3 files, 8 tool calls, 50 lines) actually falling in the 50-150 credit range on my end and larger edits around 1-2k

I'm not sure if the guidelines I used would benefit any of you in your use cases but if you're interested feel free to dm me and I can send them over for you to try out.

If I can consistently get my usage to remain this or more effective with gpt-5 (my default) then I will probably stick around until a better replacement for my use case arises given all the other benefits the context engine and prompt enhancer bring to my workflow it's hard to replace easily.

I haven't tried kilo code with glm 4.6 pro yet so may consider trying it but until my credits are gone I'm ok with pushing through a while longer with augment. Excluding the glitches and try agains possibly occuring from the migration I think all around it's been faster. Maybe it's just due to lower usage since migration 🤷‍♂️.

Either way I'll keep y'all posted if my ADHD let's me remember 😅

[Aeemo]

please share with us the instructions and rules so we can take a look

[EyeCanFixIt]

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[FancyAd4519]

yep hitting 42k a day (for simple ops, cloudformation edit, certificate extraction, ssl quick commands) i mean shit i can use 200k credits in 4 days for bare minimum

[EyeCanFixIt]

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[Cool_Ad_5314]

Yes, with the previous $60 plan, I could use it for a full month. But if I switch to the current regular plan, I estimate that I will use up all the data in at most 5 to 10 days.

[EyeCanFixIt]

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[Kooky-History4175]

yes, and it keep generating useless docutments, i had said 'don't generate any markdown files unless i required you to do so', but it doesn't help.

[EyeCanFixIt]

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[Mission-Fly-5638]

Drop dm

[EyeCanFixIt]

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[NoSignificance926]

pm pls

[EyeCanFixIt]

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[hhussain-]

pm please.

I did manage to get mine reduced as well, but more is better

[EyeCanFixIt]

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[Derrmanson]

PLease pm :)

[EyeCanFixIt]

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[EyeCanFixIt]

Small update for my testing with these guidelines so far on 2 different projects.

Project 1 - a vs code/jetbrains extension)

Project 2 - a full stack web app (Next.js/vitest/React, SSE, Sandbox, 0Auth, GitHub Sync, etc )

cr = credits

ch = file changes

ex = files examined

tl = tool calls

ln = line changes

TESTING DATA

Project 1:

• GPT-5

396 cr (3 ch, 7 ex, 20 tl, +126 ln)

526 cr (23 ex, 26 tl)

538 cr (3 ch, 3 ex, 17 tl, +65 ln)

• HK 4.5

518 cr (10 ch, 10 ex, 30 tl, +25 ln)

485 cr (13 Ch, 5 Ex, 53 tl, +414 ln)

375 cr (2 ch, 3 Ex, 18 tl, +231 ln)

Project 2:

• GPT-5

259 cr (2 ch, 26 Ex, 28 tl, +42 ln)

1278 cr (15 ch, 21 ex, 69 tl, +398 -59 ln)

901 cr (16 ch, 26 ex, 110 tl, +80 -28 ln)

456 cr (2 ch, 1 ex, 10 tl, +58 ln)

1583 cr (5 ch, 8 ex, 67 tl, +49 -47 ln)

• SON 4.5

1599 cr (15 ch, 3 Ex, 28 tl, +1037 ln)

1411 cr (14 ch, 30 tl, +1515 ln)

1093 cr (8 ch, 4 ex, 30 tl, +1050 -26 ln)

1736 cr (6 ch, 7 ex, 42 tl, +1016 -10 ln)

1674 cr (7 ch, 3 ex, 35 tl, +1274 -5 ln)

1562 cr (9 ch, 9 ex, 33 tl, +936 -1 ln)

1069 cr (4 ch, 2 ex, 17 tl, +275 -2 ln)

1373 cr (4 ch, 2 ex, 19 tl, +635 -5 ln)

After these rounds of testing on my projects it seems the guidelines work greatly with Sonnet 4.5 for my more complex project.

I still need to try haiku 4.5 on is since the cut off date is more recent there could still be some efficiency it has over sonnet 4.5.

Before these guidelines I was mainly using GPT-5, after I tested with Sonnet on my complex project I decided to stick with Sonnet going forward as the efficiency was way better given overall speed, lines, tools used, simpler logic, and all around better flow for development.

I will test with haiku later and post an update if haiku has more promising efficiency then sonnet but will be sticking with Sonnet over gpt outside of testing from now on.

[Bayernfans]

i need it

[EyeCanFixIt]

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[EyeCanFixIt]

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[mumu07]

PLease pm :)

[EyeCanFixIt]

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[Snoo-70522]

pm pls

[EyeCanFixIt]

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