Comment by rdedev
12 hours ago
How would you approach this problem if you are let's say token constrained due to per month limits set in your company?
What I've tried to do is make the bot write detailed spec documents, slowly building it over time as I explain the full problem.
It works for the most part but it's you have some non standard requirement, the agent seems to skip over that part of the spec document when it starts to code. Or it would have needless checks for situations that I said will never happen
In my book, the single most effective way to spend tokens is having it review code/specs you've written. One advantage to putting the ai in that position is that unreliable competence isn't much of a problem as you can ignore bad suggestions.
I would also recommend explaining the specs and doing a lot of your back and forth with a lower end model and set it to a higher end model only once the conversation history has all the context you feel the higher end model needs.
As the post says, after an agent implements the plan, have another agent review it. Make sure to mention it must ensure the plan is fully executed. It works wonders!
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