The tasks that it failed on were small enough that the context window was 
all right (I think). I don't think the CLI interface is available without a 
subscription, is it?

On Thursday, May 14, 2026 at 1:12:05 AM UTC-4 [email protected] wrote:

>
>
> On Wed, May 13, 2026, 20:11 Thomas Passin <[email protected]> wrote:
>
>> So far I have had a 100% failure rate in trying to get Claude or ChatGPT 
>> help solve small but tricky problems. They have burned up a large number of 
>> free tokens and made many suggestions but haven't solved the problems.
>>
>> They also don't seem to have a large enough context window to be able to 
>> maintain the overall picture of large threads. So I don't see how they 
>> could be able to create a decent large system design. Just complete enough 
>> specifications for one component would probably overflow the context window.
>>
>> Given that we know that good quality and reliable operation cannot be 
>> achieved by testing alone, I don't see how widespread adoption is going to 
>> be anything but a long term software nightmare. All these systems that may 
>> *seem* to work but watch out when they hit edge cases...
>
>
> One thing you might want to try is a proper coding harness for the 
> chatbot. I find that using Google's Gemini CLI calls multiple sessions for 
> individual subtasks which allows for the context window of each individual 
> subtask to be dedicated for it alone and you don't end up with a massive 
> chat history that the LLM can't keep up with 5 or 6 messages into it 
> because it's done so much work and it keeps seeing the same session and the 
> same history every single time you send a new message. 
>
> By splitting the coding task up into many small subtasks this works a lot 
> better then just talking into the website.  It chooses which model to run 
> based on the task complexity and comes up with a cohesive result in the end 
> I find, more often than not.
>
> Just my 2 cents.
>
> Mike
>  
>
>
>
>
>

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