- Identify the files that should be put into context since tokens cost money and I wanted to use a model that was capable like Sonnet, which is expensive.
- There were 35 messages (minus 2 based on how my system works) so I wrote and read quite a bit. I was actually curious to know how it worked since I have domain knowledge in this area.
- Once I knew I had enough context in the messages, I switched to Gemini since it was MUCH cheaper and it could use the output from Sonnet to guide it. I was also confident the output was accurate since I know what would be required to put a Git repo into context and it isn't easy if cost, time and accuracy is important.
Once I went through all of that I figured posting the parent questions would be a good way to summarize the tool, since it was very specific.
So I guess if that is the next LMGTFY, then what I did was surely more expensive and timeconsuming.
Not really. I had to do the following:
- Identify the files that should be put into context since tokens cost money and I wanted to use a model that was capable like Sonnet, which is expensive.
- There were 35 messages (minus 2 based on how my system works) so I wrote and read quite a bit. I was actually curious to know how it worked since I have domain knowledge in this area.
- Once I knew I had enough context in the messages, I switched to Gemini since it was MUCH cheaper and it could use the output from Sonnet to guide it. I was also confident the output was accurate since I know what would be required to put a Git repo into context and it isn't easy if cost, time and accuracy is important.
Once I went through all of that I figured posting the parent questions would be a good way to summarize the tool, since it was very specific.
So I guess if that is the next LMGTFY, then what I did was surely more expensive and timeconsuming.