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gdudeman | 6 months ago
1. Build context for the work you're doing. Put lots of your codebase into the context window.
2. Do work, but at each logical stopping point hit double escape to rewind to the context-filled checkpoint. You do not spend those tokens to rewind to that point.
3. Tell Claude your developer finished XYZ, have it read it into context and give high level and low level feedback (Claude will find more problems with your developer's work than with yours).
If you want to have multiple chats running, use /resume and pull up the same thread. Hit double escape to the point where Claude has rich context, but has not started down a specific rabbit hole.
cube00|6 months ago
It's crazy to think LLMs are so focused on pleasing us that we have to trick them like this to get frank and fearless feedback.
razemio|6 months ago
sixothree|6 months ago
lucasfdacunha|6 months ago
nojs|6 months ago
Telling it to “re-read” xyz files before starting works though.
bamboozled|6 months ago
oars|6 months ago
ewoodrich|6 months ago
insane_dreamer|6 months ago
FajitaNachos|6 months ago
qafy|6 months ago
trenchpilgrim|6 months ago
KptMarchewa|6 months ago
Wowfunhappy|6 months ago
rvnx|6 months ago
rtuin|6 months ago
SparkyMcUnicorn|6 months ago
gdudeman|6 months ago
gdudeman|6 months ago
i_have_an_idea|6 months ago
> Build context for the work you're doing. Put lots of your codebase into the context window.
If you don’t say that, what do you think happens as the agent works on your codebase.
gdudeman|6 months ago
If you're asking the agent to do chunks of work, this will get better results than asking it to blindly go forth and do work. Anthropic's best practices guide says as much.
If you're asking the agent to create one method that accomplishes X, this isn't useful.
bubblyworld|6 months ago
Astrology doesn't produce working code =P
seperman|6 months ago
mcintyre1994|6 months ago
I wonder if they’d also be better at things like telling you an idea is dumb if you tell it it’s from someone else and you’re just assessing it.
bgilly|6 months ago
I find it to be an entertaining reflection of the cultural nuances embedded into training data and reinforcement learning processes.
daveydave|6 months ago
gdudeman|6 months ago
It gives you the benefit of the doubt if you're coding.
It also gives you the benefit of the doubt if you're looking for feedback on your developers work. If you give it a hint of distrust "my developer says they completed this, can you check and make sure, give them feedback....?" Claude will look out for you.
yahoozoo|6 months ago
gdudeman|6 months ago