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I use CC/Codex/Cursor.

CC is mostly my default for large tasks / features (ex. Plan > execute plan ) Biggest gripe with Claude Code is that it is painfully slow relative to the other two.

Cursor for small stuff like bug fixes since it has a lot of models to choose from. I love the review/ diff / checkpoint features. It's planning feature is on par with CC. I'd probably use Cursor as primary driver if it had better cost efficiency. Next version or two of Composer may fill that gap in cost/quality/speed.

Codex isn't allowed at my work, but I use it for personal projects. It has the best balance of quality / cost / speed even if it's planner is poor and quite frankly the codex harness needs to catch up with the other two.

CC for quality / cost. Cursor for quality / speed. Codex for balance of the 3.


Another N=1 here, a family friend in their late 60s died of a heart attack while biking.

I played it in Twilight Princess and I did not have fun and Link probably didn't either.

Having had my 2FA Facebook account banned 3 years ago because a bot signed up under my email for Instagram (which I did not have), I can confidently say the email verification issue has been a problem for a long time at Meta.

At least in America, most people do not like nuanced takes on issues / people, even if you are being playful.

I'm afraid you need to go fit inside one of the echo chambers and conform to a given narrative good sir.


Not a YEC, but you, the sentient being made in God's image, don't join a MineCraft world that is still a molten ball of lava/magma with no solid surface.


Indeed, although today I got on a plane at LaGuardia and they made me check my carry on at the gate even though there was plenty of space in the overhead bins ( 60% capacity flight, about half of us had to do this) so YMMV.

No idea why they made us do that, but I had to grab my bag at the luggage claim.


I do this kind of parallelism with a little merge request tool I slopped together. I spin up multiple small agents and assign them specific code review tasks (security, coding standards, etc.) and have it spit out a gitlab API draft json object with code examples for the MR I can deterministically validate against. If it fails to insert code examples (depending on the task) and the proper json object schema, I have "ask it to try again" logic in place.

Works fine, forcing LLMs to output parsable responses is a good workaround to get them to do what you want until they improve. It also allows you to use the fast models (ex. I spin up the Gemini 3.1 flash lite model for these tasks) to have these tasks done in seconds rather than minutes.


Similar to your method


Indeed, how could it not have been more obvious than when Biden made it illegal for the railroad workers to strike in Dec. 2022. The sides are the same when it comes to an actual threat to the status quo.


I love a good cathartic rant


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