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building

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If a product can be built from a phone, the harder question becomes what still needs a founder's judgment.

The answer is usually not typing speed.

It is choosing the smallest useful version and knowing when the result is good enough to ship.

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Be honest:

Are you building in public to get feedback
or to make yourself ship?

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The useful part of an AI coding workflow is not asking it to write more code.

It is forcing the work into one issue, one isolated workspace, and one reviewable diff.

That makes speed easier to inspect instead of merely easier to celebrate.

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@mateusz_palak yes it is nice choice

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i wrote a small bash script for my linear → codex workflow.

it can:
find the next unblocked linear issue
create a separate git worktree for it
build a scoped codex prompt from the issue
run codex on that issue only
let me review and test the diff
commit it
post the result back to linear
optionally mark the issue done

the part i like most is the isolation:
one issue.
one worktree.
one codex run.

much easier to control than giving an agent a huge feature and hoping it stays in scope.
thinking of publishing the script if anyone wants it.

here is the script
https://t.co/7HCjd2Y3n5

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@letdarky @Sparky_AIz yes, followed you!

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Hey, hoping to connect with people who are into,

AI,
Building in public,
Saas,
Startup,
You get what I mean.

Lets follow each other 😊
#connect

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@TusharKapil003 citedlaunch or reachlee? congrats btw!

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@Arpitsharma_0 first few sales are usually the hardest

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@denisyurchak @yadaphone i am just starting on x. how does x show your launch post to that many people? I see that you got a lot of followers, but should have been low when you made those posts right?

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@lukabdz Way to go, will be watching.

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@buildwtim so what should come next after the 3rd or 4th step

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@marclou time to update your bio then

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@mjdhameliya @launchigniter @apppage_co @deepcleanmac thats awesome, followed you!

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@TheOnlyTechDude yep, thats the way.

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Giving Codex an entire feature is usually a mistake.

Current workflow of my side projects:

ChatGPT -> break the feature into implementation-sized tasks
Linear -> one issue = one clear unit of work
Codex -> solve exactly that issue, test it, commit it

Then repeat.

AI coding gets much more reliable when the agent works through a ticket queue instead of being told to “build the feature.”

Curious how you are structuring your AI coding workflow.

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@GarvSanwariya mostly in the ticket. i try to make the issue self contained with scope, expected behavior, edge cases, and what tests should pass.

but sometimes on the fly too lol.

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@anah_sahh Hey. Followed back

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@itskamrankhan Hey. Followed you

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@lukabdz The earlier you launch the better.