WEBVTT

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Lately

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we’re

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seeing

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more

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projects

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aimed

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at

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replacing

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a

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programmer’s

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job

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Unlike

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tools

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like

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Github

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Copilot

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which

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boost

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a

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programmer’s

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productivity

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these

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aim

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to

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handle

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the

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entire

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task

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on

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their

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own

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One

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such

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tool

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is

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Pythagora

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or

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GPT

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Pilot

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You

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just

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describe

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the

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software

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you

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want

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and

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it

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breaks

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down

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the

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project

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into

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tasks

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starting

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to

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build

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your

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application

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I

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decided

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to

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take

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it

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for

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a

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spin

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and

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here’s

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what

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I

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found

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My

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first

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impression

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It’s

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promising

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but

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not

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yet

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mind

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blowing

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Given

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its

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rapid

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development

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and

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the

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pace

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of

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the

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underlaying

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AI

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advancement

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I’m

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optimistic

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about

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its

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future

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At

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the

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moment

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these

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tools

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are

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about

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on

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par

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with

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a

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junior

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developer

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albeit

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not

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the

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best

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one

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Even

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in

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these

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early

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stages

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I’m

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struck

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by

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the

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potential

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of

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Pythagora

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It’s

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not

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just

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about

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future

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possibilities

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even

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now

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there

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are

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real

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scenarios

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where

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this

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tool

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could

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effectively

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take

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over

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tasks

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usually

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done

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by

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human

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programmers

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Seeing

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Pythagora

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build

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a

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project

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from

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the

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ground

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up

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was

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a

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glimpse

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into

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a

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future

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where

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AI

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tools

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don’t

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just

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assist

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but

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actively

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lead

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in

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software

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development

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For

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my

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test

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I

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asked

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it

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to

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create

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a

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basic

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cashflow

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monitoring

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app

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The

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app

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needed

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to

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have

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user

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authentication

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with

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multi

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factor

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authentication

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a

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dashboard

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with

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graphs

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for

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income

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expenses

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and

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net

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company

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funds

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plus

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a

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way

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to

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manage

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this

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financial

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data

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Getting

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started

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was

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easy

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I

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installed

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the

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Visual

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Studio

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Code

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plugin

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and

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opted

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for

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the

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Starter

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package

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giving

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me

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20

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hours

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of

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GPT

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Pilot

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for

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100

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a

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month

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After

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setting

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up

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I

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gave

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it

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a

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brief

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description

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of

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the

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app

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I

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wanted

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Pythagora

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quickly

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checked

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for

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required

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services

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like

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Node

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js

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MongoDB

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etc

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then

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divided

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the

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project

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into

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tasks

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and

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got

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to

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work

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First

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it

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set

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up

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the

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database

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schema

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and

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began

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coding

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After

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each

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task

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it

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prompted

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me

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to

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test

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the

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work

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For

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the

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API

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testing

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it

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provided

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CLI

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commands

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and

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as

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the

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UI

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developed

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it

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guided

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me

00:02:19.493 --> 00:02:19.773
through

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the

00:02:19.913 --> 00:02:20.333
testing

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process

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If

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I

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encountered

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any

00:02:22.824 --> 00:02:23.370
issues

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I’d

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report

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them

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in

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the

00:02:24.566 --> 00:02:24.886
chat

00:02:24.943 --> 00:02:25.285
window

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Pythagora

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would

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ask

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for

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details

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and

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begin

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debugging

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followed

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by

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more

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testing

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The

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whole

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process

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took

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just

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over

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four

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hours

00:02:35.160 --> 00:02:35.592
including

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waiting

00:02:36.005 --> 00:02:36.470
times

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The

00:02:37.430 --> 00:02:37.670
app

00:02:37.710 --> 00:02:37.830
was

00:02:37.870 --> 00:02:38.070
built

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from

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scratch

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and

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mostly

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worked

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It

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didn’t

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manage

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to

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do

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everything

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like

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setting

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up

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recurring

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transactions

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and

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there

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were

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some

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other

00:02:46.659 --> 00:02:46.989
minor

00:02:47.069 --> 00:02:47.549
issues

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and

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odd

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choices

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But

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I

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think

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clearer

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instructions

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with

00:02:51.436 --> 00:02:51.940
prompting

00:02:51.980 --> 00:02:52.180
might

00:02:52.212 --> 00:02:52.340
have

00:02:52.400 --> 00:02:52.580
led

00:02:52.606 --> 00:02:52.658
to

00:02:52.692 --> 00:02:52.896
better

00:02:52.966 --> 00:02:53.456
results

00:02:53.829 --> 00:02:54.415
My

00:02:54.463 --> 00:02:54.655
goal

00:02:54.703 --> 00:02:54.975
wasn’t

00:02:55.001 --> 00:02:55.053
to

00:02:55.093 --> 00:02:55.213
see

00:02:55.266 --> 00:02:55.372
if

00:02:55.398 --> 00:02:55.450
it

00:02:55.476 --> 00:02:55.606
could

00:02:55.646 --> 00:02:55.846
build

00:02:55.886 --> 00:02:55.926
a

00:02:55.979 --> 00:02:56.403
complete

00:02:56.608 --> 00:02:56.878
market

00:02:56.931 --> 00:02:57.196
ready

00:02:57.266 --> 00:02:57.756
product

00:02:57.976 --> 00:02:58.396
but

00:02:58.422 --> 00:02:58.474
to

00:02:58.540 --> 00:02:58.870
gauge

00:02:58.902 --> 00:02:59.030
what

00:02:59.056 --> 00:02:59.188
it’s

00:02:59.248 --> 00:02:59.668
capable

00:02:59.801 --> 00:03:00.067
of

00:03:00.467 --> 00:03:00.707
And

00:03:00.760 --> 00:03:00.866
on

00:03:00.898 --> 00:03:01.026
that

00:03:01.092 --> 00:03:01.422
front

00:03:02.142 --> 00:03:02.542
I’m

00:03:02.574 --> 00:03:02.862
impressed

00:03:03.208 --> 00:03:03.820
It’s

00:03:03.873 --> 00:03:04.297
exciting

00:03:04.323 --> 00:03:04.375
to

00:03:04.415 --> 00:03:04.615
think

00:03:04.655 --> 00:03:04.855
about

00:03:04.895 --> 00:03:05.095
where

00:03:05.127 --> 00:03:05.255
this

00:03:05.313 --> 00:03:05.893
technology

00:03:05.933 --> 00:03:06.133
could

00:03:06.213 --> 00:03:06.373
be

00:03:06.426 --> 00:03:06.532
in

00:03:06.572 --> 00:03:06.612
a

00:03:06.692 --> 00:03:07.012
year

00:03:07.092 --> 00:03:07.252
or

00:03:07.364 --> 00:03:07.812
five

00:03:08.092 --> 00:03:08.692
The

00:03:08.754 --> 00:03:09.250
progress

00:03:09.276 --> 00:03:09.328
it

00:03:09.368 --> 00:03:09.488
has

00:03:09.584 --> 00:03:09.968
made

00:03:10.108 --> 00:03:10.528
and

00:03:10.568 --> 00:03:10.688
its

00:03:10.744 --> 00:03:11.248
potential

00:03:11.328 --> 00:03:11.888
utility

00:03:11.941 --> 00:03:12.047
in

00:03:12.087 --> 00:03:12.367
current

00:03:12.447 --> 00:03:13.167
scenarios

00:03:13.695 --> 00:03:13.887
even

00:03:13.940 --> 00:03:14.046
at

00:03:14.072 --> 00:03:14.124
an

00:03:14.177 --> 00:03:14.442
early

00:03:14.535 --> 00:03:15.000
stage

00:03:15.533 --> 00:03:15.639
is

00:03:15.689 --> 00:03:16.189
noteworthy

00:03:16.535 --> 00:03:17.465
Given

00:03:17.491 --> 00:03:17.621
these

00:03:17.682 --> 00:03:18.414
developments

00:03:18.787 --> 00:03:18.893
my

00:03:18.950 --> 00:03:19.292
advice

00:03:19.345 --> 00:03:19.451
to

00:03:19.496 --> 00:03:19.766
fellow

00:03:19.819 --> 00:03:20.402
programmers

00:03:20.482 --> 00:03:20.642
is

00:03:20.722 --> 00:03:21.122
clear

00:03:21.388 --> 00:03:22.318
start

00:03:22.371 --> 00:03:23.115
familiarizing

00:03:23.168 --> 00:03:23.592
yourself

00:03:23.608 --> 00:03:23.672
with

00:03:23.725 --> 00:03:23.990
these

00:03:24.056 --> 00:03:24.386
tools

00:03:24.492 --> 00:03:24.704
as

00:03:24.768 --> 00:03:25.024
soon

00:03:25.050 --> 00:03:25.102
as

00:03:25.173 --> 00:03:25.741
possible

00:03:26.555 --> 00:03:27.257
Understanding

00:03:27.297 --> 00:03:27.417
how

00:03:27.443 --> 00:03:27.495
to

00:03:27.527 --> 00:03:27.655
make

00:03:27.687 --> 00:03:27.815
them

00:03:27.879 --> 00:03:28.135
work

00:03:28.161 --> 00:03:28.213
in

00:03:28.245 --> 00:03:28.373
your

00:03:28.453 --> 00:03:28.853
favor

00:03:29.013 --> 00:03:29.333
is

00:03:29.393 --> 00:03:29.573
not

00:03:29.621 --> 00:03:29.813
just

00:03:29.866 --> 00:03:29.972
an

00:03:30.036 --> 00:03:30.612
advantage

00:03:31.198 --> 00:03:31.330
it’s

00:03:31.392 --> 00:03:31.888
becoming

00:03:31.968 --> 00:03:32.048
a

00:03:32.120 --> 00:03:32.768
necessity

00:03:33.248 --> 00:03:34.048
As

00:03:34.128 --> 00:03:34.768
Pythagora

00:03:34.828 --> 00:03:35.008
and

00:03:35.068 --> 00:03:35.488
similar

00:03:35.674 --> 00:03:36.046
AI

00:03:36.126 --> 00:03:36.526
tools

00:03:36.617 --> 00:03:37.163
evolve

00:03:37.755 --> 00:03:37.961
they’re

00:03:38.001 --> 00:03:38.201
bound

00:03:38.227 --> 00:03:38.279
to

00:03:38.336 --> 00:03:38.678
become

00:03:38.731 --> 00:03:38.837
an

00:03:38.890 --> 00:03:39.314
integral

00:03:39.394 --> 00:03:39.714
part

00:03:39.740 --> 00:03:39.792
of

00:03:39.812 --> 00:03:39.872
the

00:03:39.925 --> 00:03:40.508
programming

00:03:40.580 --> 00:03:41.228
landscape

00:03:41.438 --> 00:03:42.348
Getting

00:03:42.388 --> 00:03:42.588
ahead

00:03:42.614 --> 00:03:42.666
of

00:03:42.686 --> 00:03:42.746
the

00:03:42.826 --> 00:03:43.226
curve

00:03:43.286 --> 00:03:43.466
now

00:03:43.506 --> 00:03:43.706
could

00:03:43.768 --> 00:03:44.574
significantly

00:03:44.644 --> 00:03:45.134
benefit

00:03:45.166 --> 00:03:45.294
your

00:03:45.362 --> 00:03:45.770
future

00:03:45.841 --> 00:03:46.409
projects

00:03:46.469 --> 00:03:46.649
and

00:03:46.729 --> 00:03:47.209
career