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Protecting Your Energy

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Protecting Your Energy

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664 segments

0:00

the true cost of AI coding. Yes, the

0:03

very very true cost of AI coding. You

0:05

may have seen this video floating around

0:07

for this last week in which Scott right

0:09

here discusses kind of the cost or the

0:12

negative and the positive effects of

0:13

what AI has done to the software

0:16

development arena. I think a lot of

0:18

people have been feeling the same thing

0:20

lately. It kind of has been showing up

0:22

all over the place. And I think that's

0:24

why this video I'm done coding with AI

0:28

just went so far so fast because so many

0:31

people recognize a truth that is kind of

0:33

growing which is that those of us who

0:36

are actually really good at coding. A

0:38

lot of us have had probably the hardest

0:40

transition in the AI coding world

0:43

because the things that I loved was

0:44

sitting down and typing. I didn't have

0:46

to go look up the difference between

0:47

slice and splice and JavaScript. I

0:49

didn't have to go look up documentations

0:51

for how to write things in Go or in Odin

0:54

or in Zigg or any of the languages that

0:56

I got good at cuz I could just use them.

0:58

It was a flow state. I just sat down and

1:00

the ideas in my head came alive and my

1:03

fingers were the translation layer. I

1:06

was I am a wizarded vim. Okay, I'm a

1:08

wizard, Harry. But it's impossible to

1:10

ignore the benefits of AI. Yes, you can

1:12

most certainly you can ignore them.

1:14

There's a lot of people that will be

1:15

very successful ignoring the cost of AI.

1:17

There's people that were very successful

1:19

writing code in Notepad. That doesn't

1:21

mean the average person's going to do

1:23

that. And that's why I think just so

1:25

many of us feel roughly the same thing

1:27

that AI is here. There's obviously a lot

1:30

of benefits to it. There's also just a

1:32

lot of negative things. And and the

1:34

negative things, they don't have to be

1:36

bad code. Yeah, sure there's some bad

1:38

code, but I mean, bad code's always been

1:40

around. It's a matter of fixing things

1:42

and stating it the right way. But that's

1:44

never really the problem, right? Like

1:46

the problem wasn't the bad code. The

1:49

problem was I liked just sitting down

1:51

and programming. But I also recognized

1:53

that that's a dying activity. That's an

1:55

activity that few people will still

1:57

enjoy. And slowly it will be relegated

1:59

to those who just do it for the sake of

2:02

doing it. Kind of like riding horses.

2:04

Fun side story. Uh I had a cow escape.

2:07

And the only way to get the cow back was

2:09

to actually have an expert horse rider

2:11

who did come in and rope the cow and get

2:14

it back onto my property. So, just to

2:16

throw it out there, it turns out there's

2:18

still people who make money riding

2:20

horses to this day. And so, this idea

2:22

that, you know, like horse riding

2:24

actually is just irrelevant completely

2:26

in a society full of cars actually,

2:28

well, it's not act it's technically not

2:30

true. All right. Anyway, sorry, back

2:32

back on topic here. Uh, but either way,

2:35

I wanted to talk about this video, the

2:37

true cost of AI coding, and more

2:39

specifically this fifth chapter. What

2:41

separates energizing versus unhealthy

2:43

use of AI? Now, of course, before we

2:46

discuss this, before we jump into the

2:48

meat and the potatoes, a quick thank you

2:50

to the sponsor, Vibe Coders, Silence.

2:53

Someone who's worked in enterprises

2:55

speaking. You know, simple ooth signin's

2:57

not that bad to program for real

2:59

enterprise applications that need single

3:01

sign on pass keys, user management,

3:03

roles and permission, enterprise

3:05

readiness and passwords and recovery.

3:09

uh that's a little bit more difficult

3:11

and that is where work OS comes in. Work

3:13

OS is trusted by a lot of the top

3:15

companies open AAI, Anthropic, Cursor

3:18

and a whole lot more. But not only that,

3:20

it's free for your first million users.

3:22

So that means for you that is 9999,999

3:27

free seats available. Pretty much no

3:28

matter what backend you have chosen,

3:30

there is an SDK available for you. So go

3:33

check out WorkOS at works.com.

3:36

Links in the description. All right, so

3:37

we're going to watch chapter five and

3:39

I'm going to yap about it. Yeah, we're

3:41

going to do an old-fashioned good

3:42

oldfashioned react here, people. So, I

3:45

also really wanted to know like what

3:46

separates energizing AI coding use from

3:49

one that's diminishing of your spirit or

3:52

energy or any of that stuff.

3:54

>> By the way, uh even before

3:57

AI and all this, there was energizing

4:00

and and kind of like diminishing

4:03

enthusiasm coding tasks. I think we all

4:05

understand this. There was this article

4:07

a long a long long long time ago that

4:10

effectively made this statement where

4:12

the most senior engineers can do the

4:14

most junior tasks because we are able to

4:17

kind of plow through a lot of the

4:19

monotony that a junior might struggle

4:21

with that we can actually stay t you

4:23

know stay on task stay focused and that

4:25

was like a huge level up for me in all

4:28

of my career was being able to be like

4:29

no I know how to say no I know how to do

4:31

the mundane I know how to take apart the

4:34

hard problems and just work through the

4:36

slog and that was a lot of programming

4:38

like most of programming isn't de you

4:40

know creating a compiler from first

4:43

principles a lot of it is just put pipe

4:46

A into pipe B make it happen even the

4:49

game I am working on at this point it's

4:51

like coming up with new card ideas and

4:53

the world's easiest programming like all

4:56

the programming to the game is just UI

4:59

and how the game operates there's

5:02

there's nothing left in it that's

5:03

actually difficult in other words It's

5:05

kind of monotonous at this point. It's

5:07

just a it's it's purely a gated idea

5:10

problem. I have to come up with ideas,

5:12

play it a whole bunch to see if it's

5:14

actually fun. Can I create lightning in

5:16

a bottle or not? If not, reject the

5:19

idea. Aaron Francis is the VP of

5:21

marketing and community at Larave. By

5:23

the way, Aaron Francis, good guy. Big

5:26

big fan. And he's a developer and

5:29

product builder. He's been building

5:31

things for a very long time. He reached

5:34

out to tell me he doesn't get any

5:36

negative mental health side effects from

5:38

AI coding, which is exactly why I wanted

5:40

to talk to him. By the way, that seems I

5:42

I think like anybody hearing that that

5:45

kind of feels crazy, right? Like I'm not

5:47

speaking of mental health side effects.

5:49

Look, cursor agent finished. Okay, guys.

5:51

I've been running this thing where I've

5:52

been creating this this uh testing

5:55

framework to test my game running. So, I

5:57

always have a bunch of agents playing,

5:58

searching for bugs and stuff, okay? So,

6:00

I get a lot of alerts. All right. I've

6:01

been getting a lot of alerts lately. I

6:03

definitely went through the psychosis

6:04

phase for sure. Um, and what that looked

6:08

like for me was just uh almost like

6:12

infinite possibility. And that part's a

6:15

little bit scary because you're like, I

6:17

could literally do anything. I think

6:19

that's is is extremely insightful. Let

6:21

me let me give let me give you a reason

6:23

why. Before when you had an idea, right,

6:25

you'd actually have to sit down and

6:26

you'd have to build out a little bit of

6:28

a prototype. By the way, pretty decent

6:31

square right there. Hold on. And we got

6:32

to actually do the square test. Square

6:34

test, boys. Did I actually hit an

6:35

allnatural square? I don't think I think

6:37

it's a little tall compared to wide. Uh

6:39

right now, what are we sitting at? We

6:41

are sitting at a 152x 15. Oh, yeah. 152

6:45

by Oh, wait a second. A 151x 154. Okay,

6:48

I think that was close. Okay, that was a

6:51

three pixel off perfect square. That

6:53

pretty good. That was pretty good. See,

6:55

back in the day, what ended up happening

6:56

is that you had an idea and the idea was

6:59

extremely not fleshed out, right? you

7:01

going, "Oh, I think this would actually

7:02

be really easy to be able to do." So,

7:04

you spent a little bit of time coming up

7:06

with an idea. And really, this is like a

7:08

backbrain idea. It's not something

7:10

you're actively engaged in. It's

7:11

something you're seeing every single

7:12

day. And all a sudden, you're like, "Oh,

7:13

I have an idea. This could actually be

7:14

really, really good." And then you spend

7:16

a lot of time coding, right? We're

7:18

talking about like 10x the amount of

7:20

time, 100x the amount of time you took

7:22

to come up with the idea versus actually

7:24

just implementing the very basic

7:25

version. And while you're implementing

7:27

it, you think through all these

7:29

different design ideas. And that way it

7:31

gives you so much like active time spent

7:33

thinking about an idea while you are

7:36

kind of like massaging the code and

7:38

using it. And so you're really coming up

7:40

with this like really tactile way you're

7:43

coming up with feedback. It's not just

7:44

simply you using the thing. It's also

7:47

you actually programming it and thinking

7:49

through its exact problem and going well

7:51

wait a second. If I shape the data this

7:53

way I can look at it this way which the

7:55

UI or the interaction can look like

7:57

this. and you kind of come up with this

7:58

like really cohesive kind of human

8:01

experience within whatever you're

8:03

building that actually makes it

8:04

compelling to use. And so then

8:06

theoretically the time you actually

8:08

spend coming up with the idea is larger

8:10

than the time you spend coding cuz all

8:12

the time you spend coding is also

8:13

feeding back into this idea design. By

8:15

the way, really bad square right there.

8:17

I I know you saw that. And then these

8:20

ideas while you come up with them, you

8:22

start integrating them back and then

8:23

this greatly extends how much coding you

8:26

have to do. And it becomes this kind of

8:27

really weird vicious feedback or

8:30

virtuous feedback. Not really sure which

8:31

one you want to call it where while you

8:34

code, you design and while you design,

8:37

you are coding. And so it just becomes

8:38

this kind of like really weird

8:40

undulating process in which you kind of

8:42

comes out really good products at the

8:44

end because not only did you code it,

8:46

but you also just like thought about it.

8:47

You spent so much active brain energy

8:50

coming up with ideas. But AI kind of

8:52

takes away this part, right? So if you

8:54

just vibe code it or even just light

8:56

reviewing of your code or even just

8:57

lightly reviewing what it's doing or

8:59

even heavily thinking about which tools

9:01

it's using and how they're supposed to

9:03

be using it, this time goes down

9:06

greatly, right? But that also means this

9:08

design time, you don't get this kind of

9:11

unique way in which you get to kind of

9:13

slowly come to the right conclusions

9:15

through high amounts of effort. Instead,

9:18

you have this really hyper like, oh,

9:20

make a decision now. Hey, make a

9:21

decision now. Pull it up. Use it. Okay,

9:23

I don't really like that. Make this

9:24

decision now. It's like this very kind

9:25

of myopic way to develop. But here's the

9:28

thing is every single idea that you have

9:31

can just come into the world like this.

9:34

This is the work cue I have for all the

9:36

different testing for everything that's

9:37

going up. And all of these I can click

9:39

into and see exactly what they did and

9:41

how much damage was done. And wow. Okay,

9:43

this actually honestly made it pretty

9:45

far. Good job me. Really liking what I'm

9:48

seeing right here. It has the names of

9:49

all the different, you know, trials that

9:51

it went through. Yeah, I can even see

9:52

the state of things running right now.

9:54

You can see I still have two things

9:55

running plus one of them finalizing and

9:57

kind of coming up with the strategy.

9:58

It's like I would have never created

10:00

this for my automation, but now I'm

10:02

creating this for my automation because

10:04

I have infinite ideas. But the thing is

10:06

is this right here, this is like

10:08

everything I asked for, but nothing I

10:10

actually wanted. Almost nothing on this

10:12

screen is useful, which actually feels

10:14

really frustrating because it really is

10:17

everything that I wanted. Like I can

10:19

start the next queue in any of my

10:21

different personalities. I can make it

10:23

generate a set of tasks to do for an

10:25

experiment to see if it can make itself

10:27

play the game better. I can come in here

10:28

and say, "Hey, just do a test run. Tell

10:31

me the output of your test run. Let's

10:32

graph it out. Let's see how you did. I

10:34

can do all of this. It's all available,

10:36

but it's all wrong. It's not right.

10:38

Like, I haven't had the time in here to

10:40

really come up with something good and

10:41

compelling." And that's what I think

10:43

he's talking about right here, which is

10:45

if you have something that can just spit

10:46

out anything, all of your ideas have

10:48

room to grow. And when all of your ideas

10:51

have room to grow, it's almost like you

10:53

can just turn into this like manic just

10:57

right like just like this this this

10:59

intense state where anything you think

11:01

of can be built. And the reality is most

11:03

the things you think of aren't good

11:05

ideas anyways. And so the old barrier to

11:08

entry was actually a great place for the

11:11

uh the refiner, right? The refiner came

11:13

in and said, "Okay, 99% of your gold is

11:15

just dross." It turns out that last

11:17

little bit is actual gold. Hey, since

11:19

you had to be really slow with your

11:21

decisions, you were more able to det

11:23

like to distinguish between the crap and

11:27

the good stuff. That gold, baby. So, I

11:29

just really like how he said that. Let's

11:32

just play it once more. Honestly, just

11:34

one for the boys. What that looked like

11:35

for me was just uh almost like infinite

11:40

possibility. And that part's a little

11:42

bit scary. I was ripping tokens till

11:44

midnight or two and I got I got a wife

11:47

and four kids at home. And so I'm like

11:49

putting the kids.

11:50

>> By the way, he's not even like he's not

11:51

even really selling it to you. He has a

11:53

beautiful wife and four beautiful kids,

11:56

but those kids were like he had four

11:58

kids two and under or some nonsense.

12:00

Like he the man is living life on expert

12:03

mode. So when he's just like, "Yeah, I

12:04

had four kids and a wife." It's just

12:05

like, "Bro, don't underell it. You're

12:08

staying up until midnight, 2:00 a.m.,

12:11

and then getting up at 6:00 a.m. Like,

12:12

this is going to make you feel insane.

12:15

Go to sleep, Aaron. You have four kids.

12:17

Go to sleep.

12:19

It's okay, Aaron. You good boy, Aaron.

12:22

You're you're doing a great job." And

12:24

this is what that this is what everybody

12:26

talks about when it comes to AI is that

12:28

you have so much opportunity to just

12:31

think of whatever you want and try it

12:33

out that it just like starts to eat your

12:35

brain alive. Like there were bugs back

12:37

in the day that would make me lose sleep

12:39

or there was features or challenges that

12:41

would make me lose sleep. And that's

12:43

because dude I was doing it for the love

12:44

of the game, right? I had one task I had

12:47

to really think about and I had to solve

12:49

it deeply. I had to become so dang

12:51

familiar with it. Now it's like, "Oh,

12:53

you can do anything. You can do

12:54

everything. You can do anything you've

12:56

ever wished or wanted." And now you just

12:57

can think of everything. Just think,

12:58

think, think, think. And you're just I

13:00

feel like my brain would go crazy. I get

13:02

the sirens call of wanting to stay up

13:04

late and constantly push on these things

13:06

because it is it's it's tantalizing.

13:09

Even if it's not about building

13:11

everything, sometimes even building one

13:13

thing, right? Like, oh man, hey, I'm I'm

13:16

I'm going about I'm waiting for my kids

13:18

soccer game to start. I got nothing to

13:19

do. You know, I could kick off one

13:20

little agent job right here because

13:22

there's that one little tiny UI bug.

13:24

It's super simple to fix. I could

13:25

probably get an agent just, you know,

13:26

just just little little I know. I know

13:28

it's just Saturday. It's not a big deal.

13:29

All a sudden, next thing you know, seven

13:31

days a week you're working. You never

13:33

are taking breaks and it's going to add

13:34

up and it's going to make you feel

13:36

horrible. Putting the kids down and I'm

13:38

like, "Ah, babe. I'm going to go talk to

13:39

my computer." Um, so that that has that

13:42

has definitely happened to me. Um, I

13:45

didn't burn out on that at all. I just

13:48

started to realize this is less of a

13:50

gold rush than I originally thought

13:52

because every other developer is doing

13:55

the exact same thing. And so I thought

13:57

instead of I'm going to build 40

13:59

products cuz now I have this godlike

14:01

power, I thought, whoa, so does

14:04

everybody else and nobody's buying

14:05

anything anymore cuz they're all just

14:07

building it. So much insight right

14:09

there. I I love Aaron Francis. If you

14:12

don't love Aaron Francis, what's wrong

14:13

with you? Okay, you got to you got to

14:15

love the man. But he's Dude, this is

14:17

just such another really good point

14:19

about the AI world. And I think somehow

14:21

we've all got it in our head and even

14:23

I've gotten it in my head that dude, you

14:25

got to go right now. You got to go right

14:26

now. Like things are changing super

14:27

super fast. I can see why that is so

14:30

tantalizing this like you're going to

14:31

get left behind to BS. I always think of

14:34

George Hots, right? Gios the love LLM

14:37

hate hype article. It's just like my

14:40

favorite article of all time, which is

14:42

what I don't like is two things. One,

14:44

this constant about some window

14:46

closing or the perpetual underclass or

14:48

falling hopelessly behind. This negative

14:50

valance hype not only is not true, it's

14:53

mostly designed to make you feel bad

14:54

about yourself and move to shitty San

14:56

Francisco. By the way, it's it's SF. SF

14:59

stands for San Francisco, by the way,

15:00

where everything really does suck like

15:02

how these people claim. And two, the

15:04

straw man jumped from oh hey it's a

15:06

fancy autocomplete smart compiler better

15:08

search engine to oh like it's going to

15:09

own the whole lite cone bro if you

15:11

aren't an SF and the right parties are

15:12

going to be the flash of light in the

15:14

sky one day and you're not even going to

15:15

know what happened but everything just

15:16

changed. I'll bet you everything that

15:18

this doesn't happen and ends it with my

15:20

favorite part. The people perpetuating

15:21

this are terrible people but the justice

15:23

is that this is how they feel inside all

15:26

the time themselves. It's a truly kind

15:28

of like this destructive mentality. I I

15:31

I don't know how this has arrived or

15:33

why. Is it Hustle porn that's causing

15:35

this? Like, is it Daario telling you

15:37

that all the jobs are going to be gone?

15:39

Sama letting you know just that, hey,

15:41

I'm just going to destroy the white

15:42

collar? Don't worry about it, though,

15:44

cuz you'll have tokens, bro. Hey, it's

15:46

going to be fantastic. We're going to

15:48

make everybody lose jobs, but we're

15:49

going to make infinity money. Even

15:51

though that very premise makes no sense.

15:55

How are you going to make money, bro, if

15:57

there's no jobs? What companies? who are

16:00

they going to sell to? The whole premise

16:03

is so stupid and but it's still it

16:05

infects so many people. I can't tell you

16:07

how many emails I get with people

16:09

freaking out, right? They're just like

16:12

hell. They're drowning. They're actually

16:14

being taken under wave by wave having

16:16

the riptide slowly pull them out and

16:18

that just terror and constant just

16:20

gasping for breath while being taken

16:22

under like I get it. I get that feeling.

16:25

I get that it is it is this constant

16:27

pull to be some sort of performative

16:29

nonsense. Don't go spend infinity

16:32

tokens. Instead, listen to what Aaron

16:35

has to say cuz this next part is just

16:36

like it's just my favorite.

16:37

>> So, like, let me scope it down to one or

16:40

two things and increase my vertical

16:42

ambition on those one or two things

16:45

because if I'm just ripping out to-do

16:47

lists or, you know, screen studio

16:49

ripoffs, like so is everybody else. And

16:52

so, I've had to change the shape of my

16:54

ambition. By the way, the amount of

16:55

people I do know that are actually

16:57

making a video editor is insane. At Open

16:59

Sauce, I sat down at a table with seven

17:03

creators. Three out of seven of them had

17:05

their own personal video editor they

17:07

were making with Claude Cody. It's just

17:08

like you're like, "Okay, this is crazy.

17:11

This is absolutely crazy." from being

17:13

broad to being deep because I do have a

17:16

moat in that area and now I don't feel I

17:19

don't feel like the um crazy excitement

17:23

of there's gold out west. I feel like ah

17:26

I'm I'm like curating my specific thing

17:29

that has this big moat and so I can just

17:32

go to bed because I'm not going to see

17:34

it launch on Twitter tomorrow. Even if

17:36

it does quote unquote launch on Twitter

17:39

tomorrow, the reality is when you take

17:41

your time and you keep building the same

17:43

thing until you get it into this perfect

17:45

shape, the exact thing that you've

17:47

always wanted and it has this really

17:50

good human intuitive feel, which some of

17:53

you, I hate to break it to, your

17:54

intuition is terrible, but you know,

17:56

besides for that and and if other people

17:58

feel it's deeply intuitive, they're

18:00

going to start using it. Everybody else

18:01

is going to have to chase after how you

18:04

are doing it as opposed to you just

18:06

constantly in this weird swirling chaos

18:08

of trying to figure out how other people

18:10

have done it. And I think that's what

18:12

he's attempting to say, which is just

18:13

build the thing. Okay? You having one

18:16

more day or one better night of sleep, a

18:19

probably will improve your decision-m by

18:20

a whole like a country mile. But even if

18:22

it even if it doesn't, let's just

18:24

pretend none of that matters. you're

18:26

going to just simply be at more peace

18:27

because you're not up against this

18:29

theoretical clock that's ticking. You're

18:32

just cruising. You're having a good

18:35

time. You're enjoying what you're

18:36

building and you're building what you

18:38

enjoy and you are trying to make

18:39

something that is meaningful and good.

18:41

And I know one of the critiques is going

18:43

to be like, "Well, hey, Primary, you

18:44

what are you talking about? You don't

18:45

have a job anymore. You you just make

18:47

YouTube videos. You don't know anything.

18:48

You don't even work anymore." Well, I I

18:49

do. I I've been building this game for a

18:52

long time. It's like 30,000 lines now.

18:54

35,000 lines. some enough lines of code

18:57

in there that uh every time I make a

18:59

change, you know, I have to be even more

19:00

and more thoughtful about the things I'm

19:02

doing. I have to measure performance all

19:04

the time. I have to make sure things are

19:06

really, really good. I have a backlog of

19:07

art that has to be made and I just want

19:09

to get it out. I want to make it work. I

19:11

want to make it work on a phone and then

19:13

I want to play it. Like that's the whole

19:15

point is that I want to play it a bunch

19:17

and really make something that I think

19:19

is fun and compelling. And that is

19:21

really, really hard. And for whatever

19:23

reason, I don't know why this is, I

19:25

always feel this great pressure to do it

19:27

as fast as possible. Like I just maybe

19:29

it's been the years in corporate America

19:31

that has made me feel this way, but I

19:33

just have this great pressure that I put

19:35

on myself that I must succeed at this

19:38

because I I need to succeed in this. And

19:39

so when I when I do this, like I feel a

19:42

huge amount riding on what I do. And

19:44

it's very very tempting to be like, "Oh,

19:46

just slop it up. Just make it go really

19:48

really fast." Because obviously I

19:49

slopped this up and man, it did go fast.

19:51

I mean, look at look at this. Look at

19:53

this container right here. There is a

19:55

bar on this side, a bar on this side,

19:57

and a bar [laughter] on this side. I

19:59

mean, this is just the worst interface

20:01

in the universe. But nonetheless, I feel

20:05

this pressure to succeed. And so, I've

20:08

had to also just simply learn that the

20:11

point of the task is to love the thing

20:13

you're creating. And it's something I've

20:14

just been really trying to like walk

20:16

myself through. Even though I say the

20:18

thing and I objectively know it's the

20:21

correct thing to do, it's still so easy

20:24

to bamboozle yourself. Anyways, that's

20:26

the thing I just wanted to talk about.

20:28

There's a whole bunch of other stuff

20:29

inside this video. I think you should

20:30

take the time to watch it. It talks

20:32

about like losing skills or people

20:34

losing skills or feel like they're

20:35

losing skills or people feeling like

20:37

they're having enjoyment. A lot of good

20:38

data in this video. I think at the end

20:40

of the day, the thing that you have to

20:42

focus on is what's going to be the thing

20:44

that makes you come back tomorrow.

20:46

There's this thing I I I think about

20:47

when I when I'm trying to get my swell

20:49

on, baby, which is that there is the

20:52

ideal workout, the workout you should be

20:54

doing, right? There is the one that is

20:56

going to give you the most bang for your

20:58

buck. But there's a lot of people who if

20:59

they always did the ideal, they wouldn't

21:02

do anything at all because the ideal is

21:03

just too hard. So instead, finding the

21:06

thing that makes you want to come back

21:07

again tomorrow. Some learning. If you

21:09

find that you really do like programming

21:11

and it's just something that makes you

21:13

happy, well, just make room for it first

21:15

thing in the morning, like do it for an

21:16

hour and just like love the activity,

21:18

have a little sectioned out piece of the

21:20

code where it's like, "Yeah, yeah, this

21:21

one feature, this is just my feature.

21:23

It's this the one I'm making." And then

21:24

while you're prompting and doing all the

21:26

other things, you're always like, "Okay,

21:27

okay, set up the interface for this part

21:28

of the thing to look like this. Okay,

21:30

yeah, yeah, give me the DTS file. Let me

21:31

look at Okay, yeah, make it like this

21:32

and make it like this because, you know,

21:33

when I'm doing my programming, it's

21:35

going to be exactly how I like it." And

21:36

that's great. And then you will find

21:38

that you're still liking having control

21:40

and being happy about what you're

21:41

building. Like there's there's ways

21:42

around it. This isn't some zero sum game

21:44

where you have to just be building

21:46

harnesses that build harnesses that

21:48

build programs. Okay? We don't have to

21:50

become agent herders. All right? I'm

21:53

also kind of convinced that most of

21:55

those people that are doing it,

21:56

including myself with my own testing

21:58

framework, the biggest outcome of all of

22:01

this is simply burning a lot of tokens

22:03

and giving some AI providers a lot of

22:06

money. Anyways, I just I I just I just

22:08

felt like I had to yap about it. I don't

22:09

know. I've just been thinking about

22:11

these things for a long time and I just

22:13

I just wanted to I don't know. I just

22:15

wanted to yap a whole bunch. Anyways,

22:17

really appreciate you guys. You know, I

22:18

I do miss doing a lot of uh the live

22:21

react stuff. That that was just so much

22:23

fun. I think I'm going to pick it back

22:25

up. I think I'm going to keep doing it.

22:26

Uh just because I I I I like yapping.

22:29

I'd like to keep doing it. And you know

22:30

what? My voice hurts. We're going to

22:32

figure it out. We're just going to

22:33

figure it out. We're going to do some

22:34

yapping. Okay. All right. So, I'm going

22:36

to try to make sure Tuesday, Fridays,

22:39

and maybe a little bit of Wednesday

22:40

before the standup. Awesome streams, lot

22:43

of yapping articles to cover. Okay. Hey,

22:46

be there. The name

22:49

is the primogen.

Interactive Summary

The video explores the emotional and practical impact of AI on software development, drawing inspiration from a discussion on the cost of AI coding. It highlights the tension between the efficiency of AI-driven coding and the loss of the "flow state" and creative design time that manual programming previously provided. The host shares personal experiences regarding burnout, the pressure to constantly "ship" products, and the importance of finding joy in the craft. Ultimately, the video advocates for intentional, creative engagement with coding to prevent the feeling of being an "agent herder" and suggests that prioritizing meaningful development over speed can lead to more sustainable and fulfilling results.

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