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DeepSeek Harness Might Be Where AI Is Actually Headed

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DeepSeek Harness Might Be Where AI Is Actually Headed

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431 segments

0:00

It seems like the current default path

0:01

is heading towards a very, very scary

0:03

place.

0:03

>> DeepSeek

0:04

>> DeepSeek

0:05

>> DeepSeek

0:05

>> And it is shaking this entire industry

0:08

to its core.

0:09

>> be really bad for China to be ahead in

0:11

AI capabilities.

0:14

>> China is beginning to engage in what

0:16

I'll call AI dumping.

0:17

>> About a third of corporations now are

0:19

supposedly using Chinese lightweight

0:21

open weight models that are cheaper.

0:22

>> If I were Xi, I would just dump cheap AI

0:24

into the US market. I think the US

0:26

market crashes.

0:27

>> They practically gave the whole thing

0:29

away for free.

0:31

>> It might be over for Claude and ChatGPT.

0:34

>> DeepSeek just released their own

0:35

harness, and this changes everything we

0:38

know about coding agents. It can do

0:40

everything that Claude code can do. It

0:42

can run commands, read files, but you

0:44

can use any model you want inside of

0:46

this harness. But do you know what's

0:47

very different? The price. I'm paying

0:49

$200 a month right now for Claude code

0:52

max.

0:52

>> Cursor is 20 bucks, but this new

0:54

DeepSeek harness is zero. Yes, you heard

0:57

that right. No free trial, not a starter

0:59

tier.

1:00

>> Zero. All you do is that you bring your

1:01

own API key.

1:02

>> There are a lot of people right now that

1:04

are making guides on YouTube right now

1:05

that are saying that you can stop your

1:06

Claude code subscription. However, you

1:08

should know by now that most setup

1:09

guides, they don't tell you the entire

1:11

truth. Because if you watch what happens

1:13

in those videos, they set it up, they

1:15

build some simple project, they say it

1:16

works, and then they're done. But no one

1:18

actually shows you the bills that break,

1:19

the things that actually matter, and the

1:21

thing that determines if you're going to

1:22

switch or not.

1:23

>> So, is DeepSeek harness actually as good

1:25

as people say it is? Well, I ran the

1:28

ultimate test against both Claude code

1:31

and Codex. Let's not waste any more

1:33

time. Let's get into it. Let's start

1:34

with the absolute most important thing

1:36

first, which of course is the pricing.

1:39

>> In order to have access to the Codex app

1:41

and use it for actually building stuff,

1:43

you would need the $20 a month

1:44

subscription, so ChatGPT plus, because

1:47

this gives the expanded access to Codex,

1:49

which you would need. The $8 a month

1:51

doesn't give you enough usage. It allows

1:53

you to build with the Codex app for

1:54

macOS and Windows. It has access to the

1:56

advanced reasoning models, which are the

1:58

ones that we're going to be using. These

1:59

things are pretty crucial if you're

2:01

serious about building anything. So,

2:02

Codex is $20 a month. Clo is writing it

2:05

in a little bit of a sketchy way, in my

2:07

opinion. They're writing $17 a month

2:09

right here. This is only if you take the

2:10

annual subscription. It is also $20 a

2:13

month when you pay monthly, which most

2:15

of us do. The problem with the Pro plan

2:17

is that you probably already know it. We

2:18

don't have that much usage on the Pro

2:20

plan. So, if you actually want to build

2:21

real stuff for your business, then you

2:23

would probably need the Max plan, which

2:25

is $100 a month. So, Clo is definitely

2:27

the expensive option. And then we have

2:29

the DeepSeek Harness, which was

2:31

literally just released. And the crazy

2:32

thing about this is that it's fully open

2:34

source. You can see, I can find the

2:36

GitHub repo right here. It has 177,000

2:39

stars already and almost 20,000 forks.

2:42

And the entire harness is open source,

2:45

which is pretty cool in my opinion.

2:46

However, one thing that we need to take

2:48

into consideration when we do the test

2:50

is that this is still in preview. They

2:52

literally just released this as a

2:53

preview to what is coming. And we're

2:55

going to talk more about this, but the

2:56

main thing that I think is super cool

2:58

about the DeepSeek Harness and is a

3:00

massive opportunity is the fact that

3:02

every capability is a plugin, they call

3:05

it, that can be swapped or recomposed.

3:08

So, we can literally change anything we

3:10

want about this harness. We can

3:12

customize it to our exact use case,

3:15

which is something we cannot do with

3:16

Codex or with Clo code, because that's

3:19

of course closed source. In this video,

3:21

I'll show you some insane use cases and

3:23

we're going to put it to the ultimate

3:24

test to see if this is just another hype

3:26

video or if it's actually something

3:28

that's good. Let's get into it. There

3:29

are multiple ways that you can install

3:31

the harness, and a lot of them are

3:33

pretty confusing and pretty technical,

3:34

but I'll show you the absolute easiest

3:36

way. Just copy this and paste it in,

3:39

say, install this, and it's going to

3:41

install it in a couple of minutes.

3:43

However, if you don't have Clo or Codex

3:45

installed, I've created this

3:46

installation guide, so you can just

3:47

follow this with these commands. I'm

3:48

basically just going to create a new

3:50

folder. I'm going to call it DeepSeek.

3:53

Then, I'm going to open up Visual Studio

3:55

Code. If you don't have it already, you

3:56

can just download it off the internet

3:58

just by searching Visual Studio Code

4:00

download, click open, and then choose

4:02

the DeepSeek folder that we just

4:03

created, just like this. Open the

4:06

terminal, and now we are ready. All we

4:08

have to do is just paste in this command

4:09

right here and hit enter. It's in the

4:12

installation docs. And this is going to

4:13

download and set up the harness for us.

4:16

When it's done, it's going to give you

4:17

this URL right here where the harness is

4:18

open. So, just paste that into your

4:20

browser, and now we are inside the brand

4:22

new harness that is still in preview.

4:25

There's a couple of things that we're

4:25

going to do before our test. The first

4:27

thing we're going to do is that we're

4:28

going to set it to full access. And for

4:30

the model, we're going to choose the

4:31

DeepSeek V4 Pro, which is the strongest

4:33

DeepSeek model. It's a lot cheaper than

4:36

the other models. I gave the pricing

4:38

from the Cloud API and the pricing from

4:40

the DeepSeek API. And what we'll be able

4:42

to see is that 5.6 Soul is 15 times more

4:45

expensive when it comes to the output

4:47

and 7 and 1/2 times more expensive when

4:49

it comes to the input. Opus is almost

4:51

the same as GPT 5.6 Soul. And then Fable

4:54

5 is 15 times more expensive on the

4:57

input and 25 times more expensive on the

5:01

output. So, if the DeepSeek V4 Pro is

5:04

just close to being as good as the other

5:06

models and can perform something that's

5:08

close, I would say that's a win for

5:09

DeepSeek. But, let's see. This is my

5:11

brutally honest test. We're actually

5:13

going to be starting with the hardest

5:14

and most exciting test first, which is

5:16

going to be running for a while. I want

5:18

all the models to try and build in Loom

5:20

clone with full authentication, full

5:23

back end, full database, absolutely

5:25

everything. So, what I'm going to do is

5:27

that I'm going to copy this entire

5:28

thing, and then I'm going to paste it

5:30

in. I'm going to set it to standard

5:31

mode, which is the full coding agent

5:33

with file editing and everything. We're

5:35

going to set it to the DeepSeek V4 Pro,

5:37

and we are going to set it to effort

5:39

high. So, this is what we're going to do

5:40

on all of them. I'm going to set it to

5:42

full access, so I don't have to sit

5:43

there and accept everything that it

5:44

does. And then we run it. And then we're

5:46

going to do the exact same for Claude.

5:48

We're going to paste in the exact same

5:50

prompt. We're going to use Opus 5, which

5:52

is the closest equivalent to the

5:53

DeepSeek model. It is still like 10

5:55

times the price. But again, what we're

5:57

testing right here is not necessarily

5:58

the model, it's the model and the

6:00

harness together. We set it to auto mode

6:02

and then we hit enter. And then we're

6:03

going to take the exact same prompt,

6:05

give that to Codex as well, use 5.6 with

6:09

high, and then run that prompt as well.

6:11

And there we have it. All three

6:13

harnesses are now running side by side

6:15

on the exact same prompt. I can see I

6:17

just forgot that Opus 5 of course needs

6:19

to be on high as well, same as the other

6:22

models, so it is fair. But now my guess

6:24

is that it's going to take a couple of

6:25

hours for each models now build this

6:27

out. So I'm very excited to see the

6:28

results. In the meantime, I want to show

6:30

you some extremely cool things you can

6:31

do inside of DeepSeek as well. That's

6:33

pretty unique to a harness that I've

6:35

actually never seen before. DeepSeek has

6:37

done something that's very cool that

6:38

I've never seen before inside of a

6:40

harness. Usually you're only able to see

6:42

the chat. You're not able to see what's

6:44

actually going on behind the scenes. But

6:46

we have this button right here,

6:47

trajectory, where we can literally see

6:49

all the tool calls, what the AI is

6:51

thinking, exactly what's going on

6:53

throughout this entire process. Because

6:55

it is open source, it allows us to

6:57

actually look behind what's going on,

6:59

which is extremely cool. And on top of

7:01

that, the customization that I talked

7:03

about earlier, we can go inside of

7:04

settings and then we can go inside of

7:05

plugins. And then inside of the plugin

7:07

list, we can literally enable and

7:09

disable every single tool inside of

7:11

here, which is pretty cool, not going to

7:13

lie. And because it's open source as

7:14

well, and we are running this harness

7:16

locally, we can actually update and tune

7:18

this to whatever we want. It's almost

7:20

like playing with Legos. All right, all

7:22

harnesses are running side by side. I'm

7:24

extremely excited to see the result of

7:27

how well this new harness performs

7:29

compared to Codex and Claude. Because if

7:31

it's even close, and we are paying 1/10

7:33

of the price, that would be such a

7:35

game-changer. Well, only time can tell.

7:38

This is going to take a couple of hours

7:39

before they are ready. Now comes the

7:40

part to I look at the result for what

7:42

these models and harnesses actually

7:44

built. We have three separate platforms

7:46

that look kind of similar. Some are

7:48

definitely better than other and I can't

7:49

even remember what platforms are which.

7:52

So, I'm going to look at them, give my

7:53

honest opinion about what platform I

7:55

think is best and then you'll see

7:57

exactly what harness and model is

8:00

actually best. So far, just looking at

8:02

this landing page right here, this looks

8:03

extremely good and clean. I really like

8:06

how it is designed. This honestly looks

8:08

very good. The pricing card they look

8:10

clean. It does look a bit vibe coded so

8:12

you will still need to put in some

8:13

effort when it comes to like making this

8:15

animation look not as vibe coded. But as

8:17

a landing page off of one prompt, I

8:19

think that's pretty good. Let's log in.

8:20

Already now running into a bug for the

8:22

first software. I'm going to fix the bug

8:24

so we can see the rest of the platform.

8:26

We just need to keep in mind that we

8:27

already have a bug on this platform. We

8:29

can't even log in. Okay, to be fair, it

8:30

wasn't an issue with the software. It

8:32

was just the port on our computer that

8:33

we were running it from. Let me log in

8:35

right quick. We receive an email like

8:36

this where we can just click open. This

8:38

email, to be fair, looks very good and

8:40

professional. So, that's pretty good.

8:41

And then we actually have an onboarding

8:43

that looks good. Start my first

8:44

recording. It asked us for our camera

8:46

right here. That's pretty cool. Let's

8:47

click allow this time. Allow for the

8:49

microphone and let's click start

8:51

recording. Entire screen. 1 2 3 testing.

8:54

1 2 3 testing. Is it working like it

8:56

should? This screen right here that we

8:57

just saw, that was a bit buggy though.

8:59

So, not the best user experience there.

9:01

Recording didn't start. Bug number two

9:03

that we need to fix. All right. Now it

9:05

actually uploaded this time. Let's see

9:07

if it actually works. It does. The

9:09

recording is kind of messed up but this

9:10

is, to be fair, what I saw on my screen.

9:12

So, now we have a fully functioning Loom

9:15

right here. Pretty impressive, not going

9:16

to lie. And it has the link that we can

9:19

send to people to share. This issue

9:21

right here with the images though, but

9:23

like we have a fully functioning app and

9:25

the UI honestly looks very, very good.

9:26

We even have multiple workspaces. And we

9:28

can even create folders. Not bad for the

9:31

first one. Let's check the other two.

9:32

This is Loomy. I actually have no idea.

9:35

I forgot which one was which. But we can

9:37

sign in here as well. We get this login

9:39

link right here where we can sign in

9:41

with a magic link. All right, we have an

9:43

onboarding again. Product demos,

9:44

continue to our first recording. There

9:46

we go. Allow, default camera, default

9:49

microphone. Not showing a preview right

9:51

here. Start recording. Hello, does this

9:54

work? Can we see the screen right here?

9:56

So, I bug with this software as well.

9:59

Let me try and fix that so we can have

10:00

three working products so we can compare

10:02

them one by one, but of course we got to

10:03

keep in mind how much time it actually

10:05

takes to fix it because so far none of

10:07

these harnesses has actually one shot

10:08

this. All right, fixed the first bug in

10:10

this software so we can click start

10:12

recording, choose our entire screen.

10:14

This is going to start the countdown and

10:16

I can say yo, yo, yo. Can you hear what

10:18

I'm saying? We can show this screen a

10:20

little bit. We can show this and then we

10:22

can stop the recording. Finalizing your

10:24

recording. That was actually pretty

10:26

quick this time. Paste this in and see

10:28

if it works. It does. And it shows me

10:30

this little squish though, but we have a

10:33

fully working Loop Count with audio. All

10:35

right, not bad. It doesn't have the

10:37

entire platform like the other one had,

10:39

so that's a bit of an L, but it can do

10:41

what we need it to do. And then we have

10:43

the last one also called Loomy. We can

10:45

also sign in here. The UI looks pretty

10:47

good here, not going to lie. Then we

10:48

have this like an email right here where

10:50

we can like create an account. We have a

10:52

very clean onboarding. This looks good

10:54

and then we can like start recording to

10:55

our screen. Let's see if it can actually

10:57

one shot this cuz none of these has been

10:59

able to one shot it so far, but it would

11:01

be cool if one of them can one shot it.

11:03

So, my like screen is down here in the

11:04

left hand corner. So, it's showing while

11:06

it's recording. Go a bit to this screen

11:08

as well. Go back a little bit and click

11:09

stop. Wrapping up your recording. Upload

11:11

problem once again. So, every single one

11:13

of the harnesses couldn't one shot this,

11:16

which is very, very interesting. Let me

11:17

fix that and be right back. All right,

11:19

and there we have it. Now the upload

11:21

works. Exact same bug as the other one,

11:23

so it's very interesting how no one

11:25

caught that one. But now we have a

11:26

perfect screen recording software. And

11:28

this software also has a my library tab,

11:31

but that doesn't work.

11:33

Let me try and sign into that again and

11:35

see if it works then. Cool, so this

11:36

platform also has an entire back end

11:38

that looks pretty good. I like this.

11:40

It's very intuitive. So, that definitely

11:42

gives an extra point as well. All right,

11:43

the time for the big reveal. What

11:45

harness and model actually created each

11:47

of these? The first one that had a code

11:50

of box was actually Codex that worked

11:52

for an hour and 46 minutes. So, it took

11:56

almost 2 hours to build up this

11:57

platform. And I'm going to say based on

11:59

the free we have right here, I like this

12:01

UI the best. It's nicer on the eye. This

12:04

looks very by coded, however, but like

12:06

in general, the platform looks nice.

12:08

Number two that's running on port 3100

12:10

was actually DeepSeek and you can see it

12:13

has run for 82 minutes. So, what is

12:15

that? Like an hour and 20 minutes? That

12:17

is not bad. Considering this model is

12:19

1/10 of the cost of the two other models

12:21

that we're using right now, it creating

12:23

this and creating a working product, we

12:25

had one bug we had to fix. It's honestly

12:27

really, really impressive. I still like

12:29

the UI better on this one. I like the

12:31

platform and how intuitive it was

12:32

better, but considering that it's an

12:34

open source model and that it's 1/10 of

12:36

the price, I'm honestly extremely

12:37

impressed. I didn't expect that. And

12:39

that also means the last one, this one

12:41

right here, the third one was made by

12:43

Claude Code. The crazy thing is that

12:45

Claude Code and Opus was the one that

12:46

took the longest by far. It took 3 hours

12:49

and 27 minutes to build out, which was

12:52

twice as long as DeepSeek and almost an

12:54

hour more than Codex. But what do you

12:56

guys think? Let me know in the comments

12:57

which UI, which logic that you like the

12:59

best and if you're going to be using the

13:00

DeepSeek harness yourself. If you want a

13:02

full guide for how you can take your AI

13:04

knowledge and turn it into a business,

13:05

then you can consider our community. You

13:07

can try it completely for free. It has

13:09

all of my Claude skills and it has the

13:11

7-day challenge that takes you from

13:13

nothing to building an AI business in 7

13:15

days. I'll leave a link in the

13:16

description below. It's safe to say that

13:17

Chinese AI is catching up. I'll say that

13:19

I like this one the best from Codex,

13:21

then probably Claude, and then DeepSeek.

13:24

But DeepSeek is not far from the other

13:25

models and it's 1/10 of the price. Thank

13:28

you so much for watching. Albert out.

Interactive Summary

This video examines the recently released open-source 'DeepSeek Harness', a coding agent that enables users to run various AI models with significantly lower costs compared to traditional alternatives like Claude Code or Codex. The host puts the DeepSeek harness to the test by tasking it, along with its competitors, to build a fully functional Loom clone. The results show that while all models required some debugging, the DeepSeek harness performed remarkably well, completing the task in a competitive timeframe and at a fraction of the cost, raising questions about the future of established AI coding assistants.

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