We've all heard of the term vibe coding,
We've all heard of the term vibe coding, the ability to instantly prototype your
the ability to instantly prototype your
the ability to instantly prototype your apps using natural language as the AI
apps using natural language as the AI
apps using natural language as the AI dynamically generates all the code for
dynamically generates all the code for
dynamically generates all the code for your project. This concept was first
your project. This concept was first
your project. This concept was first coined by Andre Kaparthy and it's
coined by Andre Kaparthy and it's
coined by Andre Kaparthy and it's perfectly captured the emerging shift in
perfectly captured the emerging shift in
perfectly captured the emerging shift in how we build software. Now, Kaparthi has
how we build software. Now, Kaparthi has
how we build software. Now, Kaparthi has also now introduced another powerful
also now introduced another powerful
also now introduced another powerful concept called context engineering.
concept called context engineering.
concept called context engineering. Recently, Shopify CEO Toby made a
Recently, Shopify CEO Toby made a
Recently, Shopify CEO Toby made a statement on Twitter that resonated with
statement on Twitter that resonated with
statement on Twitter that resonated with many in the AI community where he had
many in the AI community where he had
many in the AI community where he had stated that I've really like the term
stated that I've really like the term
stated that I've really like the term context engineering over prompt
context engineering over prompt
context engineering over prompt engineering. It describes the core
engineering. It describes the core
engineering. It describes the core skills better, the art of providing all
skills better, the art of providing all
skills better, the art of providing all the context for the task to be plausibly
the context for the task to be plausibly
the context for the task to be plausibly solvable by the large language model.
solvable by the large language model.
solvable by the large language model. Kaparthi had then expanded on this,
Kaparthi had then expanded on this,
Kaparthi had then expanded on this, emphasizing that it's no longer about
emphasizing that it's no longer about
emphasizing that it's no longer about writing clever prompts. It's about
writing clever prompts. It's about
writing clever prompts. It's about context engineering which is where you
context engineering which is where you
context engineering which is where you carefully curate the right precise
carefully curate the right precise
carefully curate the right precise information for the large model to
information for the large model to
information for the large model to perform at its best. It's complex blend
perform at its best. It's complex blend
perform at its best. It's complex blend of science, intuition, and system design
of science, intuition, and system design
of science, intuition, and system design that powers real world AI applications
that powers real world AI applications
that powers real world AI applications far beyond what people call chat GBT
far beyond what people call chat GBT
far beyond what people call chat GBT rappers. We're entering this new phase
rappers. We're entering this new phase
rappers. We're entering this new phase where context engineering may become a
where context engineering may become a
where context engineering may become a core skill of AI assisted development.
core skill of AI assisted development.
core skill of AI assisted development. Just as Vive coding revolutionized
Just as Vive coding revolutionized
Just as Vive coding revolutionized prototyping, context engineering is
prototyping, context engineering is
prototyping, context engineering is about to transform how we think, build,
about to transform how we think, build,
about to transform how we think, build, and collaborate with AI systems. But
and collaborate with AI systems. But
and collaborate with AI systems. But let's take a step back and explain why
let's take a step back and explain why
let's take a step back and explain why this conversation even came up in the
this conversation even came up in the
this conversation even came up in the first place. There was a study done by
first place. There was a study done by
first place. There was a study done by Codo and it focused on the state of AI
Codo and it focused on the state of AI
Codo and it focused on the state of AI code quality. They surveyed huge numbers
code quality. They surveyed huge numbers
code quality. They surveyed huge numbers of developers and one thing stood out
of developers and one thing stood out
of developers and one thing stood out the most. Most developers, 76.4%age,
the most. Most developers, 76.4%age,
the most. Most developers, 76.4%age, four percentage don't trust AI generated
four percentage don't trust AI generated
four percentage don't trust AI generated code without human review. The main
code without human review. The main
code without human review. The main reason why is because hallucinations and
reason why is because hallucinations and
reason why is because hallucinations and mistakes still happen way too often. Now
mistakes still happen way too often. Now
mistakes still happen way too often. Now the problem isn't that AI coding is bad.
the problem isn't that AI coding is bad.
the problem isn't that AI coding is bad. The problem is when AI gets shipped
The problem is when AI gets shipped
The problem is when AI gets shipped without human review. This is because
without human review. This is because
without human review. This is because right now the biggest gap in AI coding
right now the biggest gap in AI coding
right now the biggest gap in AI coding tools is context. AI often doesn't have
tools is context. AI often doesn't have
tools is context. AI often doesn't have enough of it and it completely misses it
enough of it and it completely misses it
enough of it and it completely misses it most of the times. Which is why on this
most of the times. Which is why on this
most of the times. Which is why on this channel I showcased a couple of things
channel I showcased a couple of things
channel I showcased a couple of things like taskmaster. You have context 7. And
like taskmaster. You have context 7. And
like taskmaster. You have context 7. And without these tools, the AI doesn't get
without these tools, the AI doesn't get
without these tools, the AI doesn't get the right context it needs for the AI to
the right context it needs for the AI to
the right context it needs for the AI to generate the correct code. That's why
generate the correct code. That's why
generate the correct code. That's why context engineering is something that
context engineering is something that
context engineering is something that matters. We don't just need better AI.
matters. We don't just need better AI.
matters. We don't just need better AI. We need better structure and better ways
We need better structure and better ways
We need better structure and better ways to feed the right information to the AI
to feed the right information to the AI
to feed the right information to the AI so that it can actually succeed with its
so that it can actually succeed with its
so that it can actually succeed with its generation. This is why today I'm going
generation. This is why today I'm going
generation. This is why today I'm going to be showcasing context engineering a
to be showcasing context engineering a
to be showcasing context engineering a template that was developed by Cole
template that was developed by Cole
template that was developed by Cole Medan and he is absolutely amazing guys.
Medan and he is absolutely amazing guys.
Medan and he is absolutely amazing guys. He is the one who had created this
He is the one who had created this
He is the one who had created this template which will drastically improve
template which will drastically improve
template which will drastically improve your code generation with context
your code generation with context
your code generation with context engineering. I highly recommend that you
engineering. I highly recommend that you
engineering. I highly recommend that you take a look at his channel. He does a
take a look at his channel. He does a
take a look at his channel. He does a lot of in-depth tutorials on various
lot of in-depth tutorials on various
lot of in-depth tutorials on various sorts of AI tooling as well as plugins
sorts of AI tooling as well as plugins
sorts of AI tooling as well as plugins and different concepts. But today we're
and different concepts. But today we're
and different concepts. But today we're going to be showcasing context
going to be showcasing context
going to be showcasing context engineering in action and showcasing why
engineering in action and showcasing why
engineering in action and showcasing why it truly matters and how it will help
it truly matters and how it will help
it truly matters and how it will help you. Now just to briefly reiterate what
you. Now just to briefly reiterate what
you. Now just to briefly reiterate what context engineering is. It's a skill of
context engineering is. It's a skill of
context engineering is. It's a skill of carefully selecting and organizing and
carefully selecting and organizing and
carefully selecting and organizing and even managing the right information that
even managing the right information that
even managing the right information that an AI or an AI agent needs at each step
an AI or an AI agent needs at each step
an AI or an AI agent needs at each step to perform a task efficiently and
to perform a task efficiently and
to perform a task efficiently and effectively without overwhelming it or
effectively without overwhelming it or
effectively without overwhelming it or missing critical details. And this is a
missing critical details. And this is a
missing critical details. And this is a visual way to see how it basically
visual way to see how it basically
visual way to see how it basically functions. With context engineering, you
functions. With context engineering, you
functions. With context engineering, you have all these different context that
have all these different context that
have all these different context that will be used. We first need to
will be used. We first need to
will be used. We first need to understand this definition because it's
understand this definition because it's
understand this definition because it's not a single prompt or something that
not a single prompt or something that
not a single prompt or something that you just send into the large language
you just send into the large language
you just send into the large language model. Context is everything the model
model. Context is everything the model
model. Context is everything the model sees before it actually generates. This
sees before it actually generates. This
sees before it actually generates. This entails the state, the history, the user
entails the state, the history, the user
entails the state, the history, the user prompt, the available tools, rag
prompt, the available tools, rag
prompt, the available tools, rag instructions, as well as long-term
instructions, as well as long-term
instructions, as well as long-term memory. And with this full context, it's
memory. And with this full context, it's
memory. And with this full context, it's able to refer to all these things in one
able to refer to all these things in one
able to refer to all these things in one singular area to get the best structured
singular area to get the best structured
singular area to get the best structured output out of it. In essence, it's about
output out of it. In essence, it's about
output out of it. In essence, it's about getting the right balance and feeding
getting the right balance and feeding
getting the right balance and feeding the AI the necessary, useful, and
the AI the necessary, useful, and
the AI the necessary, useful, and structured information at the right
structured information at the right
structured information at the right time, step by step. So, now that we have
time, step by step. So, now that we have
time, step by step. So, now that we have gotten all that out of the way, let's
gotten all that out of the way, let's
gotten all that out of the way, let's now take a look at context engineering,
now take a look at context engineering,
now take a look at context engineering, cuz it's way better than prompt
cuz it's way better than prompt
cuz it's way better than prompt engineering, like 10 times better and
engineering, like 10 times better and
engineering, like 10 times better and easily 100 times better than vibe
easily 100 times better than vibe
easily 100 times better than vibe coding. Now, what this is going to help
coding. Now, what this is going to help
coding. Now, what this is going to help us do is that it's going to help us work
us do is that it's going to help us work
us do is that it's going to help us work with any AI coding assistant, but this
with any AI coding assistant, but this
with any AI coding assistant, but this particular template works with Claude
particular template works with Claude
particular template works with Claude Code. It's a template built to easily
Code. It's a template built to easily
Code. It's a template built to easily connect with Claude's strengths, and
connect with Claude's strengths, and
connect with Claude's strengths, and it's going to be able to help it become
it's going to be able to help it become
it's going to be able to help it become more flexible, be more precise with its
more flexible, be more precise with its
more flexible, be more precise with its generation. It's going to use less
generation. It's going to use less
generation. It's going to use less tokens, and you're essentially just
tokens, and you're essentially just
tokens, and you're essentially just going to get better generation from it.
going to get better generation from it.
going to get better generation from it. Now, there's a couple of prerequisites
Now, there's a couple of prerequisites
Now, there's a couple of prerequisites that you'll need. Make sure you have Git
that you'll need. Make sure you have Git
that you'll need. Make sure you have Git installed to help us clone the
installed to help us clone the
installed to help us clone the repository. node.js for the
repository. node.js for the
repository. node.js for the functionality of cloud code. Make sure
functionality of cloud code. Make sure
functionality of cloud code. Make sure you have cloud code installed as well.
you have cloud code installed as well.
you have cloud code installed as well. It's super easy to install. Just run the
It's super easy to install. Just run the
It's super easy to install. Just run the code for within your operating systems
code for within your operating systems
code for within your operating systems uh command prompt and you can easily
uh command prompt and you can easily
uh command prompt and you can easily then get started with context 7. Now
then get started with context 7. Now
then get started with context 7. Now once all these prerequisites are
once all these prerequisites are
once all these prerequisites are fulfilled, head over to the GitHub
fulfilled, head over to the GitHub
fulfilled, head over to the GitHub repository of the template and then you
repository of the template and then you
repository of the template and then you want to first clone this repository. So
want to first clone this repository. So
want to first clone this repository. So copy this first link, open your command
copy this first link, open your command
copy this first link, open your command prompt and then paste it in to clone the
prompt and then paste it in to clone the
prompt and then paste it in to clone the repo. Once the repo has been cloned, you
repo. Once the repo has been cloned, you
repo. Once the repo has been cloned, you can then head into the context
can then head into the context
can then head into the context engineering uh intro to get a good
engineering uh intro to get a good
engineering uh intro to get a good familiar understanding of this template.
familiar understanding of this template.
familiar understanding of this template. Before we get started, allow me to
Before we get started, allow me to
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sponsoring today's video. But with that thought, let's get right back into
thought, let's get right back into
thought, let's get right back into today's video. After cloning the
today's video. After cloning the
today's video. After cloning the repository, I want you to go ahead and
repository, I want you to go ahead and
repository, I want you to go ahead and open it up within your IDE so that you
open it up within your IDE so that you
open it up within your IDE so that you can easily preview and configure these
can easily preview and configure these
can easily preview and configure these different files. Now, what I want you to
different files. Now, what I want you to
different files. Now, what I want you to do first is head over to the cloud MD.
do first is head over to the cloud MD.
do first is head over to the cloud MD. This is essentially the global rules for
This is essentially the global rules for
This is essentially the global rules for your cloud to actually follow through.
your cloud to actually follow through.
your cloud to actually follow through. It is something that will define the
It is something that will define the
It is something that will define the projectwide rules like how you would
projectwide rules like how you would
projectwide rules like how you would with client rules or with cursor rules.
with client rules or with cursor rules.
with client rules or with cursor rules. And essentially it's going to guide the
And essentially it's going to guide the
And essentially it's going to guide the AI assistant to follow in every
AI assistant to follow in every
AI assistant to follow in every conversation like the code structure
conversation like the code structure
conversation like the code structure that you can set. This is the base
that you can set. This is the base
that you can set. This is the base template that is already set. But you
template that is already set. But you
template that is already set. But you can configure things like the testing as
can configure things like the testing as
can configure things like the testing as well as the reliability, task
well as the reliability, task
well as the reliability, task completion, system and conversation. So
completion, system and conversation. So
completion, system and conversation. So you can easily configure this based off
you can easily configure this based off
you can easily configure this based off your own uh preference. Next, you want
your own uh preference. Next, you want
your own uh preference. Next, you want to then create your initial feature
to then create your initial feature
to then create your initial feature request and that is within the initial
request and that is within the initial
request and that is within the initial MD. Now there's already an example one
MD. Now there's already an example one
MD. Now there's already an example one which showcases what you should provide.
which showcases what you should provide.
which showcases what you should provide. But within this initial MD file, this is
But within this initial MD file, this is
But within this initial MD file, this is essentially where you describe the
essentially where you describe the
essentially where you describe the features you want to build. So within
features you want to build. So within
features you want to build. So within the features tab, you insert a clear
the features tab, you insert a clear
the features tab, you insert a clear description of what you want the AI to
description of what you want the AI to
description of what you want the AI to focus on. Within the example tab, you
focus on. Within the example tab, you
focus on. Within the example tab, you can provide as many files as you want
can provide as many files as you want
can provide as many files as you want and it'll reference it so that it could
and it'll reference it so that it could
and it'll reference it so that it could possibly build based off of your own
possibly build based off of your own
possibly build based off of your own context. And you can provide the
context. And you can provide the
context. And you can provide the examples within this folder over here.
examples within this folder over here.
examples within this folder over here. For the documentation, you can link it
For the documentation, you can link it
For the documentation, you can link it to relevant docs, APIs, or even MCP
to relevant docs, APIs, or even MCP
to relevant docs, APIs, or even MCP server resources. And for additional
server resources. And for additional
server resources. And for additional considerations, this is like edge cases
considerations, this is like edge cases
considerations, this is like edge cases or specific requirements that the AI
or specific requirements that the AI
or specific requirements that the AI could focus on. So, now that we have set
could focus on. So, now that we have set
could focus on. So, now that we have set our global rules as well as our feature
our global rules as well as our feature
our global rules as well as our feature requests, what we're going to do next is
requests, what we're going to do next is
requests, what we're going to do next is work on generating the PRP, which is the
work on generating the PRP, which is the
work on generating the PRP, which is the product requirement prompt, and it's
product requirement prompt, and it's
product requirement prompt, and it's something that you probably might have
something that you probably might have
something that you probably might have heard of within Klein or within Cursor.
heard of within Klein or within Cursor.
heard of within Klein or within Cursor. It's essentially a PRD that will help
It's essentially a PRD that will help
It's essentially a PRD that will help craft a more specific instruction to the
craft a more specific instruction to the
craft a more specific instruction to the AI coding assistant. And you just need
AI coding assistant. And you just need
AI coding assistant. And you just need to simply run the generate PRP initial
to simply run the generate PRP initial
to simply run the generate PRP initial MD command to execute it within cloud
MD command to execute it within cloud
MD command to execute it within cloud code to generate this PRP. And
code to generate this PRP. And
code to generate this PRP. And essentially within the context
essentially within the context
essentially within the context engineering intro template, there's
engineering intro template, there's
engineering intro template, there's already these commands set to help you
already these commands set to help you
already these commands set to help you generate the PRP. These are slash
generate the PRP. These are slash
generate the PRP. These are slash commands that are custom commands
commands that are custom commands
commands that are custom commands defined in this commands folder. And
defined in this commands folder. And
defined in this commands folder. And it's something that will help you create
it's something that will help you create
it's something that will help you create the PRPS as well as executing the PRPS
the PRPS as well as executing the PRPS
the PRPS as well as executing the PRPS and the arguments the variables that you
and the arguments the variables that you
and the arguments the variables that you will see after you execute it will
will see after you execute it will
will see after you execute it will reference the initial MD file after you
reference the initial MD file after you
reference the initial MD file after you have sent it in to generate the PRP. So
have sent it in to generate the PRP. So
have sent it in to generate the PRP. So this is where within my terminal I can
this is where within my terminal I can
this is where within my terminal I can open up claude cloud code and what I can
open up claude cloud code and what I can
open up claude cloud code and what I can do is set my mode as well as whatever
do is set my mode as well as whatever
do is set my mode as well as whatever login I want by setting the API key. And
login I want by setting the API key. And
login I want by setting the API key. And once I've done that, I can then generate
once I've done that, I can then generate
once I've done that, I can then generate the PRP. So now that cloud code has been
the PRP. So now that cloud code has been
the PRP. So now that cloud code has been authenticated, I can run this within
authenticated, I can run this within
authenticated, I can run this within cloud code to generate the PRP based off
cloud code to generate the PRP based off
cloud code to generate the PRP based off the initial MD requirements I have set.
the initial MD requirements I have set.
the initial MD requirements I have set. So I can just simply paste this in and
So I can just simply paste this in and
So I can just simply paste this in and run this command. And it's going to take
run this command. And it's going to take
run this command. And it's going to take a while because it is going to
a while because it is going to
a while because it is going to thoroughly draft this PRP for us based
thoroughly draft this PRP for us based
thoroughly draft this PRP for us based off of all the references that we have
off of all the references that we have
off of all the references that we have provided. And right now you can see that
provided. And right now you can see that
provided. And right now you can see that it is developing this PRP based off of
it is developing this PRP based off of
it is developing this PRP based off of the PRP template that Coleman had
the PRP template that Coleman had
the PRP template that Coleman had created. Basing the PRP based off of all
created. Basing the PRP based off of all
created. Basing the PRP based off of all these requirements that were set within
these requirements that were set within
these requirements that were set within the template. And you can see right now
the template. And you can see right now
the template. And you can see right now it is working on creating this new PRP
it is working on creating this new PRP
it is working on creating this new PRP based off the initial MD that we had
based off the initial MD that we had
based off the initial MD that we had created. Now guys, what's amazing with
created. Now guys, what's amazing with
created. Now guys, what's amazing with this whole process while it's generating
this whole process while it's generating
this whole process while it's generating the PRPs as well as working with the
the PRPs as well as working with the
the PRPs as well as working with the context engineering template is that how
context engineering template is that how
context engineering template is that how AI doesn't just generate the code, but
AI doesn't just generate the code, but
AI doesn't just generate the code, but it actually plans it thoroughly. You can
it actually plans it thoroughly. You can
it actually plans it thoroughly. You can see that this is a pretty detailed uh
see that this is a pretty detailed uh
see that this is a pretty detailed uh to-do list. It focuses on researching
to-do list. It focuses on researching
to-do list. It focuses on researching the APIs. It checks out the code base
the APIs. It checks out the code base
the APIs. It checks out the code base that we give it, the review examples
that we give it, the review examples
that we give it, the review examples that we had provided as well as reading
that we had provided as well as reading
that we had provided as well as reading the documentation that we had also set
the documentation that we had also set
the documentation that we had also set within the initial MD. And this right
within the initial MD. And this right
within the initial MD. And this right here is huge because one of the biggest
here is huge because one of the biggest
here is huge because one of the biggest issues with AI coding assistance is
issues with AI coding assistance is
issues with AI coding assistance is hallucinating like we mentioned at the
hallucinating like we mentioned at the
hallucinating like we mentioned at the start. It is also not able to properly
start. It is also not able to properly
start. It is also not able to properly get the right API calls or it misses
get the right API calls or it misses
get the right API calls or it misses critical details. But with context
critical details. But with context
critical details. But with context engineering, the AI takes care of the
engineering, the AI takes care of the
engineering, the AI takes care of the heavy lifting, doing the real research
heavy lifting, doing the real research
heavy lifting, doing the real research and building a readable and reliable
and building a readable and reliable
and building a readable and reliable plan before writing anything. It's not
plan before writing anything. It's not
plan before writing anything. It's not just creating a single file. It's
just creating a single file. It's
just creating a single file. It's actually creating it with confidence.
actually creating it with confidence.
actually creating it with confidence. And there we go. Our PRP is now fully
And there we go. Our PRP is now fully
And there we go. Our PRP is now fully developed. And we can now reference it
developed. And we can now reference it
developed. And we can now reference it within the PRP's folder. And you can
within the PRP's folder. And you can
within the PRP's folder. And you can access it as the multi- aent research
access it as the multi- aent research
access it as the multi- aent research email system. So, if I actually open
email system. So, if I actually open
email system. So, if I actually open this up as a preview, you're going to be
this up as a preview, you're going to be
this up as a preview, you're going to be able to look at our overall PRP that it
able to look at our overall PRP that it
able to look at our overall PRP that it was able to generate. It has our
was able to generate. It has our
was able to generate. It has our documentation and reference all the
documentation and reference all the
documentation and reference all the files that it needs, the links that we
files that it needs, the links that we
files that it needs, the links that we had provided within the example file. It
had provided within the example file. It
had provided within the example file. It also has the current codebase tree as
also has the current codebase tree as
also has the current codebase tree as well as the desired codebase tree with
well as the desired codebase tree with
well as the desired codebase tree with files to be added. So overall, this is
files to be added. So overall, this is
files to be added. So overall, this is going to reduce the hallucination
going to reduce the hallucination
going to reduce the hallucination immensely and it's going to save you so
immensely and it's going to save you so
immensely and it's going to save you so much on token output as well as making
much on token output as well as making
much on token output as well as making it super efficient to generate anything.
it super efficient to generate anything.
it super efficient to generate anything. This is why context engineering is
This is why context engineering is
This is why context engineering is really important as it's a way to
really important as it's a way to
really important as it's a way to streamline this whole process of
streamline this whole process of
streamline this whole process of generating code. Now guys, since we have
generating code. Now guys, since we have
generating code. Now guys, since we have generated our PRP, now all we got to do
generated our PRP, now all we got to do
generated our PRP, now all we got to do is execute the PRP. And this is where
is execute the PRP. And this is where
is execute the PRP. And this is where it's going to easily code out our
it's going to easily code out our
it's going to easily code out our application or whatever we're generating
application or whatever we're generating
application or whatever we're generating in this case an AI agent. And you just
in this case an AI agent. And you just
in this case an AI agent. And you just need to simply run the execute PRP
need to simply run the execute PRP
need to simply run the execute PRP command the folder of which the PRP
command the folder of which the PRP
command the folder of which the PRP generated in and the name of the MD file
generated in and the name of the MD file
generated in and the name of the MD file that it created. So simply paste this in
that it created. So simply paste this in
that it created. So simply paste this in and it's going to work thoroughly on now
and it's going to work thoroughly on now
and it's going to work thoroughly on now generating this application for us. This
generating this application for us. This
generating this application for us. This might take some time and it will take up
might take some time and it will take up
might take some time and it will take up a lot of tokens. So keep that in mind.
a lot of tokens. So keep that in mind.
a lot of tokens. So keep that in mind. But let's see what it's capable of
But let's see what it's capable of
But let's see what it's capable of generating for us. Looks like it first
generating for us. Looks like it first
generating for us. Looks like it first created the to-do list which is creating
created the to-do list which is creating
created the to-do list which is creating the project directory, the requirements,
the project directory, the requirements,
the project directory, the requirements, implementing the agent from paidantic
implementing the agent from paidantic
implementing the agent from paidantic and then running all the validation
and then running all the validation
and then running all the validation commands to fix issues. So you can see
commands to fix issues. So you can see
commands to fix issues. So you can see this in-depth process of creating this
this in-depth process of creating this
this in-depth process of creating this application for us. It should take some
application for us. It should take some
application for us. It should take some time, but I'll be back once it's
time, but I'll be back once it's
time, but I'll be back once it's finished. Before we get started, I just
finished. Before we get started, I just
finished. Before we get started, I just want to mention that you should
want to mention that you should
want to mention that you should definitely go ahead and subscribe to the
definitely go ahead and subscribe to the
definitely go ahead and subscribe to the world of AI newsletter. I'm constantly
world of AI newsletter. I'm constantly
world of AI newsletter. I'm constantly posting different newsletters on a
posting different newsletters on a
posting different newsletters on a weekly basis. So this is where you can
weekly basis. So this is where you can
weekly basis. So this is where you can easily get up-to-date knowledge about
easily get up-to-date knowledge about
easily get up-to-date knowledge about what is happening in the AI space. So
what is happening in the AI space. So
what is happening in the AI space. So definitely go ahead and subscribe as
definitely go ahead and subscribe as
definitely go ahead and subscribe as this is completely for free. Now right
this is completely for free. Now right
this is completely for free. Now right now it is knocking down each task one by
now it is knocking down each task one by
now it is knocking down each task one by one. And this is something that is
one. And this is something that is
one. And this is something that is absolutely amazing guys. It was able to
absolutely amazing guys. It was able to
absolutely amazing guys. It was able to thoroughly reference the to-do list the
thoroughly reference the to-do list the
thoroughly reference the to-do list the PRP that we had created and it is able
PRP that we had created and it is able
PRP that we had created and it is able to create high quality outputs based off
to create high quality outputs based off
to create high quality outputs based off of that PRP. Now, if you were to
of that PRP. Now, if you were to
of that PRP. Now, if you were to singleshot send in a prompt to a model
singleshot send in a prompt to a model
singleshot send in a prompt to a model to do this, you wouldn't be able to do
to do this, you wouldn't be able to do
to do this, you wouldn't be able to do it at the same sort of quality due to
it at the same sort of quality due to
it at the same sort of quality due to hallucination, not able to reference the
hallucination, not able to reference the
hallucination, not able to reference the correct context or the examples. Whereas
correct context or the examples. Whereas
correct context or the examples. Whereas in this case, like we saw at the start,
in this case, like we saw at the start,
in this case, like we saw at the start, it pulls all the contents in one single
it pulls all the contents in one single
it pulls all the contents in one single area and feeds it equally through the
area and feeds it equally through the
area and feeds it equally through the large language model to process. And
large language model to process. And
large language model to process. And that is why it is going to be able to
that is why it is going to be able to
that is why it is going to be able to output the best contents in comparison
output the best contents in comparison
output the best contents in comparison to something that you would just send in
to something that you would just send in
to something that you would just send in all on its own with a single file. And
all on its own with a single file. And
all on its own with a single file. And just like that, our PRP is now fully
just like that, our PRP is now fully
just like that, our PRP is now fully implemented. And you can see the
implemented. And you can see the
implemented. And you can see the step-by-step process as to how you can
step-by-step process as to how you can
step-by-step process as to how you can set it up has been listed as well. You
set it up has been listed as well. You
set it up has been listed as well. You need to first go into your environments
need to first go into your environments
need to first go into your environments and you want to copy it, configure the
and you want to copy it, configure the
and you want to copy it, configure the API keys, dependencies. You just want to
API keys, dependencies. You just want to
API keys, dependencies. You just want to install it and then run the Python
install it and then run the Python
install it and then run the Python main.py file and then you can test it
main.py file and then you can test it
main.py file and then you can test it out using the pi test and but overall
out using the pi test and but overall
out using the pi test and but overall you can see our AI agent has been fully
you can see our AI agent has been fully
you can see our AI agent has been fully created and constructed based off our
created and constructed based off our
created and constructed based off our PRP. But let's test it out. Also, it
PRP. But let's test it out. Also, it
PRP. But let's test it out. Also, it looks like it spent $3.32
looks like it spent $3.32
looks like it spent $3.32 for all of that to be fully configured.
for all of that to be fully configured.
for all of that to be fully configured. And guys, now that I have configured my
And guys, now that I have configured my
And guys, now that I have configured my API key, I have now opened up our agent.
API key, I have now opened up our agent.
API key, I have now opened up our agent. Now, this is essentially where I have
Now, this is essentially where I have
Now, this is essentially where I have now created this multi- aent research
now created this multi- aent research
now created this multi- aent research and email system with a single PRP. And
and email system with a single PRP. And
and email system with a single PRP. And you can see that I'm able to research
you can see that I'm able to research
you can see that I'm able to research with it where it can search with the
with it where it can search with the
with it where it can search with the Brave API. It can email using uh our
Brave API. It can email using uh our
Brave API. It can email using uh our Gmail. It's able to create the drafts
Gmail. It's able to create the drafts
Gmail. It's able to create the drafts and the multi- aent is able to
and the multi- aent is able to
and the multi- aent is able to seamlessly uh have delegation between
seamlessly uh have delegation between
seamlessly uh have delegation between different agents. So let's now try out
different agents. So let's now try out
different agents. So let's now try out our multi- aent that it had created. We
our multi- aent that it had created. We
our multi- aent that it had created. We can ask it create me a indepth research
can ask it create me a indepth research
can ask it create me a indepth research on the world of AI and we can process
on the world of AI and we can process
on the world of AI and we can process this request with the multi- aent that
this request with the multi- aent that
this request with the multi- aent that we had developed. You can see right now
we had developed. You can see right now
we had developed. You can see right now it is using the brave search tool the
it is using the brave search tool the
it is using the brave search tool the research agent itself and it's going to
research agent itself and it's going to
research agent itself and it's going to be able to compile all the results to
be able to compile all the results to
be able to compile all the results to develop this research for us and within
develop this research for us and within
develop this research for us and within a couple seconds it'll output it over
a couple seconds it'll output it over
a couple seconds it'll output it over here. And guys, this was all fully
here. And guys, this was all fully
here. And guys, this was all fully constructed with the help of AI without
constructed with the help of AI without
constructed with the help of AI without me even doing anything. It did a pretty
me even doing anything. It did a pretty
me even doing anything. It did a pretty quick job, a pretty cheap job as well.
quick job, a pretty cheap job as well.
quick job, a pretty cheap job as well. And it was able to follow through due to
And it was able to follow through due to
And it was able to follow through due to the context engineering uh process where
the context engineering uh process where
the context engineering uh process where it's able to reference everything
it's able to reference everything
it's able to reference everything thoroughly. And you can see right now it
thoroughly. And you can see right now it
thoroughly. And you can see right now it is linking all the sources of what it
is linking all the sources of what it
is linking all the sources of what it found and it has created this research
found and it has created this research
found and it has created this research on what the world of AI is. If you like
on what the world of AI is. If you like
on what the world of AI is. If you like this video and would love to support the
this video and would love to support the
this video and would love to support the channel, you can consider donating to my
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plus a lot more. Now, I really hope that
plus a lot more. Now, I really hope that you can understand a bit more of what
you can understand a bit more of what
you can understand a bit more of what context engineering entails and that it
context engineering entails and that it
context engineering entails and that it is something that will definitely help
is something that will definitely help
is something that will definitely help you elevate your coding experience. It's
you elevate your coding experience. It's
you elevate your coding experience. It's something that I highly recommend that
something that I highly recommend that
something that I highly recommend that you take a look at with all these
you take a look at with all these
you take a look at with all these different resources that I used in
different resources that I used in
different resources that I used in today's video in the description below.
today's video in the description below.
today's video in the description below. But that's basically it, guys. I hope
But that's basically it, guys. I hope
But that's basically it, guys. I hope you enjoyed today's video. Spent a lot
you enjoyed today's video. Spent a lot
you enjoyed today's video. Spent a lot of time today working on it. So, I would
of time today working on it. So, I would
of time today working on it. So, I would greatly appreciate it if you can
greatly appreciate it if you can
greatly appreciate it if you can comment, like, and subscribe. It would
comment, like, and subscribe. It would
comment, like, and subscribe. It would mean the whole world to me. But with
mean the whole world to me. But with
mean the whole world to me. But with that thought, guys, thank you guys so
that thought, guys, thank you guys so
that thought, guys, thank you guys so much for watching. Make sure you
much for watching. Make sure you
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subscribe to the second channel. Join
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that you will truly benefit from. But with that thought, guys, thank you guys
with that thought, guys, thank you guys
with that thought, guys, thank you guys so much for watching. Have an amazing
so much for watching. Have an amazing
so much for watching. Have an amazing day. Spread positivity, and I'll see you
day. Spread positivity, and I'll see you
day. Spread positivity, and I'll see you guys fairly shortly. Peace out, fellas.
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