the engineer who built Claude Code just dropped a 28-minute video on how to write prompts
Hello.
Everyone,
uh I'm Boris. I'm a member of technical
staff here at Anthropic, and I created
Quad Code.
And here to talk to you a little bit
about some practical tips and tricks for
using Quad Code.
Um it's going to be very practical. I'm
not going to go too much into the
history or the theory or anything like
this.
Uh and yeah, before we start, actually,
can we get a quick show of hands, who
has used Quad Code before?
Yeah. All right, that's what we like to
see.
For everyone that didn't raise your
hands, uh I know you're not supposed to
do this while people are talking, but if
you can open your laptop and type this.
And this will help you install Quad
Code, uh just so you can follow along
for the rest of the talk.
All you need is Node.js. If If you have
it, it should work.
Yeah, if you Well, you don't have to you
don't have to follow along, but if you
don't have it yet, yeah, this is your
chance to install it so you can follow
along.
So, what is Quad Code? Quad Code is a
new kind of AI assistant, and there's
been different generations of AI
assistants for coding. Most of them have
been about completing, you know, like a
line at a time, completing a few lines
of code at a time.
Quad Code is not for that. It's fully
agentic. So, it's meant for building
features, for writing entire functions,
entire files,
fixing entire bugs at at the same time.
And what's kind of cool about Quad Code
is it works with all of your tools, and
you don't have to change out your
workflow. You don't have to swap
everything to start using it. So,
whatever IDE you use, if you use VS Code
or if you use Xcode, or if you use uh
JetBrains IDEs,
there's some people at Anthropic that
you can't pry them from their cold, dead
hands, but they use Quad Code
because Quad Code works with every
single IDE, every terminal out there.
It'll work locally, over remote SSH,
over tmux, whatever environment you're
in,
you can run it.
It's general purpose, and this is
something where if you haven't used
these kind of free-form coding
assistance in the in the past, it can be
kind of hard to figure out how to get
started cuz you open it up and you just
see a prompt bar, and you might wonder
like what do I what do I do with this?
What do I type in?
It's a power tool, so you can use it for
a lot of things, but also because it can
do so much, we don't try to guide you
towards a particular workflow. Because
really, you should be able to use it
however you want as an engineer.
As you open up Quad Code for the first
time, there's a few things that we
recommend doing
to get your environment set up. And
these are pretty straightforward. So,
run terminal setup. This will give you
shift enter for new lines, so you don't
have to do like backslashes to enter new
lines. This is, you know, it it makes it
a little bit nicer to use.
Do /theme to set light mode or dark mode
or Daltonize themes.
Um you can do /install GitHub app. So,
today when we announced a GitHub app,
where you can at-mention
uh Claude on any GitHub issue or pull
request. So, to install it, just run
this command in in your terminal.
Um you can customize the set of allowed
tools that you can use, so you're not
prompted for it every time. This is
pretty convenient um for stuff that I'm
prompted about a bunch, I'll definitely
customize it in this way, so I don't
have to accept it every time.
And something that I actually do is for
a lot of my prompts, I won't hand type
them into a Quad Code. If you're on
macOS, you can go into your system
settings under accessibility is
dictation, and you can enable it. And
so, something I do is you just hit like
that dictation key twice, and you can
just speak your prompt.
And it helps a lot to have specific
prompts. So, this is actually pretty be
You can just talk to Quad Code and like
you would another engineer and you don't
have to type a lot of code.
So, when you're starting out with Claude
code, it's so free form and it can do
everything. What do you start with? The
thing I recommend above everything else
is starting with code base Q&A. So, just
asking your question asking questions to
your code base.
This is something that we teach new
hires at Anthropic. So, on the first day
in technical onboarding, you learn about
Claude code, you download it, you get it
set up and then you immediately start
asking questions about the code base.
And in the past when you're doing
technical onboarding, it's something
that taxes the team a lot.
Right? You have to ask other engineers
on the team questions.
You have to look around the code and
this takes a while. You have to figure
out how to use the tools. This This
takes a long time.
With Claude code, you can just ask
Claude code and it'll explore the code
base, it'll answer these kind of
questions. And so, at Anthropic,
onboarding used to take about two or
three weeks for technical hires, it's
now about two or three days.
What's also kind of cool about Q&A is we
uh we don't do any sort of indexing. So,
there's no remote database with your
code. We don't upload it anywhere. Your
code stays local. We do not train
generative models on the code.
So, it's there, you control it, there's
no indices or anything like this.
And what that means is also there's no
setup. So, you start Claude, you
download it, you start it, there's no
indexing, you don't have to wait, you
can just use it right away.
This is a technical talk. So, um I'm
going to show some very specific prompts
and very specific code samples that you
can use and hopefully improve and up
level your Claude code experience.
So, some kind of questions that you can
ask is uh you know, like how is this
particular piece of code used or how do
I instantiate this thing? And Claude
code, it won't just do like a text
search and try to answer this. It'll
often go a level deeper and it'll try to
find examples of how is this class
instantiated? How is it used?
And it'll give you a much deeper answer.
So, something that you would get out of
a wiki or documentation instead of just
like command F.
Something that I do a lot also is ask
about Git history.
So, for example, you know, why does this
function have 15 arguments and why are
the arguments named this weird way?
And this is something I bet in all of
our code bases, you have some function
like this or some class like this.
And Cloud Code can look through Git
history and it'll look to figure out how
did these arguments get introduced and
who introduced them and what was the
situation? What are the issues that
those commits link to? And it'll look
through all this and summarize it. And
you don't have to tell it that in all
these in all this detail.
You just ask it. So, just say look
through Git history and it'll know to do
this.
The reason it knows it, by the way, is
not because we prompted it to. There's
nothing in the system prompt about
looking through Git history. It knows it
because the model was awesome. And if
you tell it to use Git, it'll know how
to use Git.
So, we're lucky to be building on such a
good model.
I often ask about GitHub issues. So, you
know, it can use web fetch and it can
fetch issues and look up context on
issues, too, and this is pretty awesome.
And this is something that I do every
single Monday in our weekly stand-up is
I ask what did I ship this week and
Cloud Code looks at the log, it knows my
username and it'll just give me a nice
readout of everything I I shipped. And
I'll just copy and paste that into a doc
somewhere.
So, yeah, that's tip number one for
people that have not used Cloud Code
before. If you're just showing it to
someone for the first time, onboarding
your team, the thing we definitely
recommend is start with code base Q&A.
Don't start by using fancy tools, don't
start by editing code, just start by
asking questions about the code base and
that'll teach people how to prompt. And
it'll start teaching them this boundary
of like what can Cloud Code do? What is
it capable of versus what do you need to
hold its hand with a little bit more?
What can be one-shotted? What can be
two-shotted, three-shotted? What do you
need to use interactive mode for in a
repl?
Once you're pretty comfortable with Q&A,
you can dive into editing code.
This is the next thing.
And the cool thing about uh any sort of
agentic,
you know, like using a LLM in a agentic
way is you give it tools and it is just
like magical. It figures out how to use
the tools.
And with Quad Code, we give it a pretty
small set of tools. It's not a lot.
And so, it has a tool to edit files. It
has a tool to run bash commands. It has
a tool to search files. And it'll string
these together to explore the code,
brainstorm, and then finally make edits.
And you don't have to prompt it
specifically to use this tool and this
tool and this tool. You just say, you
know, do this thing and it'll figure out
how to do it. It'll string it together
in the right way that makes sense for
Quad Code.
There's a lot of ways to use this.
Something I like to do sometimes is
before having Quad jump in to write
code, I'll ask it to brainstorm a little
bit or make a plan.
This is something we highly recommend
and something I see sometimes is people,
you know, they take Quad Code and they
ask it, "Hey, implement this enormous
like 3,000 line feature." And sometimes
it gets this right on the first shot.
But sometimes what happens is the thing
that it builds is not at all the thing
that you wanted.
And the easiest way to get the result
you want
is ask it to think first. So, brainstorm
ideas, make a plan, run it by me, ask
for approval before you write code.
And you don't have to use plan mode. You
don't have to use any special tools to
do this. All you have to do is ask Quad.
And it'll know what to do this. So, just
say, "Before you write code, make a
plan." That's it.
This is also I want to think with this
one this commit push here. This is a
really common incantation that I use.
There's nothing special about it, but
Quad is kind of smart enough to
interpret this. So, it'll make a commit.
It'll push it to the branch, make a
branch, and then make a pull request for
me on GitHub. You don't have to explain
anything. It'll look through the code.
It'll look through the history. It'll
look through the git log by itself to
figure out the commit format and all the
stuff. And it'll make the commit and
push it the right way.
Again, we're not system prompting it to
do this. It just knows how to do this.
The model was good.
As you get a little bit more advanced,
you're going to want to start to plug in
your team's tools. And this is where
Quad Code starts to really shine.
And there's generally two kinds of
tools. So, one is bash tools. And an
example of this, I just made up this
like barley CLI. This isn't a real
thing.
Um but you can say use this CLI to do
something. And you can tell Quad Code
about this. And you can tell it to use,
for example, like {dash} {dash} help to
figure out how to use it. And this is
efficient.
If you find yourself using it a lot, you
can also dump this into your quad MD,
which we'll talk about in a bit. So,
Quad can remember this across sessions.
But this is a common pattern we follow
at Anthropic. And we see external
customers use, too.
And same thing with MCP. Um Quad Code
can use bash tools. They can use MCP
tools. So, you know, just tell it about
the tools. And you can add MCP tool, and
you can tell it how to use it, and it'll
it'll just start using it.
And this is extremely powerful cuz when
you start to use code on a new code
base, you can just give it all of your
tools, all the tools your team already
uses for this code base, and Quad Code
can use it on your behalf.
There's a few common workflows.
And this is the one that I talked about
already. So, kind of do a little bit of
exploration, do a little bit of
planning, and ask ask me for
confirmation before you start to write
code.
These other two on the right are
extremely powerful.
When Quad has some way to check its
work, so for example, by writing unit
tests or screenshotting in Puppeteer or
screenshotting the iOS simulator,
then it can iterate.
And this is incredible because if you
give it, for example, a mock and you say
build this web UI, it'll get it pretty
good. But if you let it iterate two or
three times, often it gets it almost
perfect.
So, the trick is give it some sort of
tool that it can use for feedback to
check its work. And then based on that,
it will iterate by itself, and you're
going to get a much better result.
So, for whatever your domain is, if it's
unit test or integration test or
screenshots for apps or web or anything,
just give it a way to see its result and
it'll iterate and get better.
So, these are the next steps. Teach Quad
how to use your tools and figure out the
right workflow. If you want Quad to jump
in a code, if you want it to brainstorm
a little bit, make a plan, if you want
it to iterate, kind of have some sense
of that so you know how to prompt Quad
to do what you want.
As you go deeper, beyond tools, you want
to start to give Quad more context. And
the more context, the smarter the
decisions will be because as an engineer
working in a code base, you have a ton
of context in your head about your
systems and all the history and and
everything else. So, you can there's
different ways to give this to Quad.
And as you give Quad more context, it'll
do better.
There's different ways to do this. The
simplest one is what we call Quad MD.
And quad.md is the special file name.
The simplest place to put it is in the
project root. So, the same directory you
start Quad in,
put a quad.md in there and that'll get
automatically read into context at the
start of every session. And essentially,
the first user turn will include the
quad.md.
You can also have a local quad.md and
this one you don't usually check into
source control. So, quad.md you should
check into source control, share with
your team so that you can write it once
and share it with your team.
This one you don't check in. It's just
for you.
The kinds of things you put in quad.md,
it's like common bash commands, common
MCP tools,
architectural decisions, important
files, anything that you would kind of
typically need to know in order to work
in this code base.
Try to keep it pretty short cuz if it
gets too long, it's just going to use up
a bunch of context and it's usually not
that useful. So, just try to keep it as
short as you can.
And for for example, in our code base,
we have uh
common bash commands, we have a style
guide, we have a few core files, kind of
things like that.
All the other quad MDs, you can put them
in other nested child directories, and
quad will pull them in on demand.
So, these are the quad MDs that will get
pulled in automatically. Um but then
also you can put in put quad MDs in
nested directories, and those will get
put those will get automatically pulled
when quad works in those directories.
Um and of course, if you're, you know, a
company, maybe you want a quad MD that's
shared across all the different code
bases, and you want to manage it on
behalf of your users, and you can put it
in your enterprise root, and that'll get
pulled in automatically.
There's a ton of ways to pull in
context. I actually had a lot of trouble
putting this slide together just to
communicate the breadth of ways you can
do this.
But, quad MD is pulled in automatically.
You can also use slash commands. So,
this is dot quad slash commands, and
this can be in your home directory, or
it can be checked into your project. And
this is for slash commands.
And over here,
we have a few examples of the slash
commands that we have in quad code
itself.
And so, for example, if you're in the
quad code repo, and you see issues
getting labeled, that's actually this
workflow running here. It's label GitHub
issues.
And we have a GitHub action running, the
same one we talked about this morning,
where quad code will run this command,
and it's just a slash command. It'll
run, and it'll label the issues, so
humans don't have to. It just saves us a
bunch of time.
And of course, you can add mention files
to pull them into context. Um and like I
said before, quad MDs in a nested
directory get pulled in when quad works
in that directory.
So, give quad more context, and it's
definitely worth taking the time to tune
context. You can run it through a prompt
improver, consider
who the context is for, if you want to
pull it in every time, if you want to
pull it in on demand, if you want to
share it with a team, if it's a personal
preference.
Definitely take the time to tune it.
This will improve performance
dramatically
uh if you do it right.
As you get more advanced,
you're going to want to think about this
a little bit more of this kind of
hierarchy of different ways to pull in
everything. So like not just Quad MD,
but also config and
uh
kind of everything about Quad you can
pull in in this hierarchical way.
So projects uh are specific to your Git
repo, and this you can check in or you
can make it just for you.
You can also have global configs that
are for across all your projects, or you
can have enterprise policies. And this
is essentially a global config that you
roll out for all of your employees,
everyone on your team automatically.
And this slide is like pretty
information dense, but the point is this
applies to a lot of stuff. So you can do
this for slash commands, you can do it
for permissions. So for example, if you
have a bash command that you would run
for all your employees, uh like all your
employees use this like test command for
example,
you can actually just check it into this
enterprise policies file,
and then any employee when they run this
command, it will be auto-approved, which
is pretty convenient.
And you can also use this to block
commands. So for example, let's say
there's a URL that should never be
fetched, um just add it to this config,
and that'll make it so an employee
cannot override it. And that that URL
can never be fetched.
So pretty convenient both to unblock
people and also just to keep your code
base safe.
And then same thing for MCP servers.
Have a MCP JSON file, check it into the
code base, that way anytime someone runs
Quad code in your code base, they'll be
prompted to install the MCP servers. And
share it with the team.
If you're not sure which of these to
use, this is like a kind of an insane
matrix cuz we support a lot of stuff,
and engineer workflows are very
flexible, and every company is
different, so we kind of want to support
everything. So if you're not sure how to
get started, I would recommend start
with shared project context.
You write this once, and then you share
it with everyone on the team, and you
get this kind of network effect where,
you know, someone does a little bit of
work, and everyone on the team benefits.
There's a lot of tools built into Quad
to manage this. Uh so, as an example, if
you run {slash} memory, you can see all
the different memory files that are
getting pulled in. So, maybe I have an
enterprise policy, I have my user
memory, I have project Quad MD, and then
maybe there's a nested Quad MD. That's
only pulled in for certain directories.
And then, similarly, when you do {slash}
memory, you can edit particular memory
files. When you type pound sign to
remember something, you can pick which
memory you want it to go to.
So, yeah, that's the next tip. Take the
time to configure
Quad MD, MCP servers, all the stuff that
your team uses, so that you can use it
once, configure it once, and then share
it with everyone.
Um an example of this is uh in our apps
repo uh for Anthropic, this is like the
repo that we have all of our web and
apps code in. There's a Puppeteer MCP
server, and we share this with the team.
Um and there's an MCP JSON checked in,
so any engineer working in that repo can
use Puppeteer in order to pilot
end-to-end tests and to screenshot
automatically and iterate, so that every
engineer doesn't have to install it
themselves.
This is a talk about pro tips, so I I
just want to take a quick interlude to
talk about some common key bindings that
people may not know. It's a It's very
hard to build for a terminal. It's also
very fun. It feels like rediscovering
this new design language. But, something
about terminals is is It's extremely
minimal. And so, sometimes it's hard to
discover these key bindings. And here's
just a quick reference sheet. So,
anytime, you can hit shift tab to accept
edits.
Uh and this switches you into auto
accept edits mode. So, bash commands
still need approval, but edits are auto
accepted. And you can always ask Quad to
undo them later.
Um for example, I'll do this if I know
Quad's on the right track, or if it's
writing unit tests and iterating on
tests, I'll usually just switch into
auto accept mode, so I don't have to
okay every single edit.
Anytime you want Claude to remember
something, so for example, if it's not
using a tool correctly and you want it
to use it correctly from then on, just
type the pound sign and then tell it
what to remember and it'll remember it.
It'll incorporate it into Claude MD
automatically.
If you ever want to drop down to bash
mode, so just run a bash command, you
can hit the exclamation mark and type in
your command. That'll run locally, but
that also goes into the context window.
So, Claude will see it on the next turn.
Um and this is pretty good for
long-running commands if you know
exactly what you want to do or any
command that you want to get into
context. And Claude will see the command
and the output.
You can @ mention files and folders. Uh
anytime you can hit escape to stop what
Claude is doing. Um no matter what
Claude is doing, you can always save if
we hit escape. It's not going to corrupt
the session. It's not going to mess
anything up. So, maybe Claude is doing a
file edit. I'll hit escape. I'll tell it
what to do differently. Or maybe it
suggested a 20-line edit and I'm like,
"Actually, 19 of these lines look
perfect, but one line you should
change." I'll hit escape. I'll tell it
that and then I'll tell it to redo that
edit.
Uh you can hit escape twice to jump back
in history.
Um and then after you're done with the
session, you can start Claude with the
resume to resume that session if you
want. Um or dash dash continue.
And then anytime if you want to see more
output, hit control R and that'll show
you the entire output, the same thing
that Claude sees in its context window.
The next thing I want to talk about is
the Claude Code SDK. So, we talked about
this at the top. Uh right after this,
Sid is doing a session, I think just
across the hallway and he's going to go
super deep on the SDK. If you hadn't
played around with this, if you use the
dash P flag in Claude, this is what the
SDK is.
And we've been adding a bunch of
features over the last few weeks to make
it even even better.
Um so yeah, you can you can build on top
of this. You can do cool stuff. This is
exactly the thing that Claude Code uses.
It's exactly the same SDK.
And so for example, something you can do
is quad-p. So this is the the CLI SDK.
You can pass up you can pass a prompt.
You can pass some allowed tools which
could include specific bash commands.
And you can tell it which format you
want. So you might want JSON or you
might want streaming JSON if you want to
process this somehow.
So this is awesome for for building on.
We use this in CI all the time. We use
this for incident response. We use this
in all sorts of pipelines. So really
convenient. Just think of it as like a
Unix utility. You give it a prompt, it
gives you JSON. You can use this in any
way. You can pipe into it, you can pipe
out of it.
The piping is also pretty cool. So you
can use like for example get status and
pipe this in and you know use JQ to
select the result. It
The combinations are endless and it's
sort of this new idea. It's like a super
intelligent Unix utility. And I think
we've barely scratched the surface of
how to use this. We're just figuring
this out.
You can read from like a GCP bucket,
read you know like a giant log and pipe
it in and tell quad to figure out what's
interesting about this log.
Um you can fetch data from like the
century uh CLI. You can also pipe it in
and have quad do something with it.
The final thing and this is probably
like the most advanced use cases we see.
I'm sort of a quad normie. So I'll have
usually like one quad running at a time
and maybe I'll have like a few terminal
tabs for a few different repos running
at a time. When I look at power users in
and out of Anthropic,
almost always they're going to have like
SSH sessions. They'll have uh like tmux
tunnels into their quad sessions.
They're going to have a bunch of
checkouts of the same repo so that they
can run a bunch of quads in parallel in
that repo. Or they're using Git
worktrees to have some kind of isolation
as they do this.
And we're actively working on making
this easier to use, but uh
for now like these these are some ideas
for for to do more work in parallel with
Cloud. You can run as many sessions as
you want.
Uh and there's a lot that you can get
done in parallel.
So, yeah, that's it. I wanted to also
leave some time for Q&A.
So, I think this is the last slide that
I have. And yeah, if folks have
questions, there's mics on both sides.
And yeah, would love to answer any
questions.
>> [applause]
>> Skip the file command.
>> [laughter]
>> I did. Slide five.
>> [laughter]
>> Hey Boris. Um thanks for building a
Cloud Code. And I was wondering what was
the hardest implementation like part of
the implementation for you
of building it?
I think there's a lot of tricky parts.
Um I think one part that is especially
tricky is the things that we do to make
bash commands safe.
Um bash is inherently pretty dangerous
and it can change system state in
unexpected ways. But at the same time,
if
you have to manually approve every
single bash command, it's super annoying
as an engineer and you can't really be
productive cuz you're just constantly
approving every command.
And just kind of navigating how to do
this safely in a way that that scales
across the different kinds of code bases
people have cuz not everyone runs their
code in a Docker container.
Um was was pretty tricky. And
essentially the thing we landed on is
there's some commands that are
read-only. There's some static analysis
that we do in order to figure out which
commands can be combined in safe ways.
And then we have this pretty complex
tiered permission system so that you can
allow list and block list commands at
different levels.
Hi Boris.
You mentioned uh giving an image to
Cloud Code which made me wonder if
there's some sort of multimodal
functionality that I'm not aware of. Is
that Are you just pointing it at an
image on the file system or something?
Yeah, so Claude code is fully
multimodal. Um it has been from the
start. It's in a terminal, so it's a
little uh hard to discover.
Uh but yeah, you can take a image and
just drag and drop it in. That'll work.
Uh you can give it a file path. That'll
work. Um you can copy and paste the
image in and that works, too.
Um so I'll use this pretty often for if
I have like a mock of something, I'll
just drag and drop drop in the mock.
I'll tell it to implement it. I'll give
it a puppeteer server so it can iterate
against it. And yeah, it's just fully
automated.
Um hey, uh
why did you build a CLI tool instead of
an IDE?
Yeah, it's a it's a good question. I
think there's probably two reasons. One
is uh
we started this at Anthropic and at
Anthropic people use a broad range of
IDEs. And some people use VS Code, other
people use Zed or Xcode or Vim or Emacs.
And it was just hard to build something
that works for everyone. And so terminal
was just the common denominator.
The second thing is at Anthropic, we're
uh
we see up close how fast the model is
getting better.
And so I think there's a good chance
that by the end of the year people
aren't using IDEs anymore.
And so we want to get ready for this
future and we want to avoid
over-investing in UI and other layers on
top given that
the way the models are progressing, it
just it might not be useful work pretty
soon.
Yeah.
How much have you I don't know if this
is Is this on?
How much have you Claude code for
machine learning modeling and almost
that auto ML experience? I was curious
what the experience has been so far with
that. Yeah, I think I think the question
was how much are we using Claude code
for machine learning and and modeling.
We actually use it for this a bunch, so
both engineers and researchers at
Anthropic use Claude code every day. Um
I think about 80% of people at Anthropic
that are technical use Claude code every
day.
And hopefully you can see that in the
product and kind of the amount of love
and dogfooding we've put into it.
Um but this includes researchers who use
tools like the notebook notebook tool to
edit and run notebooks.
Okay, very cool. Thank you.
All right, I think that's it. Thanks.
[applause]
>> [music]
[music]
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