►
From YouTube: Architecting Alice: Volume 0: System Context: Part 63:
A
Do
I
want
to
start
the
stream?
Yes
obs?
I
do
thank
you,
okay
and
I
do
youtube
as
well.
Thank
you
very
much
for
starting
the
stream.
Okay
stream
stream
stream
stream
stream.
A
Everything
is
streams
and
isn't
it
wonderful,
so
yeah
I'm
excited
to
encode
stuff
over
webrtc,
I'm
really
excited
to
encode
stuff
over
in
das
video
over
webrtc.
I
think
it's
gonna
be
a
fast
communication
channel.
A
A
So
if
you
were
with
us
for
the
last
video
I
apologize
because
it
was
just
cleaning
up
to
get
repo
committing
all
the
stuff.
So
if
you
wanted
to
learn
about
git,
it
might
have
been
helpful.
I
don't
know
so.
A
So
part
of
the
the
goal
of
having
these
long
videos
is
that,
through
the
verbose
explanation
of
where
we're
at
in
our
train
of
thought,
alice
will
be
able
to
map
development
activities
as
they
appear
in
our
terminal.
Without
the
explanation
to
where
we're
at
in
our
train
of
thought
and
what
things
we
might
be
thinking
about
and
how
she
could
steer
us
towards
more
productive
trains
of
thought
in
terms
of
like
not
hitting
silly
bugs.
You
know
or
thinks
that
she
can
figure
out
the
answer
too
much
faster
than
we
can.
A
A
So
it's
in
here
that
we're
getting
lost
if
we
were
in
the
debugger
right.
A
A
And
we
came
in
here
twice
so
647
we
hit
647
and
we
hit
647
again
and
then
we
hit
247.
A
A
A
This
see
this
change
right
here.
What
happened?
Okay,
something
weird
happened,
but
okay,
weird
diff,
okay,
yeah,
see
it'll,
be
nice
to
have
language
word
diffs,
so
this
yeah
okay.
So
this,
basically,
we
replace
this
object
with
this
base.
Data
flow
facilitator
object
so
that
we
could
do
the.
A
A
A
A
A
A
A
A
Configurable
runtime
configurable
python
code
sort
of
this
is
basically
just
arbitrary
flows
that
you
can
install
right
and
have
overlaid
at
any
time
right
and
then
access
to,
and
so
they
can
modify
existing
programs
so
that
you
can,
like
you
know,
have
organizational
policies
around
their
execution
or
their
analysis
or
whatever.
A
Entry
points
registered
or
within
the
global
name,
space
as
python
objects,
as
python
deployments
objects
via
python,
dot,
native
good
deployment,
python.native
sure.
A
A
A
A
All
right,
sm
contacts
installed
initial
boilerplate.
A
Not
installable
due
to
sem
version
usage
yeah,
so
we
we
have.
Ironically,
we
have
migrated.
The
we
have
successfully
migrated
the
setup
scripts
so
that
new
packages
are
created.
Well,
this
is
actually
very
good.
I
mean
this
is
ideal
right,
so
the
new
packages
are
created
using
this
new
version.
Now,
because
we
don't,
we
want
to
encourage
not
putting
them
in
the
mono
repo
right
now.
Okay,.
A
Okay,
and
so
so,
this
is
how
we
disable
it
default
context
version.
A
We
grab
the
version
from
the
so
there's
great
setup
tools,
documentation
for
this
setup
tools.
A
A
A
A
All
right
fantastic,
so
this
is
the
this
is
what's
needed.
A
A
This
is
what's
currently
needed
to
have
a
a
new
plug-in
within
the
mono
repo.
I
use
a
version
from
a
python
file
instead
of.
A
A
A
A
Right
and
so
now
we
can,
you
know,
return
or
generate
namespace.
Maybe.