The
debate
around
whether
artificial
intelligence
will
replace
human
programmers
has
been
heating
up
lately
While
some
fear
AI
could
make
coding
jobs
obsolete
the
prevailing
view
seems
to
be
that
AI
will
become
more
of
a
programmer’s
sidekick
boosting
productivity
rather
than
taking
over
completely
Given
AI’s
current
limitations
this
seems
reasonable
enough
for
now
After
all
today’s
AI
still
makes
plenty
of
coding
errors
and
struggles
to
grasp
the
big
picture
of
complex
software
projects
But
we
shouldn’t
get
too
comfortable
As
the
saying
goes
AI
today
is
as
worst
as
it’ll
ever
be
And
even
at
its
worst
the
progress
of
generative
AI
over
just
the
past
year
has
been
mind
blowing
It’s
hard
to
even
imagine
where
the
technology
could
be
in
another
year
or
two
especially
considering
the
massive
amounts
of
brainpower
and
money
being
poured
into
AI
development
worldwide
As
the
saying
goes
AI
today
is
as
worst
as
it’ll
ever
be
And
even
at
its
worst
the
progress
of
generative
AI
over
just
the
past
year
has
been
mind
blowing
Historically
groundbreaking
technologies
tend
to
be
adopted
first
as
assistants
or
companions
before
potentially
taking
on
bigger
roles
We’re
seeing
this
play
out
now
with
tools
like
GitHub
Copilot
which
aims
to
be
a
helpful
coding
buddy
rather
than
a
replacement
for
human
devs
ELEKS
did
a
great
breakdown
of
Copilot’s
current
capabilities
and
limitations
that
you
can
find
nbsp
here
But
as
the
tech
improves
it
will
likely
be
trusted
to
handle
more
and
more
programming
tasks
independently
We’re
already
seeing
early
stage
projects
that
aim
to
automate
basic
coding
work
like
GPT
Pilot
and
Devin
While
still
in
their
infancy
these
projects
hint
at
AI’s
potential
to
take
on
larger
chunks
of
the
development
process
You
can
find
my
in
depth
review
of
GPT
Pilot
here
Looking
ahead
it
seems
increasingly
likely
that
AI
will
eventually
take
over
a
significant
portion
of
routine
coding
tasks
This
includes
both
repetitive
large
scale
programming
work
like
implementing
standard
features
across
multiple
projects
and
many
of
the
foundational
tasks
typically
assigned
to
junior
developers
such
as
writing
basic
functions
or
debugging
simple
code
This
shift
could
dramatically
reshape
the
software
development
landscape
In
this
future
we
might
see
two
main
categories
of
human
developers
emerge
Specialized
developers
These
highly
skilled
programmers
will
tackle
the
most
complex
novel
and
creative
aspects
of
software
development
They’ll
focus
on
high
level
architecture
cutting
edge
innovations
and
problems
that
require
deep
human
insight
For
example
they
might
design
new
AI
algorithms
create
innovative
user
interfaces
or
develop
complex
systems
that
integrate
multiple
emerging
technologies
AI
managers
These
developers
will
specialize
in
working
with
and
directing
AI
coding
systems
They’ll
be
experts
at
prompting
guiding
and
overseeing
AI
agents
that
handle
the
bulk
of
day
to
day
coding
tasks
This
could
involve
crafting
precise
instructions
for
AI
to
generate
entire
modules
reviewing
and
refining
AI
generated
code
or
orchestrating
multiple
AI
agents
to
collaborate
on
larger
projects
The
most
successful
developers
will
likely
be
those
who
can
adapt
to
this
new
paradigm
combining
their
own
coding
expertise
with
the
ability
to
effectively
leverage
AI
tools
While
there
will
still
be
a
place
for
human
programmers
the
nature
of
the
job
could
change
significantly
For
now
embracing
AI
as
a
productivity
boosting
companion
seems
like
the
smart
move
for
most
programmers
But
it
would
be
unwise
to
assume
the
status
quo
will
remain
forever
The
pace
of
progress
in
AI
is
staggering
and
the
programming
world
would