The Future Of Software Engineering - NO MORE CODING
Summary
TLDR本视频探讨了软件工程的未来,指出随着GBT模型等AI技术的进步,传统的软件工程师角色将发生巨大变化。AI工具如Co-pilot提高了编码效率,而GBT应用构建器的出现预示着编程可能变得更加普及。未来,软件工程师可能更多地从事咨询、系统设计和维护AI工具等工作。视频强调了适应新技术、提升设计和领域知识的重要性,以保持在行业中的竞争力。
Takeaways
- 🚀 软件工程的未来将会发生巨大变化,目前所谓的软件工程师角色将很快变得不同。
- 🛠️ GBT 模型的最新改进以及宣布的 GBT 应用构建器预示着软件工程领域的剧变。
- 🔧 目前有许多工具正在提高软件工程生产力,例如代码自动完成工具 Copilot。
- 🔍 新工具专注于测试方面,帮助发现潜在漏洞并提供解决方案。
- 💡 随着 GBT 技术的发展,许多现有的软件工程技能可能会变得不再那么重要。
- 📈 未来软件工程可能会转向更多咨询型或系统设计和架构的高级角色。
- 🔑 软件工程师的工作重点将转向编写提示、描述和项目需求,而不是编写代码。
- 🤖 对于不想编写代码的人,可以完全依赖 GBT 技术或其他 AI 驱动的工具来构建应用。
- 🌟 AI 构建工具虽然还不是完美的,但已经是一个改变游戏规则的工具。
- 🏢 随着 AI 技术的发展,大型科技公司可能会考虑使用这些技术来减少软件工程师的开支。
- 📚 对于未来的软件工程师来说,专注于设计和深入了解领域知识将是关键,以避免被 AI 取代。
Q & A
未来软件工程将会如何改变?
-未来软件工程将会因为GBT模型等AI技术的进步而发生巨大变化。这些技术将使得编程更加自动化,从而提高编程效率和水平。
GBT应用构建器是什么?
-GBT应用构建器是一种基于GBT模型的工具,它允许用户通过自然语言描述来创建应用程序,而无需编写代码。
编程辅助工具如Co-pilot的作用是什么?
-Co-pilot等编程辅助工具可以帮助程序员自动完成代码编写,提供建议和修复漏洞,从而提高编程的熟练度和生产力。
AI技术如何影响软件工程师的角色?
-AI技术可能会使软件工程师的角色转向更多咨询和系统设计方面的工作,而不仅仅是编写代码。
未来软件工程师需要哪些技能?
-未来的软件工程师需要具备深厚的设计能力、对工具的了解以及特定领域的知识,以便能够有效地使用和判断AI工具的输出。
GBT技术可能对软件工程行业产生哪些影响?
-GBT技术可能会降低成为软件工程师的门槛,提高创新速度,并创造新的工作机会。同时,它也可能导致传统的编码工作变得不那么重要。
企业如何利用GBT技术降低成本?
-企业可以通过使用GBT等AI工具来减少对软件工程师的依赖,从而降低开发成本。
目前GBT应用构建器的局限性是什么?
-尽管GBT应用构建器是一个游戏改变者,但它目前还不完美,可能无法处理复杂任务,且生成的代码可能需要进一步优化和审查。
软件工程师如何应对AI技术的挑战?
-软件工程师应该专注于提升设计能力、深入理解特定领域知识,并掌握最新的AI工具,以保持自己的竞争力。
AI技术在软件开发中的作用是什么?
-AI技术可以自动化许多开发任务,如代码编写、测试、调试和文档生成,从而加快开发速度并提高产品质量。
软件工程师在AI时代的角色将如何转变?
-软件工程师的角色可能会从直接编写代码转变为更多地监督和管理AI工具,确保它们按照预期工作,并保持代码的高质量标准。
Outlines
🚀 软件工程的未来与变革
本段落主要讨论了软件工程的未来趋势,强调了GBT模型等技术的进步将如何改变软件工程师的角色。提到了诸如Co-pilot这样的工具正在提高编码效率和质量,并且新的工具专注于测试和调试,帮助工程师发现漏洞和生成文档。同时,指出了GBT技术可能会使许多传统软件工程技能变得不那么重要,未来的软件工程师可能更多地从事咨询、系统设计和架构等高级角色。
🌟 技术进步对软件工程师的影响
这一段深入探讨了技术进步,特别是GBT应用构建器等工具的出现,将如何影响软件工程师的工作。强调了这些工具的发展可能会导致软件工程的门槛降低,使得更多人能够参与到软件开发中来。同时,讨论了这些变化可能会创造新的职业机会,但也可能导致某些软件工程角色的重要性下降。最后,提出了对于当前软件工程师的建议,即不仅要会写代码,还要掌握设计和领域知识,以保持竞争力。
Mindmap
Keywords
💡软件工程
💡GBT模型
💡代码自动完成
💡测试工具
💡调试工具
💡文档生成
💡无代码
💡提示驱动开发
💡系统设计
💡领域知识
💡AI工具开发
Highlights
未来软件工程的发展将会与今天大不相同
GBT模型的最新改进和GBT应用构建器的宣布将带来软件工程领域的剧变
目前有许多工具正在提高软件工程的生产力,例如代码自动完成工具Co-pilot
新的工具专注于测试方面,帮助发现漏洞并提供解决方案
软件工程的工具正在帮助工程师进行调试和生成文档
GBT技术可能会使许多现有的软件工程技术变得不再相关
软件工程领域的准入门槛看似降低,但实际上要成为一名优秀的开发者仍然不易
随着GBT等AI工具的强大,软件开发的编码方面将变得更加易于接触
未来软件工程师的工作重点可能会转向编写提示、描述和项目需求
GBT技术可能使软件工程师的角色转变为更多咨询和系统设计方面的工作
新的软件工程角色将专注于设计和维护AI工具
开发者需要编写工具来实现完全替代编码的目标
尽管GBT应用构建器还不是完美的,但它已经是一个游戏规则改变者
大公司可能会考虑通过利用这些技术来减少软件工程师的开支
目前我们正处于软件开发的早期阶段,但正在从初步探索转向实际应用
GBT技术可能在不久的将来帮助我们无需编码背景就能构建工具
软件工程师的最大资产不应该是编码能力,而应该是设计和知识
为了不被AI取代,人们应该专注于构建深度和真正了解自己擅长的领域
Transcripts
hey guys welcome back Luca here today I
want to talk about the future of
software engineering and how what we
know today as a software engineer will
soon be very different there has been a
lot of recent improvements on what the
gbt model can do and they also announced
a gbt app builder so very soon we'll see
a dramatic change in what we know as
self engineering one lately we've been
seeing a lot of tools that improves
software engineering productivity tools
such as co-pilot where while we are
writing code they help us autocomplete
or tell us hey this is something that
you should consider writing these type
of tools are being developed right now
and it's helping to increase coding
proficiency and productivity levels
there are new tools that focus on the
testing aspect trying to see like oh
here are some vulnerabilities and this
is something that we can do like as a
software engineer on tools that help
engineer debug and trying to apply fixes
or generate documentations but with this
gbt Technologies like a lot of these
might become more irrelevant and now we
are heading towards more of a second
phase of where soft engineering is
heading towards like to many people are
surprised sure like software engineering
was considered something that oh we can
easily pivot into there were many ways
for people to Pivot into s engineer such
as joining a boot camp study computer
science on their own doing personal
projects so it seems like oh yeah the
entrance of barrier isn't as high but we
all know like you know it is still
pretty high to become a good enough
developer and that was something that
was making this feel very lucrative but
with this recent development that's way
more powerful than the no code
alternative that we currently have today
is going to make self engineering coding
aspects way more accessible for a lot
more people I think based on the demo
like we can pretty confidently say like
Yeah The Future Is Almost Here we are
about to head in towards a prompt driven
development this is how I would describe
it where we won't be spending as much
time writing code where we will be
spending a lot of times writing prompts
writing descriptions writing project
requirements telling the tool to come up
with something and as a softare engineer
your main focus on the job will just be
trying to see like oh does the code
right in a good style or does it make
sense but if you're someone who don't
even want to worry about coding then you
can trust fully on these gbt
Technologies or whatever AI power tool
to help you build whatever app you
desire simply use natural language and
describe what the feature is about you
will be followed through a prompt that
guides you how how to build your app and
this is something that's really powerful
and it's going to really ship the
dynamic of software engineering so this
will definitely speed up the pace of
innovation creates new opportunities but
it might also make software engineering
not as relevant so if you are someone
who's now in Tech and you are building a
new app now you get to decide if you
trust the gbt technology fully or you
want to hire a software engineering
figure or someone who knows software
engineering and trying to hold the
quality bar of the product you might
still have access to the code you don't
know coding but you don't know how well
it's written there might be
vulnerability or not do you trust the AI
generator tool fully completely or you
want to hire someone who might be a
consultant
figure so I feel like self engineering
will definitely become more of a
Consulting type of role or some sort of
system design architectural like senior
level type of roles so as a self
engineer in the future your job might
look very different from what you
currently do you might have more
requirement on designing and being very
specific about the type of system you
want to know so this actually require
you to know a lot about the domain the
type of tools available out there
because you need to be able to judge
like oh does this two make sense does
this make sense like do I go with
database type A or do I go with database
type B like or do I blindly just
completely trust what the GPT think is
the best at the moment but we don't know
if the gbt tool will be as powerful just
yet so you still have to be the type of
decision makers and provide as much
relevant information as possible cuz
maybe lacking a bullet point a might
lead to a complete different result and
that result may not be what you want so
it's very tricky in the aspect so I do
think because of this like new roles
will be created that's focusing on
design and focusing on developing and
maintaining these type of AI tools and
to start off you also need to have
people who are building these products
in the first place so before you can
fully replace coding you have to have
developers who can help you write these
tools to make it happen and I do think
we are getting closer and closer like
right now the open a I a builder tool
isn't perfect but it's definitely a game
changer and I know for a fact a lot big
more bigger companies will be eyeing
this and trying to focus on it given
that software engineer are one of the
biggest expense for a lot of bigger tech
companies they might look into reducing
this expense by leveraging some of these
Technologies and they definitely putting
in a lot of money into developing these
type of tools so right now we are still
at the early stage but we are definitely
pivoting from oh this is the buds like
we finally got J AI this is what it can
do too okay this is looking a little
scary this is getting to a point where
we could actually rely on them to help
us build start a build tools without
even having to know any coding
backgrounds it's not perfect the code it
writes may not be perfect but the fact
that it can go from zero to 100 in
matters of minutes hours like based on
how you describe your task it's
tremendous like it's going to take
software engineer month to maybe even
build a product to have the speed of a
turnaround but now you can rely on gbt
to go from zero to 100 really fast of
course scaling it right now is going to
be tricky for sure for this gp2 to
handle which is why you might still need
expert you might need the software
engineer in that aspect but besides that
yeah it looks like it's going into a
really solid position so why I saw the
news I was first impressed and then I
definitely also felt like wow it feels
like it can do my job almost as well as
I can that's why I say if you are a self
engineer your biggest asset shouldn't be
the fact that you can write code that
should be a default you should try to
build something on top of that that
separates you is it the the type of
design is it the type of pattern use is
the knowledge because you may never
write as fast as the AI so purely going
for Speed shouldn't be the focus so for
people who are thinking about starting
that would be my recommendation like you
should try to build a lot of depths and
trying to really know the stuff that you
do well and this will prevent you from
being replaced by AI at least in the
first phase if we do get to that point
in the near future so yeah guys thank
you so much for watching and I hope you
guys enjoyed this video make sure to
like comment and subscribe I will see
you guys next
time
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