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Windsurf Founder: AI Will 10x Every Part of Coding - Faster Than You Think "It's gonna get crazy." "Every part of the software development life cycle, whether it be writing code, reviewing code, testing code, debugging code, designing code, AI is gonna be adding 10X the amount of leverage... show more

Overlap: Business & Tech

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47,969 次观看 • 1 年前 •via X (Twitter)

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10 条评论

Overlap: Business & Tech 的头像

Overlap: Business & Tech1 年前

Full conversation with @_mohansolo, @garrytan, @harjtaggar, @sdianahu, and @snowmaker here:

Aishah ✨ 的头像

Aishah ✨1 年前

@garrytan The software engineering job market is about to “sprint” towards chaos. 😭

Overlap: Business & Tech 的头像

Overlap: Business & Tech1 年前

@garrytan 👀

Shane Plumer, Esq. 的头像

Shane Plumer, Esq.1 年前

@bensig

AdrianoFeria.eth 🦇🔊 🛡️ 的头像

AdrianoFeria.eth 🦇🔊 🛡️1 年前

Less grunt work, more high level problem solving and the ability to quickly materialize ideas into prototypes and products.

Ed Humbling 的头像

Ed Humbling1 年前

Believe that strongly. Love you overlap

Mykhailo Sorochuk 的头像

Mykhailo Sorochuk1 年前

Totally agree. Gonna be a wild ride for devs.

Kevin Bass PhD MS 的头像

Kevin Bass PhD MS1 年前

We're already nearly there. Just a few tweaks to optimize the coding assistants, tool calling, and a bit more model power, and everything is going to explode.

CDS 的头像

CDS1 年前

code becoming a vibes

Rehan Momin 的头像

Rehan Momin1 年前

Hey please you are help full could you help me get a internship in like some of the yc base startup like you and windsurf or something like in windsurf please @windsurf_ai @codeiumdev please get me as Intern varun I have great Idea you will love it to hear , I want, talk to yc

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Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Haider.

137,906 次观看 • 1 年前

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

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The Pragmatic Engineer

39,011 次观看 • 3 个月前

We've built a massive verification bottleneck: • 72% of developers use AI to generate code every day • 96% of them don't fully trust it Writing code is now free. All the work now is verifying that the code does what it's supposed to. According to a new State of Code Survey, almost half of the respondents believe the number one skill that will matter most in the coming years is "reviewing and validating AI-generated code for quality and security". Not prompt engineering or vibe-coding, but checking AI's work.

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Santiago

16,299 次观看 • 7 个月前

Insane: 90-95% of Claude Code is now written by Claude Code. I asked Mike Krieger (Anthropic's CPO) what changes when so much of your code is written by AI? His answer: The bottleneck moves from coding/design to: 1. Upstream: aligning the team around what to build. 2. Downstream: the PR merge queue, reviewing and merging all of the new code into production. Anthropic is where other product teams will be in a year or two, so it's important we pay attention. "I would expect that a year from now, the way that we are conceiving of building and shipping software changes a lot. Because it's gonna be very painful to do it the current way."

Insane: 90-95% of Claude Code is now written by Claude Code. I asked Mike Krieger (Anthropic's CPO) what changes when so much of your code is written by AI? His answer: The bottleneck moves from coding/design to: 1. Upstream: aligning the team around what to build. 2. Downstream: the PR merge queue, reviewing and merging all of the new code into production. Anthropic is where other product teams will be in a year or two, so it's important we pay attention. "I would expect that a year from now, the way that we are conceiving of building and shipping software changes a lot. Because it's gonna be very painful to do it the current way."

Lenny Rachitsky

369,920 次观看 • 1 年前

Antigravity + Claude Code Is INSANE! 🤯 Build entire apps without writing code. No more manual coding bottlenecks. No more slow development cycles. Here’s the new play 👇 → AI agents automate backend systems → Claude Code handles precision frontend → Deploy complex features in hours → Full terminal-native workflow integration → Verifiable outputs for every task Master AI automation now. Early adopters are scaling 10x faster. Want the full guide? DM me.

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Julian Goldie SEO

26,305 次观看 • 7 个月前

Let's face it: AI can check your code 100x faster and catch 10x more issues than you can. "Code reviews" as a widespread practice is not coming back. There are only two reasons we should consider code reviews today: 1. To transfer knowledge within a team. 2. To ensure AI didn't miss critical aspects in the code. We are getting closer to a point where manually reviewing code will be as relevant as punching holes in a punch card. Here is one idea for you:

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Santiago

48,783 次观看 • 1 年前

I force Claude Code to review every single line of code it generates for security vulnerabilities. This is table stakes. Companies shouldn't allow their developers to commit any code without doing this first. (MCP is an amazing way to improve Claude Code's capabilities and generate code that's 10x better than what you get out of the box.)

I force Claude Code to review every single line of code it generates for security vulnerabilities. This is table stakes. Companies shouldn't allow their developers to commit any code without doing this first. (MCP is an amazing way to improve Claude Code's capabilities and generate code that's 10x better than what you get out of the box.)

Santiago

81,625 次观看 • 10 个月前

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Steve (Builder.io)

111,233 次观看 • 1 年前

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Roan

37,862 次观看 • 1 个月前

Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs

Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs

Ben Awad

534,992 次观看 • 7 个月前

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Elon Musk predicts that AI will bypass coding entirely by the end of 2026 - just creates the binary directly AI can create a much more efficient binary than can be done by any compiler So just say, "Create optimized binary for this particular outcome," and you actually bypass even traditional coding Current: Code → Compiler → Binary → Execute Future: Prompt → AI-generated Binary → Execute Grok Code is going to be state-of-the-art in 2–3 months Software development is about to fundamentally change

X Freeze

1,441,030 次观看 • 6 个月前

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,425 次观看 • 8 个月前

Even if AI will write 90% of code. But it won’t replace engineers. Windsurf’s founder explains that even if AI generates most of the code, engineers still spend time reviewing it, debugging issues, designing systems, testing, deploying, and making architectural decisions. Those parts don’t disappear. He brings up Amdahl’s Law to make the point: speeding up one part of the workflow doesn’t dramatically change the total time unless everything else speeds up too. For example, if writing code takes 30 out of 100 total time units, and AI brings it down to 3, the total time still only drops to 73. That’s just a 27% improvement. More productivity doesn’t mean fewer engineers. It just increases the ROI of building tech. And when ROI goes up, companies are more likely to build—and hire more people to do it. Take JPMorgan Chase. They have 50,000+ engineers and a $17B software budget. If each engineer can ship more software, that doesn’t reduce headcount. It raises the cost of not building. Companies like Windsurf and Anthropic are hiring more engineers—not less—despite being at the edge of AI code generation.

Even if AI will write 90% of code. But it won’t replace engineers. Windsurf’s founder explains that even if AI generates most of the code, engineers still spend time reviewing it, debugging issues, designing systems, testing, deploying, and making architectural decisions. Those parts don’t disappear. He brings up Amdahl’s Law to make the point: speeding up one part of the workflow doesn’t dramatically change the total time unless everything else speeds up too. For example, if writing code takes 30 out of 100 total time units, and AI brings it down to 3, the total time still only drops to 73. That’s just a 27% improvement. More productivity doesn’t mean fewer engineers. It just increases the ROI of building tech. And when ROI goes up, companies are more likely to build—and hire more people to do it. Take JPMorgan Chase. They have 50,000+ engineers and a $17B software budget. If each engineer can ship more software, that doesn’t reduce headcount. It raises the cost of not building. Companies like Windsurf and Anthropic are hiring more engineers—not less—despite being at the edge of AI code generation.

Aish

27,268 次观看 • 1 年前