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Tokenmaxxing is throwing money down the drain Analyzed 1M+ PRs over 2.4k companies and here are the stats: - 1 in every 4 lines is code churn - Only 21% of code review comments are addressed - at the 90% percentile, 76% of work is reactive bug fixes Full...

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Aiswarya Sankar

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576,681 görüntüleme • 1 ay önce •via X (Twitter)

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After altering 1200+ lines of code ares island is now done (as always check the thread down below if you are not familiar of the "nature" of this mod 👇)
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After altering 1200+ lines of code ares island is now done (as always check the thread down below if you are not familiar of the "nature" of this mod 👇)

Ace super💥

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The software factory is already here. We're seeing bots write code, bots review it, and humans reduced to dispatching the next tool in the chain. Using 500k+ PRs from Code Review Bench, we looked at one question: can the human leave the loop yet?
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The software factory is already here. We're seeing bots write code, bots review it, and humans reduced to dispatching the next tool in the chain. Using 500k+ PRs from Code Review Bench, we looked at one question: can the human leave the loop yet?

Martian

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Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:
4:42

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

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Stage is a code review platform designed to help engineers understand AI-generated code. Your team is drowning in an endless backlog of PRs. Stage turns code review into a guided process and enables you to review changes faster than using GitHub. Congrats on the launch, Charles Pan and Dean Stratakos!
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Stage is a code review platform designed to help engineers understand AI-generated code. Your team is drowning in an endless backlog of PRs. Stage turns code review into a guided process and enables you to review changes faster than using GitHub. Congrats on the launch, Charles Pan and Dean Stratakos!

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August is here and the code is calling. Across our 4 campuses, hundreds of Pisciners are stepping into a month of challenge, curiosity, and unstoppable coding energy. The stage is set, the keyboards are waiting, let the adventure begin.
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August is here and the code is calling. Across our 4 campuses, hundreds of Pisciners are stepping into a month of challenge, curiosity, and unstoppable coding energy. The stage is set, the keyboards are waiting, let the adventure begin.

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Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.
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Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.

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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.
3:25

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

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Creator of Claude Code: "100% of our pull requests at Anrtopic are run by Claude Code. 80-90% of code review too. The feature I’m using the most for my agents is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour podcast, Boris shows his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.
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Creator of Claude Code: "100% of our pull requests at Anrtopic are run by Claude Code. 80-90% of code review too. The feature I’m using the most for my agents is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour podcast, Boris shows his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.

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AI has completely changed how code gets written. Models can now generate thousands of lines in minutes. That speed is exciting but it also creates a new problem... reviews are slow. Context is missing. Bugs slip through. The bottleneck isn’t writing code anymore, it’s understanding and shipping it safely. It’s why I’ve been looking closely at tools built AI-first for this stage of the workflow. One that stands out is Graphite Agent. It sits inside your PRs and does what reviews have always struggled with at scale: → Explains logic line-by-line → Surfaces and fixes bugs → Resolves failing checks in context All without leaving the review flow.
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AI has completely changed how code gets written. Models can now generate thousands of lines in minutes. That speed is exciting but it also creates a new problem... reviews are slow. Context is missing. Bugs slip through. The bottleneck isn’t writing code anymore, it’s understanding and shipping it safely. It’s why I’ve been looking closely at tools built AI-first for this stage of the workflow. One that stands out is Graphite Agent. It sits inside your PRs and does what reviews have always struggled with at scale: → Explains logic line-by-line → Surfaces and fixes bugs → Resolves failing checks in context All without leaving the review flow.

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The person who built Claude Code just explained how he is using it "Now I just have an army of agents that are doing stuff" Only 18 minutes, the best Claude guide on the internet right now. Boris Cherny covered: > how Claude Code is moving beyond just engineers > routines for CI, code review, and daily workflows > why the loop is the next big leap > working with hundreds of agents at once everything is already running through agents, ignoring this is not an option that's exactly why I wrote a full guide on how to build one yourself with Claude Code article below

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The Storms Brewing 2.0 Update is still getting polish & bug fixes. In the meantime, here is a work in progress video of a desert Sandstorm and a Plague Spitter encounter.

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Workflows are now in Grok Build. Hand Grok a task a single conversation can't hold: Triage 100+ issues, or review thousands of lines of code in detail. Build plans the work, runs up to hundreds of agents in parallel, and comes back with one report.
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Workflows are now in Grok Build. Hand Grok a task a single conversation can't hold: Triage 100+ issues, or review thousands of lines of code in detail. Build plans the work, runs up to hundreds of agents in parallel, and comes back with one report.

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2:15

Boris Cherny: "Claude Code is 100% written by Claude Code, Cowork is 100% written by Claude Code" across all of Anthropic, 90% of code is written by Claude lawyers, designers, finance people are building real things with Claude Code right now with no CS degree, no background, nothing the people who built the tool use the tool to build the tool think about what that means for everyone else the guide on everything Claude can actually do is in the article below

Anatoli Kopadze

90,364 görüntüleme • 2 ay önce

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."
2:04

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."

The Pragmatic Engineer

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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.)
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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

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Cursor 1.0 is out now! Cursor can now review your code, remember its mistakes, and work on dozens of tasks in the background.
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Cursor 1.0 is out now! Cursor can now review your code, remember its mistakes, and work on dozens of tasks in the background.

Cursor

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🫆 Your birthday is your blueprint. 🧬 Your matrix is your code. What does yours say about you? I will post previews of mine below in the comments. 👇
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🫆 Your birthday is your blueprint. 🧬 Your matrix is your code. What does yours say about you? I will post previews of mine below in the comments. 👇

𝒦𝑒𝓁𝓁𝓎࿎☽

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How to create your Based Agent with 0 lines of code Recorded a quick demo video to show how easy it is and walk you through the entire process step-by-step All the links are in the comment below
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How to create your Based Agent with 0 lines of code Recorded a quick demo video to show how easy it is and walk you through the entire process step-by-step All the links are in the comment below

lincoln.base.eth

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