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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... show more

Ben Awad

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535,335 просмотров • 8 месяцев назад •via X (Twitter)

Образование Наука и технологии

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I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.

I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.

Namanyay

488,304 просмотров • 10 месяцев назад

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:

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:

Santiago

296,741 просмотров • 11 месяцев назад

Ignore AI. If you want to prepare for the future don't learn to code. Don't try to master AI. Read books. Doesn't matter which ones. Just read. Because reading teaches you to think for yourself. To have a dialogue inside your own head. That is the only skill that will matter. And it's the one thing AI cannot give you.

Ignore AI. If you want to prepare for the future don't learn to code. Don't try to master AI. Read books. Doesn't matter which ones. Just read. Because reading teaches you to think for yourself. To have a dialogue inside your own head. That is the only skill that will matter. And it's the one thing AI cannot give you.

Predictive History

25,902 просмотров • 2 месяцев назад

VS Code is adding new AI features every day to help you write code faster and better than ever. Here are a few favorites that I have that you should go try out right now. #vscode #githubcopilot

VS Code is adding new AI features every day to help you write code faster and better than ever. Here are a few favorites that I have that you should go try out right now. #vscode #githubcopilot

James Montemagno

24,786 просмотров • 1 год назад

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

64,438 просмотров • 9 месяцев назад

“100% OF MY CODE IS WRITTEN BY CLADE CODE” so I guess the lesson is, if you’re building 100% of an app with AI you should at least build solid harnesses around it to avoid production disasters. I don’t want to be the guy who kicks someone down when a mistake happens, but this is becoming a PATTERN. we saw the same thing happen to Amazon when Kiro deleted a production environment and caused a 13-hour outage. assuming the Claude Code team similar to Boris has relied 100% on Claude to build itself, there seems to be a lesson here to learn, earned through blood and tears: YOU SHOULD MAKE AS MUCH EFFORT TO BUILD AGAINST AI IF YOU BUILD WITH AI.

“100% OF MY CODE IS WRITTEN BY CLADE CODE” so I guess the lesson is, if you’re building 100% of an app with AI you should at least build solid harnesses around it to avoid production disasters. I don’t want to be the guy who kicks someone down when a mistake happens, but this is becoming a PATTERN. we saw the same thing happen to Amazon when Kiro deleted a production environment and caused a 13-hour outage. assuming the Claude Code team similar to Boris has relied 100% on Claude to build itself, there seems to be a lesson here to learn, earned through blood and tears: YOU SHOULD MAKE AS MUCH EFFORT TO BUILD AGAINST AI IF YOU BUILD WITH AI.

ℏεsam

19,347 просмотров • 5 месяцев назад

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 просмотров • 7 месяцев назад

this is the CLEAREST explanation of "ralph wiggum" on the internet and how you can use it with claude code/amp/etc and have AI agents build software for you 24/7 even while you sleep

this is the CLEAREST explanation of "ralph wiggum" on the internet and how you can use it with claude code/amp/etc and have AI agents build software for you 24/7 even while you sleep

GREG ISENBERG

304,139 просмотров • 8 месяцев назад

THIS IS WHAT AI PENTESTING SHOULD LOOK LIKE IN 2026 Someone built Shannon, an open source AI pentesting tool that doesn’t just scan your app from the outside. It reads the source code. Then it uses AI to map potential attack paths, identify vulnerabilities, and test the application before you ship it. The workflow is basically: → point Shannon at your code → connect your Claude API → let it analyze the application → get the findings in a dashboard Instead of waiting for a security team to manually hunt through every part of your codebase, you can have an AI security researcher working through it automatically. And because it’s white-box, it can see things traditional scanners can’t. This is where AI + cybersecurity gets REALLY interesting. Just use it on systems you own or have explicit permission to test. REPO BELOW

THIS IS WHAT AI PENTESTING SHOULD LOOK LIKE IN 2026 Someone built Shannon, an open source AI pentesting tool that doesn’t just scan your app from the outside. It reads the source code. Then it uses AI to map potential attack paths, identify vulnerabilities, and test the application before you ship it. The workflow is basically: → point Shannon at your code → connect your Claude API → let it analyze the application → get the findings in a dashboard Instead of waiting for a security team to manually hunt through every part of your codebase, you can have an AI security researcher working through it automatically. And because it’s white-box, it can see things traditional scanners can’t. This is where AI + cybersecurity gets REALLY interesting. Just use it on systems you own or have explicit permission to test. REPO BELOW

MAX

12,830 просмотров • 8 дней назад

Do you understand what's happening? It's not just "AI can make iOS apps" anymore. AI is eating up the entire software industry. Even Dario Amodei (founder of Claude) said 90% of all code in the world would be written by AI. In 20 minutes, I built this Duolingo for AI upskilling app with Superapp. The idea was simple - almost everyone today knows AI is the future, but most of them are still feeling left out. Their current jobs don't leave them with enough time to actually learn and build stuff with AI. There's AI dev, video making, animations, testing, etc. But no time or clear direction. So I built an app to fix exactly this. With AgentIQ, you get new lessons every day. Every time you learn something, it gets added to your skillset and automatically refreshes your portfolio. You level up with every new chapter/pathway. It is self-paced but gamified enough (like Duolingo) that you never get out of touch. Without spending hours or tonnes of money, you build stuff with n8n, openclaw, etc. You ship AI videos to market your own AI apps. This could be a proper ed-tech company if someone wants to continue building on top. Happy to share the entire source code with you if you wanna pursue it. Like + comment "AGENT" and I'll send you the app link, a comprehensive guide to build production-ready apps, and the entire source code for this.

Do you understand what's happening? It's not just "AI can make iOS apps" anymore. AI is eating up the entire software industry. Even Dario Amodei (founder of Claude) said 90% of all code in the world would be written by AI. In 20 minutes, I built this Duolingo for AI upskilling app with Superapp. The idea was simple - almost everyone today knows AI is the future, but most of them are still feeling left out. Their current jobs don't leave them with enough time to actually learn and build stuff with AI. There's AI dev, video making, animations, testing, etc. But no time or clear direction. So I built an app to fix exactly this. With AgentIQ, you get new lessons every day. Every time you learn something, it gets added to your skillset and automatically refreshes your portfolio. You level up with every new chapter/pathway. It is self-paced but gamified enough (like Duolingo) that you never get out of touch. Without spending hours or tonnes of money, you build stuff with n8n, openclaw, etc. You ship AI videos to market your own AI apps. This could be a proper ed-tech company if someone wants to continue building on top. Happy to share the entire source code with you if you wanna pursue it. Like + comment "AGENT" and I'll send you the app link, a comprehensive guide to build production-ready apps, and the entire source code for this.

Kritarth Mittal | Soshals

25,527 просмотров • 5 месяцев назад

An MCP server that detects production-grade code quality issues in real-time! Even though AI is now generating code at light speed, the engineering bottleneck has just moved from writing to reviewing, and now devs spend 90% of their debugging time on AI-generated code. AI reviewers aren't that reliable either because they share the same fundamental blind spots as AI generators do: - They pattern match, not proof check. - They validate syntax, not system behavior. - They review code, not consequences. I have been using the SonarQube MCP Server (by Sonar) to solve this. It produces enterprise-grade code analysis and returns instant feedback on bugs, vulnerabilities, and code smells right where you're working (Claude Code, Cursor, etc.). Its capabilities have emerged from the 750B+ lines of code SonarQube processes daily, so it has seen every bug pattern that exists. This includes: - Security vulnerabilities (SQL injection, XSS, hardcoded secrets) - Code smells and technical debt - Test coverage gaps - Maintainability issues The setup is simple: - Install the SonarQube MCP server - Add it to your AI assistant's config Done! SonarQube is now part of your AI coding workflow. I have shared the GitHub repo in the replies! P.S. Thanks to Sonar for working with me today.

An MCP server that detects production-grade code quality issues in real-time! Even though AI is now generating code at light speed, the engineering bottleneck has just moved from writing to reviewing, and now devs spend 90% of their debugging time on AI-generated code. AI reviewers aren't that reliable either because they share the same fundamental blind spots as AI generators do: - They pattern match, not proof check. - They validate syntax, not system behavior. - They review code, not consequences. I have been using the SonarQube MCP Server (by Sonar) to solve this. It produces enterprise-grade code analysis and returns instant feedback on bugs, vulnerabilities, and code smells right where you're working (Claude Code, Cursor, etc.). Its capabilities have emerged from the 750B+ lines of code SonarQube processes daily, so it has seen every bug pattern that exists. This includes: - Security vulnerabilities (SQL injection, XSS, hardcoded secrets) - Code smells and technical debt - Test coverage gaps - Maintainability issues The setup is simple: - Install the SonarQube MCP server - Add it to your AI assistant's config Done! SonarQube is now part of your AI coding workflow. I have shared the GitHub repo in the replies! P.S. Thanks to Sonar for working with me today.

Avi Chawla

28,628 просмотров • 9 месяцев назад

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Anatoli Kopadze

55,350 просмотров • 2 месяцев назад

You probably don’t use just one AI agent anymore. Maybe Codex for coding. Claude Code for research. Cursor for quick edits. Hermes for the rest. Each one is great at something different. But every time you switch, you have to start over — re-explaining your project, preferences, and the way you like to work. Your agents know how to help you. They just don’t share a memory of you. memU just shipped an update that fixes this. One personal memory, shared across every agent and device you use. What Codex learned last night, Claude Code can remember this morning. 🧵

You probably don’t use just one AI agent anymore. Maybe Codex for coding. Claude Code for research. Cursor for quick edits. Hermes for the rest. Each one is great at something different. But every time you switch, you have to start over — re-explaining your project, preferences, and the way you like to work. Your agents know how to help you. They just don’t share a memory of you. memU just shipped an update that fixes this. One personal memory, shared across every agent and device you use. What Codex learned last night, Claude Code can remember this morning. 🧵

Hasan

22,362 просмотров • 1 месяц назад

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Head of Engineering Shopify: "AI writes the code, AI reviews the code. Your job is just to write the loops around it." 26 minutes on how AI changed the way 3,000 engineers work inside a single company. Ignoring it while everyone else uses AI to do more is the fastest way to fall behind. Watch it, then read the step by step guide on loops below.

Anatoli Kopadze

716,840 просмотров • 2 месяцев назад

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."

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

39,073 просмотров • 3 месяцев назад

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

Andrew Ng

1,225,587 просмотров • 2 лет назад

sam altman: - someday everyone should have a personal robot. - we will definitely build humanoid robots, while also exploring other form factors. - the form factor is less important than figuring out the AI brain that makes the robot work. - he also agreed on building a kind of “super-app” that combines ChatGPT and Codex for AI. - he wants one AI interface that can do whatever you need. - it could use your computer and access your context when needed. - you shouldn't have to choose tabs, tools, or modes. AI should figure it out. - AI should be smart enough to understand what you want and act on it.

sam altman: - someday everyone should have a personal robot. - we will definitely build humanoid robots, while also exploring other form factors. - the form factor is less important than figuring out the AI brain that makes the robot work. - he also agreed on building a kind of “super-app” that combines ChatGPT and Codex for AI. - he wants one AI interface that can do whatever you need. - it could use your computer and access your context when needed. - you shouldn't have to choose tabs, tools, or modes. AI should figure it out. - AI should be smart enough to understand what you want and act on it.

SciTech Era

23,606 просмотров • 1 день назад

The NFINITY DApp Revamp – AI Creation, The Way It Should Be AI should be easy. AI should be seamless. AI should be built for the creators who actually use it. That’s exactly what we’ve done. By AI creators, for AI creators. Everything you need. All in one place. Seamless, overseeable, built with the user in mind. The transformation is complete. Now, it’s time to create.

The NFINITY DApp Revamp – AI Creation, The Way It Should Be AI should be easy. AI should be seamless. AI should be built for the creators who actually use it. That’s exactly what we’ve done. By AI creators, for AI creators. Everything you need. All in one place. Seamless, overseeable, built with the user in mind. The transformation is complete. Now, it’s time to create.

NFINITY AI

50,833 просмотров • 1 год назад

$IT'S HERE and it's ON!!! 🐜 VPR is now live for Claude Code, Codex, Cursor, and every AI tool you already use. A VPN for AI. Same models. A fraction of the cost. Fully anonymous. Download & try it: Take it for a spin and come tell us what you think 👇$

IT'S HERE and it's ON!!! 🐜 VPR is now live for Claude Code, Codex, Cursor, and every AI tool you already use. A VPN for AI. Same models. A fraction of the cost. Fully anonymous. Download & try it: Take it for a spin and come tell us what you think 👇

AntSeed

90,223 просмотров • 28 дней назад