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Validation remains the main bottleneck in agentic coding. As agents generate features quickly, humans are left to review and validate their work: security, stability, performance, compliance, UX, design, copy, and more. This is not scalable. Truly unattended, production-ready agentic coding requires rethinking how quality is built into the process....

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Shai Wininger

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26,509 просмотров • 9 месяцев назад •via X (Twitter)

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This time, I tried using AI to perform a multi-character rendition of the main storyline of my game, which is still in development, incorporating complete character reference images and scene models. The results were quite interesting. While there are still some significant errors in the details, I believe AI can be integrated into the production pipeline to quickly validate the plausibility of narrative expressions. I won't let AI become a part of my final work, but it is likely to become a key tool in my development workflow for team communication, technical and narrative validation, and various types of testing, saving a tremendous amount of development time and communication costs.
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This time, I tried using AI to perform a multi-character rendition of the main storyline of my game, which is still in development, incorporating complete character reference images and scene models. The results were quite interesting. While there are still some significant errors in the details, I believe AI can be integrated into the production pipeline to quickly validate the plausibility of narrative expressions. I won't let AI become a part of my final work, but it is likely to become a key tool in my development workflow for team communication, technical and narrative validation, and various types of testing, saving a tremendous amount of development time and communication costs.

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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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88,070 просмотров • 8 месяцев назад

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14,511 просмотров • 4 дней назад

Mark Zuckerberg says the future of coding is closer than we think: AI agents inside Meta are being built not as generic developer tools, but to push Llama research forward — fully integrated into their workflow. He predicts that within 12–18 months, most of the code for these efforts could be written by AI itself — not simple autocomplete, but systems that take goals, run tests, fix bugs, improve performance, and even write higher-quality code than many skilled engineers. The real takeaway? This is only one part of a massive AI landscape, and no single company will dominate it all. Meta is building its own internal agents designed specifically to advance Llama research — deeply connected to their toolchain rather than built for enterprise customers. He expects that within the next year to year-and-a-half, AI will be writing most of the code in these projects, going far beyond autocomplete — understanding goals, running experiments, finding issues, and continuously improving systems. And according to him, this shift will become a core driver of how AI itself evolves. Meta is investing heavily in coding and research agents deeply integrated into their own systems, focused on advancing Llama rather than building broad enterprise tools. He expects AI will soon move beyond autocomplete to fully goal-driven coding — testing, debugging, improving, and producing high-quality results. But in his view, the AI revolution is too big for any single winner — multiple players and approaches will shape the future.
2:36

Mark Zuckerberg says the future of coding is closer than we think: AI agents inside Meta are being built not as generic developer tools, but to push Llama research forward — fully integrated into their workflow. He predicts that within 12–18 months, most of the code for these efforts could be written by AI itself — not simple autocomplete, but systems that take goals, run tests, fix bugs, improve performance, and even write higher-quality code than many skilled engineers. The real takeaway? This is only one part of a massive AI landscape, and no single company will dominate it all. Meta is building its own internal agents designed specifically to advance Llama research — deeply connected to their toolchain rather than built for enterprise customers. He expects that within the next year to year-and-a-half, AI will be writing most of the code in these projects, going far beyond autocomplete — understanding goals, running experiments, finding issues, and continuously improving systems. And according to him, this shift will become a core driver of how AI itself evolves. Meta is investing heavily in coding and research agents deeply integrated into their own systems, focused on advancing Llama rather than building broad enterprise tools. He expects AI will soon move beyond autocomplete to fully goal-driven coding — testing, debugging, improving, and producing high-quality results. But in his view, the AI revolution is too big for any single winner — multiple players and approaches will shape the future.

Ian Miles Cheong

20,561 просмотров • 3 месяцев назад

We're in the AI Agents era. And Uomi is set to make a powerful impact in the real world through economic agency. This is how the future of AI agents on the blockchain is being built: 🔘L1 infrastructure designed for reliable interactions between smart contracts and AI inferences 🔘AI agents empowered to control digital assets 🔘Creation of autonomous agents for multiple functionalities, including X account management, NFT creation, gaming NPCs and traders The testnet is already live, so you can try some of these functionalities today! The IDO of UOMI is coming to Seedify very soon - get your $SFUND and be ready for the revolution!
0:28

We're in the AI Agents era. And Uomi is set to make a powerful impact in the real world through economic agency. This is how the future of AI agents on the blockchain is being built: 🔘L1 infrastructure designed for reliable interactions between smart contracts and AI inferences 🔘AI agents empowered to control digital assets 🔘Creation of autonomous agents for multiple functionalities, including X account management, NFT creation, gaming NPCs and traders The testnet is already live, so you can try some of these functionalities today! The IDO of UOMI is coming to Seedify very soon - get your $SFUND and be ready for the revolution!

Seedify

11,486 просмотров • 1 год 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."
1:12

"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 • 4 месяцев назад