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Zuckjet@Zuckjet·12 Mar

GitHub Actions also need a version management tool for automatic upgrades.

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Zuckjet@Zuckjet·11 Mar

Can you really build a full-scale, production-ready project entirely with AI? Today, we’re kicking off a crazy experiment — letting non-developers use AI to rewrite a project I’ve been maintaining for two years. Most AI projects shared on social media are one-off “toy” projects, with no ongoing updates. So… can AI actually handle a real, long-term project? We’ll document everything — and see if it’s a miracle or a disaster. What do you think? And follow along — the results might change how you think about AI forever.

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Zuckjet@Zuckjet·11 Mar

It's 2026, and Claude still insists on using docker-compose instead of docker compose — completely ignoring the fact that the old one doesn't even run on newer versions anymore. 🤦

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Zuckjet@Zuckjet·4 Mar

@jezell Agreed. One notable downside, though: since the entire project is generated by AI in one go, the codebase can be overwhelming to read and understand. With an incremental approach, each change is small and contained, making it far easier to follow.

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Jesse Ezell@jezell·4 Mar

@Zuckjet Spec driven is waterfall for agents. The code is the spec.

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Zuckjet@Zuckjet·4 Mar

When using AI for software development, there are generally two prevailing approaches: Rapid Prototype-Driven: Let the AI quickly scaffold the core functionality first, then incrementally layer on additional features, followed by continuous iteration and refactoring. Documentation-First Driven: Before writing a single line of code, systematically design a comprehensive project document — covering functional requirements, system architecture, and technology stack choices — then hand it off to the AI to implement accordingly. Which approach do you think is superior?

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Zuckjet@Zuckjet·4 Mar

@BenjDicken Can we say "Fastest"

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Ben Dicken@BenjDicken·3 Mar

The fast ORM is joining PlanetScale.

PlanetScale@PlanetScale

We're excited to announce @DrizzleORM is joining PlanetScale! planetscale.com/blog/drizzle-j…

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Zuckjet@Zuckjet·2 Mar

The web version of Google Gemini offers a very poor user experience. After sending a prompt, the page often gets stuck on the “waiting for response” screen as if nothing is happening. In reality, the response has already been generated—it just doesn’t display properly. You have to manually refresh the page to see the result.

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We rebuilt Next.js in a week. No, really. The team ported the framework to run natively on Workers to prove what’s possible with edge-first architecture. Dive into the technical hurdles we solved to eliminate Node.js dependencies. cfl.re/4ciNc3L

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Zuckjet@Zuckjet·25 Şub

I have never been optimistic about OpenNext, mainly because it faces numerous limitations when handling the build output of Next.js. While using AI to clone a Next.js project that can be deployed across all platforms may sound intriguing, I don’t believe we need a problematic clone of Next.js. Instead, I would rather focus my energy on existing, more vibrant frameworks, such as TanStack. Claims about using AI to quickly clone a pixel-perfect product often imply that the resulting product is likely to contain many bugs, and its future maintainability and iteration will pose significant challenges.

Cloudflare@Cloudflare

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Zuckjet@Zuckjet·7 Şub

@burcs @Cloudflare @CloudflareDev Thank you for your reply, I understand now. It turns out this is not a date picker, but rather a way to directly edit the time. Once the text is selected and highlighted, you can directly enter numbers.

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brandon@burcs·7 Şub

@Zuckjet @Cloudflare @CloudflareDev i can look into this, could you do me a favor and try hard refreshing though? we just updated this page and this looks like an older version of it

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Zuckjet@Zuckjet·6 Şub

You can't customize the time range when viewing Cloudflare Worker logs. There appears to be a time picker, but it's unresponsive when clicked. @Cloudflare @CloudflareDev

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Zuckjet@Zuckjet·28 Oca

This is indeed an impressive product. However, financial data is highly sensitive and private. How do you ensure the security and confidentiality of users’ information? For instance, do you utilize any AI models? If so, what measures are in place to guarantee that private data is neither used for model training nor exposed to any leaks?

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Ramp Labs@RampLabs·28 Oca

A finance team just sent us this. They ran a full budget vs. actuals analysis in under 5 minutes. Uploaded their budget P&L and 10 months of GL actuals. Ramp Sheets matched every line item, calculated variances, and flagged problem areas. This used to take half a day.

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Zuckjet@Zuckjet·27 Oca

@AzureSupport

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Zuckjet@Zuckjet·27 Oca

I intended to use the AI models available on Azure’s Microsoft Foundry, but discovered that my account has been assigned a usage quota of zero. This means I cannot access or run any services at all. For a commercial product, I find it puzzling why they would impose such strict limitations on users who are eager to try and adopt the service. This approach is hard to understand and seems counterproductive for product adoption and long-term user engagement. @Azure

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Zuckjet@Zuckjet·24 Oca

In promoting AI-powered spreadsheet tools, the biggest barrier isn’t capability—it’s data privacy. Even if an AI provider promises a special “secure” service that ensures no leakage, many companies—especially publicly listed ones—remain cautious. The reason is simple: the impact of leaked source code could be somewhat mitigated through fixes, but leakage of confidential financial data for a listed company could be catastrophic. It’s a compliance nightmare with potentially irreversible economic and legal consequences. That’s why enterprise adoption of AI in sensitive data workflows comes with far stricter approval and testing than many in tech might expect.

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Zuckjet@Zuckjet·24 Oca

@daniel_mac8 I am very optimistic about AI Excel; I had already developed a similar product before the release of Claude in Excel. x.com/Zuckjet/status…

Zuckjet@Zuckjet

Yesterday, Anthropic unveiled Claude in Excel, and it instantly cast a shadow over the future of my newly built product. Just last weekend, I spent two days of my holiday developing an AI-powered Excel tool. It can not only handle complex spreadsheet operations and merge data across multiple sheets, but also generate images and PowerPoint presentations based on the content. I chose Anthropic’s most advanced model to power it, and the test results exceeded my expectations, filling me with confidence. But with the release of Claude in Excel, I suddenly realized: when internet giants step into a domain, independent products often stand little chance. In today’s era of rapid AI development, small teams can indeed prototype ideas faster and seemingly have more opportunities. Yet the reality remains unchanged—before and after AI, one thing is constant: the moment the giants enter, your product may be replaced overnight.

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Dan McAteer@daniel_mac8·24 Oca

Microsoft Excel is still the most popular business application, by far. Now, any normie in their corporate job can directly experience the magic of Claude in Excel for $20/mo. Personally completed a project that would have taken 2 weeks in 30 mins. This is a huge deal.

Claude in Excel is now available on Pro plans. Claude now accepts multiple files via drag and drop, avoids overwriting your existing cells, and handles longer sessions with auto compaction. Get started: claude.com/claude-in-excel

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Zuckjet@Zuckjet·24 Oca

This hits on the key issue with this product. From my experience promoting a similar product I built a week ago, data privacy and security was the biggest hurdle. For instance, the sensitivity of financial data dictates that any AI integration would almost certainly require the model to be deployed internally by the client. x.com/Zuckjet/status…

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Packy McCormick@packyM·24 Oca

You only have 9 years to start an AI-native investment bank before all the big ones let their analysts use this.

Claude in Excel is now available on Pro plans. Claude now accepts multiple files via drag and drop, avoids overwriting your existing cells, and handles longer sessions with auto compaction. Get started: claude.com/claude-in-excel

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Zuckjet@Zuckjet·24 Oca

@rohanpaul_ai It just killed my product: x.com/Zuckjet/status…

Zuckjet@Zuckjet

Yesterday, Anthropic unveiled Claude in Excel, and it instantly cast a shadow over the future of my newly built product. Just last weekend, I spent two days of my holiday developing an AI-powered Excel tool. It can not only handle complex spreadsheet operations and merge data across multiple sheets, but also generate images and PowerPoint presentations based on the content. I chose Anthropic’s most advanced model to power it, and the test results exceeded my expectations, filling me with confidence. But with the release of Claude in Excel, I suddenly realized: when internet giants step into a domain, independent products often stand little chance. In today’s era of rapid AI development, small teams can indeed prototype ideas faster and seemingly have more opportunities. Yet the reality remains unchanged—before and after AI, one thing is constant: the moment the giants enter, your product may be replaced overnight.

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Rohan Paul@rohanpaul_ai·24 Oca

Claude is now available directly in Excel 🚨 - a full-stack spreadsheet assistant: - Claude sits in your spreadsheet sidebar, scans your entire workbook—formulas, sheets, links—and lets you actually chat with it. - You can ask anything - Experiment without fear. e.g. formulaes. Claude safely updates everything, keeps formulas intact, and tells you what changed. - Instant error fixes. i.e. when you run into #REF!, #VALUE!, or circular reference errors, Claude spots and explains them instantly—and helps you fix them. - Build smarter models. e.g. SaaS valuation/projection, CAC payback, or retention analysis from CSVs. Claude can assemble or complete the model while keeping the formulas and logic solid.

Claude in Excel is now available on Pro plans. Claude now accepts multiple files via drag and drop, avoids overwriting your existing cells, and handles longer sessions with auto compaction. Get started: claude.com/claude-in-excel

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Zuckjet@Zuckjet·24 Oca

@jarrodwatts I am very optimistic about AI Excel; I had already developed a similar product before the release of Claude in Excel. x.com/Zuckjet/status…

Zuckjet@Zuckjet

Yesterday, Anthropic unveiled Claude in Excel, and it instantly cast a shadow over the future of my newly built product. Just last weekend, I spent two days of my holiday developing an AI-powered Excel tool. It can not only handle complex spreadsheet operations and merge data across multiple sheets, but also generate images and PowerPoint presentations based on the content. I chose Anthropic’s most advanced model to power it, and the test results exceeded my expectations, filling me with confidence. But with the release of Claude in Excel, I suddenly realized: when internet giants step into a domain, independent products often stand little chance. In today’s era of rapid AI development, small teams can indeed prototype ideas faster and seemingly have more opportunities. Yet the reality remains unchanged—before and after AI, one thing is constant: the moment the giants enter, your product may be replaced overnight.

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Jarrod Watts@jarrodwatts·24 Oca

This is likely a bigger “oh shit” moment than Claude Cowork. Unlike Cowork, it’s immediately obvious to users what you use this for and how. It’s applies Claude Code’s magical feedback loop of “wait, it can actually do that?” to something used by nearly every modern business.