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1/ Reviewing agent-written code usually comes down to reading a diff and hoping. That is the part of the workflow nobody solved. The models got very good at producing code, and the burden quietly moved to the person who has to decide whether it is safe to merge. You... show more

Chubby♨️

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16,711 次观看 • 1 个月前 •via X (Twitter)

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Chubby♨️ 的头像

Chubby♨️1 个月前

2/ Because the stack is really up, the test suite really runs. The agent builds the app, executes the tests, then opens a browser and clicks through the flow the way a user would. That run gets recorded, and the video is attached to the PR. So when the PR arrives, you watch the feature do the thing it claims to do, and then you approve the merge. It turns review from an act of trust into a few minutes of watching.

Chubby♨️ 的头像

Chubby♨️1 个月前

3/ The full loop is plan, build, test, review, merge. You set the destination with two links and a sentence, and the plan comes back to you for approval before anything gets built. From there you supervise by exception. If something drifts, you correct it. If it does not, you approve the result. That plan-approval step matters more than it sounds. It is where you catch a wrong interpretation for the price of one message instead of one wasted afternoon.

Chubby♨️ 的头像

Chubby♨️1 个月前

4/ Who is behind it: Prasanna Sankar, co-founder and former CTO of Rippling. Vorflux came out of stealth with a $15M seed led by Y Combinator, joined by Peak XV, Powerset and Alliance. They do not train their own models. They route across providers and assign per task, which is the sane call when the hard part sits in the harness around the model. 5/ Honest framing: this is built for teams carrying a real backlog and real testing debt. If you are poking at a small side project, it is more machinery than you need. For bigger installs their team configures the harness with you directly. You can sign up and run sessions yourself at @vorfluxai

Hussain Hashim | Building SundayBack 的头像

Hussain Hashim | Building SundayBack1 个月前

@kimmonismus totally get this. it's like we're outsourcing code review stress to devs now. trained models but human headaches.

Ian 的头像

Ian1 个月前

It sounds great but does it offer more benefits than just using a dual monitor and having an agent build and QA there. Instead of paying for a service to host your runs? It makes sense for the upcoming cloud dev wave and for agents but on cost and efficacy how does it compare?

Meshak 的头像

Meshak1 个月前

testing by watching a video, sounds really good

安叫兽|Bird🕊️ 🔶 BNB 的头像

安叫兽|Bird🕊️ 🔶 BNB1 个月前

生成快了，审查反而成了新的瓶颈。

Dani Debatte 的头像

Dani Debatte1 个月前

That more or less resembles my Rails dev workflow with TDD and the Spec-kit extension MAQA. Gonna take a look...

Elodie 3DFontaine 的头像

Elodie 3DFontaine1 个月前

After reviewing agent-written code for the fourth time this quarter, I’ve concluded that instinct and hope are the final boss of every merge.

DeDi 的头像

DeDi1 个月前

代码审查会成为代理工作流的主要瓶颈

DP (Durgaprasad) 的头像

DP (Durgaprasad)1 个月前

Thanks for featuring us

Crio Songo 的头像

Crio Songo1 个月前

That’s a really smart approach, right? Running AI-written code in a real production-like environment directly exposes hidden issues you can’t catch just reading diffs. This moves the verification burden back from humans to the platform, which is exactly what AI code workflow has been missing.

Sharon Riley 的头像

Sharon Riley1 个月前

Real environments make agent reviews safer

Ryan Tech Future 的头像

Ryan Tech Future1 个月前

That's great

Michael R Dawley Jr 的头像

Michael R Dawley Jr1 个月前

Strong thread. Moving review from reading a diff to watching evidence from a live stack is real progress. The next test is reproducibility: diverse model checks, replayable runs, idempotent retries, rollback and recovery. Otherwise the human bottleneck just moves.

Synapse Brief 的头像

Synapse Brief1 个月前

The real unlock here isn’t the agent — it’s the harness. Vorflux doesn’t train models; it routes across providers per task. That’s the sane architectural call when the hard part is orchestration, not generation. Prasanna Sankar built Rippling’s HR automation layer from the ground up as CTO. The man knows enterprise workflow stitching. Vorflux is that same “single source of truth” muscle applied to the dev loop — plan, build, test, review, merge. The video proof attached to every PR is the killer signal. Review shifts from reading a diff on instinct to watching the feature execute in a real cloud stack. That’s not a coding agent — it’s a verification engine. $15M seed from YC, Peak XV, and Balaji Srinivasan. The bet: tokens are cheap, human attention is the bottleneck. Vorflux spends tokens to save the one resource that actually scales a team.

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194,698 次观看 • 6 个月前

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Agents write code faster than we can review it. A huge PR is essentially a long list of files in alphabetical order. We think reviews can be more fun if you swap the limiting pages for a canvas, which is why we built PR canvas. You read the change in the order the logic runs. - A short summary shown on each card to help you understand what the piece of code does. - The canvas shows the relationship between each group. - Possible issues to check before approving, with standby agents of choice ready to attend to any of them. - Comment, mark as issue, and approve PRs. - Agents can also locally clarify on feedback before you mark as an issue. - It runs on your Mac, with your gh and your Claude Code/Codex/any available agent.

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11,688 次观看 • 7 天前

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The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

Raoul Pal

79,211 次观看 • 2 个月前

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anatoli Kopadze

28,042 次观看 • 3 个月前

Build it once. Earn every time someone uses it. Wrap your workflow with input and output nodes, hit publish, and your one-click app goes live to millions of creators. You choose how it lives: Keep it private, share with your team, or let the whole community run it. And every single time someone runs your app? Credits land in your account. No extra work. No maintenance. Just your creativity quietly paying you back, on repeat. Your workflow. Your rules. Your credits.

Build it once. Earn every time someone uses it. Wrap your workflow with input and output nodes, hit publish, and your one-click app goes live to millions of creators. You choose how it lives: Keep it private, share with your team, or let the whole community run it. And every single time someone runs your app? Credits land in your account. No extra work. No maintenance. Just your creativity quietly paying you back, on repeat. Your workflow. Your rules. Your credits.

ImagineArt

323,644 次观看 • 5 个月前

My new favorite way to build with agents is to organize them into a factory. This is the 4-step workflow: 1) Station. - A custom order gets its own station, so the order does not interfere with the rest of production. - In software, this station is a branch or a work tree. 2) Assembly line. - The agent writes code, changes files, and adds structure. 3) Quality control. - Does it turn on? - Does it fit? - Does it break under pressure? - In software, you run tests, open a preview, and read the logs and screenshots. 4) Shipping. - The product goes out the door. - You merge, deploy the PR, and write release notes. If a product fails quality control, you send feedback to the product team. Then you do the loop again. Write each step of your agent workflow as a factory job.

My new favorite way to build with agents is to organize them into a factory. This is the 4-step workflow: 1) Station. - A custom order gets its own station, so the order does not interfere with the rest of production. - In software, this station is a branch or a work tree. 2) Assembly line. - The agent writes code, changes files, and adds structure. 3) Quality control. - Does it turn on? - Does it fit? - Does it break under pressure? - In software, you run tests, open a preview, and read the logs and screenshots. 4) Shipping. - The product goes out the door. - You merge, deploy the PR, and write release notes. If a product fails quality control, you send feedback to the product team. Then you do the loop again. Write each step of your agent workflow as a factory job.

The Startup Ideas Podcast (SIP) 🧃

13,017 次观看 • 28 天前

THIS GUY VIBE CODED AN APP WITH CLAUDE CODE THAT SCANS YOUR RUBIKS CUBE AND SHOWS YOU HOW TO SOLVE IT IN 20 MOVES OR LESS theres a math fact called gods number. no matter how badly a rubiks cube is scrambled, it can always be solved in 20 moves or fewer this app actually shows you how: > point your camera at the cube and it reads the sticker colors on each side > it captures all 6 faces and figures out the exact state of the scrambled cube > then it computes the shortest solution, always 20 moves or under > you follow a 3d guide that walks you through each move until its solved so instead of being stuck on a scrambled cube forever, you scan it and get the shortest possible path to solved. the cool part is it all runs right in your browser, no install, no backend. it uses opencv to detect the cube, reads the colors in a way thats way more reliable under bad lighting, and runs the actual solving algorithm in the background so it keeps searching until the answer is 20 moves or fewer. in theory you only need to show it 3 sides for it to work

THIS GUY VIBE CODED AN APP WITH CLAUDE CODE THAT SCANS YOUR RUBIKS CUBE AND SHOWS YOU HOW TO SOLVE IT IN 20 MOVES OR LESS theres a math fact called gods number. no matter how badly a rubiks cube is scrambled, it can always be solved in 20 moves or fewer this app actually shows you how: > point your camera at the cube and it reads the sticker colors on each side > it captures all 6 faces and figures out the exact state of the scrambled cube > then it computes the shortest solution, always 20 moves or under > you follow a 3d guide that walks you through each move until its solved so instead of being stuck on a scrambled cube forever, you scan it and get the shortest possible path to solved. the cool part is it all runs right in your browser, no install, no backend. it uses opencv to detect the cube, reads the colors in a way thats way more reliable under bad lighting, and runs the actual solving algorithm in the background so it keeps searching until the answer is 20 moves or fewer. in theory you only need to show it 3 sides for it to work

Om Patel

85,695 次观看 • 3 个月前

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵

CreateOS

14,000 次观看 • 3 个月前

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."

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 次观看 • 4 个月前

If you're new to apps, you need to use XcodeBuildMCP. It takes all the rough edges out of working with Codex or Claude Code and Xcode. Your agent can build and run your app, and even check the UI to see if it looks good via Apple Accessibility APIs.

If you're new to apps, you need to use XcodeBuildMCP. It takes all the rough edges out of working with Codex or Claude Code and Xcode. Your agent can build and run your app, and even check the UI to see if it looks good via Apple Accessibility APIs.

Paul Solt

53,825 次观看 • 9 个月前

Comfy MCP is now local and open-source! The #1 ask after Comfy Cloud MCP shipped in June. Your agent sees your actual install. So every node, custom nodes included, and every model on disk. It fetches files, starts your instance, gets a workflow to the point where it runs. It is now the easiest way to help with your local Minimax H3 workflows! Cloud MCP still does everything it did. Tell your agent where a job goes, or let it decide.

Comfy MCP is now local and open-source! The #1 ask after Comfy Cloud MCP shipped in June. Your agent sees your actual install. So every node, custom nodes included, and every model on disk. It fetches files, starts your instance, gets a workflow to the point where it runs. It is now the easiest way to help with your local Minimax H3 workflows! Cloud MCP still does everything it did. Tell your agent where a job goes, or let it decide.

ComfyUI

185,508 次观看 • 1 个月前