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It doesn’t matter how fast your code is generated if the requirements are unclear. Shit in == shit out. That’s why we designed Software Factory as a discipline, not as a convenience tool. Our agents scrutinize your requirements and designs so that when you pass that context to a... show more

Chamath Palihapitiya

2,146,510 subscribers

305,165 views • 4 months ago •via X (Twitter)

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Software leverage doesn’t come from faster typing. It comes from stronger coordination. Software Factory is a multiplayer platform: shared requirements, blueprints, and work orders flow to coding agents via MCP. Alignment first. Then parallel execution. Try it:

Software leverage doesn’t come from faster typing. It comes from stronger coordination. Software Factory is a multiplayer platform: shared requirements, blueprints, and work orders flow to coding agents via MCP. Alignment first. Then parallel execution. Try it:

Chamath Palihapitiya

142,969 views • 4 months ago

No, it doesn’t. It doesn’t look to you like he did it in self-defense, you know it doesn’t. You are lying to the American people straight to our faces as if we are actually supposed to eat your shit. We are not Mike. You’re a pathetic man with no honor. That’s all there is to it.

No, it doesn’t. It doesn’t look to you like he did it in self-defense, you know it doesn’t. You are lying to the American people straight to our faces as if we are actually supposed to eat your shit. We are not Mike. You’re a pathetic man with no honor. That’s all there is to it.

MAGA Cult Slayer🦅🇺🇸

42,403 views • 4 months ago

your coding agent sucks because it lacks context. so I built nia to fix that. here is how you can 10x your coding agent (thread):

your coding agent sucks because it lacks context. so I built nia to fix that. here is how you can 10x your coding agent (thread):

Arlan

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Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.

Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.

mikeBuildsMore

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YC F24's @ManicodeAI is a CLI tool that writes code for you. It uses your codebase as context and edits your files automatically. Try it out: `npm i -g manicode` Congrats on the launch, James Grugett and Brandon Chen!

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Y Combinator

277,239 views • 1 year ago

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

124,713 views • 5 months ago

LAPD: Before we do anything here, we have to get a search warrant because there are issues regarding standing at this residence. So as long as those legal requirements are met, we can continue the investigation. Now, when I tell you that we have not identified a suspect, it doesn't mean that we're not working the case. We will not identify a suspect until that person is identified as a suspect. And we're legally seeking them. If there is a crime to be reported, and if that person is a suspect in that crime, did that.

LAPD: Before we do anything here, we have to get a search warrant because there are issues regarding standing at this residence. So as long as those legal requirements are met, we can continue the investigation. Now, when I tell you that we have not identified a suspect, it doesn't mean that we're not working the case. We will not identify a suspect until that person is identified as a suspect. And we're legally seeking them. If there is a crime to be reported, and if that person is a suspect in that crime, did that.

Acyn

607,579 views • 6 months ago

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

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Andrew Ng

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OpenAI just released Codex Security, an AI agent that scans software projects to fix vulnerabilities while ignoring harmless bugs. Testing on 1.2mn commits found 792 critical flaws and dropped false alarms by 50%. Here is how the Codex Security agent works Initially, it scans your software project to learn how all the different pieces of code connect. It uses that knowledge to build a threat model, which acts as a custom map showing exactly where your software might be exposed to hackers. The agent then hunts for potential security holes based on that specific map. When it spots a possible flaw, it does not just send you a random alert. Instead, it creates a completely safe and isolated copy of your system known as a sandbox. The agent then actively tries to break into that sandboxed copy to prove if the security weakness is a real danger. If the agent successfully exploits its own test environment, it knows the bug is a genuine threat and not a false alarm. After confirming the danger, the agent writes a custom software patch to fix the broken code. It then tests that new patch to guarantee the fix does not accidentally break any other features in your software.

OpenAI just released Codex Security, an AI agent that scans software projects to fix vulnerabilities while ignoring harmless bugs. Testing on 1.2mn commits found 792 critical flaws and dropped false alarms by 50%. Here is how the Codex Security agent works Initially, it scans your software project to learn how all the different pieces of code connect. It uses that knowledge to build a threat model, which acts as a custom map showing exactly where your software might be exposed to hackers. The agent then hunts for potential security holes based on that specific map. When it spots a possible flaw, it does not just send you a random alert. Instead, it creates a completely safe and isolated copy of your system known as a sandbox. The agent then actively tries to break into that sandboxed copy to prove if the security weakness is a real danger. If the agent successfully exploits its own test environment, it knows the bug is a genuine threat and not a false alarm. After confirming the danger, the agent writes a custom software patch to fix the broken code. It then tests that new patch to guarantee the fix does not accidentally break any other features in your software.

Rohan Paul

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8090

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Have you always wanted to vibe code be found it overwhelming? We got you! Welcome to the first lesson of Ramping up with Replit! 👩🏻‍💻 Today we are going to build your first app. We understand that it may feel a bit hard to start your vibe coding journey, so we are going to show you that it is as simple as Do Re Mi 🎶

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Replit ⠕

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.Secretary Marco Rubio has been clear that if you are in the United States, even as a student, you are expected abide by our laws. We are going to hold people to the basic requirements and standards of being in our country.

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“When…you start referring to our agents as being dangerous, unconstitutional, and lawless — that’s why our agent death threats are up 8,000%. I know that’s not what you want. But your political theatre, that’s what it causes.” Secretary Markwayne Mullin

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17,171 views • 4 months ago

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20,786 views • 15 days ago

WHOA! It doesn't matter if it is local PD or ICE agents, if you use your vehicle as a weapon, it will NOT end well.

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AmericanPapaBear™

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Stop using racism as a shield when we call you out for fraud Stop using racism as an excuse when we demand voter ID requirements Stop weaponizing racism when ICE agents are simply enforcing our immigration laws No one buys it anymore Woke is dead. HerTake

Stop using racism as a shield when we call you out for fraud Stop using racism as an excuse when we demand voter ID requirements Stop weaponizing racism when ICE agents are simply enforcing our immigration laws No one buys it anymore Woke is dead. HerTake

Lindy Li

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For a long time, software was limited by how fast people could write code, and how good that code was. As models have improved, that constraint has largely disappeared. Now the bottleneck is access: what surfaces can your agents actually reach? Those interaction layers sit on top of coding agents, the kernel that turns prompts into real-world impact. With Notion's custom agents, we pushed this further. They adapt to your work style as you collaborate with them, using the same deterministic logic that powers coding agents. Simon Last sarah guo

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Notion Developers

25,065 views • 2 months ago

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:

Simular

14,182 views • 1 month ago