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Engineering teams require focus now more than ever. We’ve changed the way we solve for paper cuts in the product while maintaining our speed of shipping: "The second [a bug] comes through Slack it triggers an agent that figures out the right team to send it to. That team’s... show more

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Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

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SpaceXAI engineer (ex-Cursor): "right now I've got 20-30 GrokBot agents running. they handle almost everything that used to eat my week one of them is a Chief of Staff. it knows every other bot I have and hands out the work itself" in a 56-minute speech, a SpaceXAI engineer walks through building an agent team that keeps shipping while you sleep worth more than a $500 course on agentic engineering watch today, then read how to build your own Grok agent team from scratch in the article below

SpaceXAI engineer (ex-Cursor): "right now I've got 20-30 GrokBot agents running. they handle almost everything that used to eat my week one of them is a Chief of Staff. it knows every other bot I have and hands out the work itself" in a 56-minute speech, a SpaceXAI engineer walks through building an agent team that keeps shipping while you sleep worth more than a $500 course on agentic engineering watch today, then read how to build your own Grok agent team from scratch in the article below

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The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

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A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

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SpaceXAI engineer (ex. Cursor): "i've got 10-20 GrokBot agents running right now. they handle about 90% of the routine there's a Chief of staff agent on top - it knows every other bot I have and runs the whole thing" in a 35-workshop, a SpaceXAI engineer walks through building a team of GrokBot agents that works around the clock Worth more than a $500 course on agentic engineering Watch today, then read how to build your own Grok agent team from scratch in the article below

SpaceXAI engineer (ex. Cursor): "i've got 10-20 GrokBot agents running right now. they handle about 90% of the routine there's a Chief of staff agent on top - it knows every other bot I have and runs the whole thing" in a 35-workshop, a SpaceXAI engineer walks through building a team of GrokBot agents that works around the clock Worth more than a $500 course on agentic engineering Watch today, then read how to build your own Grok agent team from scratch in the article below

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SpaceXAI engineer, Lauren Tan: "GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like" In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential worth more than a $500 agent engineering course on the internet Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below

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SpaceXAI engineer (ex-Cursor): "I've got 15-25 GrokBot agents running right now. they cover most of what used to be my week there's a Chief of Staff sitting on top of them. it knows every other bot I have and routes the work itself" in a 50-minute podcast, a SpaceXAI engineer walks through building a team of agents that keeps working while you sleep worth more than a $500 course on agentic engineering watch today, then read how to build your own Grok agent team from scratch in the article below

SpaceXAI engineer (ex-Cursor): "I've got 15-25 GrokBot agents running right now. they cover most of what used to be my week there's a Chief of Staff sitting on top of them. it knows every other bot I have and routes the work itself" in a 50-minute podcast, a SpaceXAI engineer walks through building a team of agents that keeps working while you sleep worth more than a $500 course on agentic engineering watch today, then read how to build your own Grok agent team from scratch in the article below

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SpaceXAI engineer (ex-Cursor): "I'm running 10-20 GrokBot agents right now, and they handle 90% of my routine. I don't even manage them, I have a Chief of Staff agent that knows all the others and manages everything." 50 minutes from a SpaceXAI engineer, showing exactly how to build a team of agents that works for you 24/7. Worth more than any $700 course on agentic engineering. Watch it, then read the step-by-step guide on building your own Grok agent team for free, with ready-to-copy prompts.

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The latest RAG trend for the current agent harnesses (Codex, Cowork) is to do two passes of document processing to solve a knowledge work task over a data room of documents: 1️⃣ A fast and light pass, oftentimes using a free/OSS doc parsing tool. This can be cheaply run across 10-100-1k’s of files, and enables the agent to then do retrieval (e.g. grep, semantic) to find relevant subsets of context. 2️⃣ A “just-in-time” VLM-based pass. Once the agent finds the relevant pages of context, it will screenshot the documents can call its own VLM (or write code) to dissect the pages. The issue with only using VLM-based OCR tools over massive ad-hoc customer file dumps is that it’s slow and expensive. Doing JIT VLM OCR allows the agent to filter through the data cheaply, but still preserve accuracy for the context that’s needed for the task. The agent harnesses do two-pass document processing by default using off the shelf-tools: pdf2text as the first pass, and using itself (Opus 5) as the second pass. See the below video where Cowork runs over a bunch of PDFs to answer a question about a benchmark graph in the Kimi k3 paper. The main issues here with the “out of the box” doc processing these agents offer are: * Opus 5 is not the best VLM for OCR. It is also way too expensive at scale and lacks grounding * The OSS tools like pypdf, pdf2text, may not be versatile enough as the first pass. * The agent will write a lot of throwaway code to rewrite things an OCR tool would’ve provided out of the box, like chart processing, bounding boxes, confidence scores, leading to increased cost and speed. We have all the tools within LlamaIndex 🦙 to help any agent do two-pass document processing with higher accuracy and lower cost. 1️⃣ We have liteparse for the first pass - a free/OSS parser written in Rust that’s faster/more accurate than other OSS parsers, and supports 50+ document types 2️⃣ We have LlamaParse for the second pass - an agentic document engine that uses VLMs+harnesses to achieve SOTA in accuracy and cost across various doc parsing and extraction tasks. It can be called from any agent harness as an MCP or skill. It takes in page numbers as input, so that the agent can choose to run LlamaParse over a subset of the doc instead of the full doc as a “zoom-in” pass. Come check it out! LiteParse: LlamaParse: All the relevant docs, including MCP, are here:

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SpaceXAI engineer, Lauren Tan: "Grok Bot has over a million users. Less than 1% use it the right way. at SpaceXAI, our engineers run 10-20 GrokBot agents that automate 90% of routine work." in 1 hour she shows exactly how to build a team of agents that will work for you 24/7. worth more than any $500 course on agentic engineering. watch it, then build your first Grok Bot agent with the article below.

SpaceXAI engineer, Lauren Tan: "Grok Bot has over a million users. Less than 1% use it the right way. at SpaceXAI, our engineers run 10-20 GrokBot agents that automate 90% of routine work." in 1 hour she shows exactly how to build a team of agents that will work for you 24/7. worth more than any $500 course on agentic engineering. watch it, then build your first Grok Bot agent with the article below.

Mahax

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Jeff Bezos explains the idea of “paper cut” teams “There are big things that are really important to manage — and by the way, it’s astonishingly hard to focus on just the big things. Even though they’re obvious, they’re really hard to focus on. But in addition to that, there are all these tiny customer deficiencies. We call those ‘paper cuts,’ and we make long lists of them. Then we have dedicated teams that go fix paper cuts. That’s because the teams that are working on the big issues never get to the paper cuts. They never work their way down the list. They’re working on big things — as they should and as you want them to — so you need special teams who are charged with fixing paper cuts.” Video source: Lex Fridman (2023)

Jeff Bezos explains the idea of “paper cut” teams “There are big things that are really important to manage — and by the way, it’s astonishingly hard to focus on just the big things. Even though they’re obvious, they’re really hard to focus on. But in addition to that, there are all these tiny customer deficiencies. We call those ‘paper cuts,’ and we make long lists of them. Then we have dedicated teams that go fix paper cuts. That’s because the teams that are working on the big issues never get to the paper cuts. They never work their way down the list. They’re working on big things — as they should and as you want them to — so you need special teams who are charged with fixing paper cuts.” Video source: Lex Fridman (2023)

Startup Archive

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Elon Musk believes that YES, prominent Democrats like Maxine Waters, Adam Schiff and Chuck Schumer have received USAID money funneled through NGOs “There is a massive amount of corruption — So they'll send the money overseas to one NGO, then it'll go through a bunch of them, and then I'm highly confident that a bunch of that money then comes back to the United States and lands in the pockets of the people you just mentioned.” “So what happens is there's money that, obviously it's your taxpayer money, that is then sent to various government organizations who then send it to, to NGOs, which, which an NGO is a non-governmental organization. But obviously if it's a government-funded non-governmental organization, it's just an organization, it's just a government. And effectively there's a giant fraud loophole, which is that the government can send money to an NGO that is then no longer governed by the law laws of the United States. So they'll, they'll send the money overseas to one NGO, then it'll go through a bunch of a bunch of them. And then I'm highly confident that a bunch of that money then comes back to the United States and lands in the pockets of the people you just mentioned. But it is a circuitous route. It's not like it doesn't go directly, but let's just say that there's a lot of strangely wealthy members of Congress where I'm trying to connect the dots of how did they become rich? Well earning, how'd they get $20 million if they're earning $200,000 a year? It sounds that's how, how do I just, nobody can explain that. So it’s something we're gonna try to figure it out and certainly stop it from happening. The whole NGO scam is just crazy — It’s blown my mind really”

Elon Musk believes that YES, prominent Democrats like Maxine Waters, Adam Schiff and Chuck Schumer have received USAID money funneled through NGOs “There is a massive amount of corruption — So they'll send the money overseas to one NGO, then it'll go through a bunch of them, and then I'm highly confident that a bunch of that money then comes back to the United States and lands in the pockets of the people you just mentioned.” “So what happens is there's money that, obviously it's your taxpayer money, that is then sent to various government organizations who then send it to, to NGOs, which, which an NGO is a non-governmental organization. But obviously if it's a government-funded non-governmental organization, it's just an organization, it's just a government. And effectively there's a giant fraud loophole, which is that the government can send money to an NGO that is then no longer governed by the law laws of the United States. So they'll, they'll send the money overseas to one NGO, then it'll go through a bunch of a bunch of them. And then I'm highly confident that a bunch of that money then comes back to the United States and lands in the pockets of the people you just mentioned. But it is a circuitous route. It's not like it doesn't go directly, but let's just say that there's a lot of strangely wealthy members of Congress where I'm trying to connect the dots of how did they become rich? Well earning, how'd they get $20 million if they're earning $200,000 a year? It sounds that's how, how do I just, nobody can explain that. So it’s something we're gonna try to figure it out and certainly stop it from happening. The whole NGO scam is just crazy — It’s blown my mind really”

Wall Street Apes

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SpaceXAI engineer: "one month ago GrokBot was nothing. now it is the best agent product on market my Grok Bot agent built a product and hired 100+ agents, that are working on this project together" in a 30-minutes workshop, a SpaceXAI engineer shows how to make agent to call your customers Worth more than a 3-hours lecture on building agents watch today, then read how to build a chain of Grok agents from scratch below

SpaceXAI engineer: "one month ago GrokBot was nothing. now it is the best agent product on market my Grok Bot agent built a product and hired 100+ agents, that are working on this project together" in a 30-minutes workshop, a SpaceXAI engineer shows how to make agent to call your customers Worth more than a 3-hours lecture on building agents watch today, then read how to build a chain of Grok agents from scratch below

0xRafy

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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

13,208 görüntüleme • 6 ay önce

today we introduce a beta of Krea in Slack. expand your team’s creative work with the latest AI models and an agent that adapts to your preferences. try it now at krea . ai

today we introduce a beta of Krea in Slack. expand your team’s creative work with the latest AI models and an agent that adapts to your preferences. try it now at krea . ai

Krea

17,140 görüntüleme • 1 ay önce

ELON: “IT’S AN HONOR TO WORK WITH THE BEST ROCKET ENGINEERING TEAM EVER ASSEMBLED” “It’s like this, if this was a video game, it’s set to maximum difficulty, but not impossible. That’s where we are. It’s not as though others ignored the concept of reusability, they just concluded that it was too difficult to achieve. We’ve been working on this for a long time at SpaceX, and I’m the chief engineer of the company. We have an extremely talented engineering team, the best rocket engineering team ever assembled. It’s an honor to work with such incredible people.” Source: Elon Musk SpaceX

ELON: “IT’S AN HONOR TO WORK WITH THE BEST ROCKET ENGINEERING TEAM EVER ASSEMBLED” “It’s like this, if this was a video game, it’s set to maximum difficulty, but not impossible. That’s where we are. It’s not as though others ignored the concept of reusability, they just concluded that it was too difficult to achieve. We’ve been working on this for a long time at SpaceX, and I’m the chief engineer of the company. We have an extremely talented engineering team, the best rocket engineering team ever assembled. It’s an honor to work with such incredible people.” Source: Elon Musk SpaceX

Mario Nawfal

1,116,695 görüntüleme • 11 ay önce

Creator of Claude Code: “I’m not just prompting agents anymore. I’m building a harness with graphs and loops - and the agents inside it are building my agent. In 3–6 months, we’ll all be engineering harnesses for our agentic systems.” In this 10-minute talk, Boris Cherny reveals what the future of agentic engineering will look like. Worth more than a $500 agentic AI course. Watch it today, then read the complete guide to building an agent harness in the article below.

Creator of Claude Code: “I’m not just prompting agents anymore. I’m building a harness with graphs and loops - and the agents inside it are building my agent. In 3–6 months, we’ll all be engineering harnesses for our agentic systems.” In this 10-minute talk, Boris Cherny reveals what the future of agentic engineering will look like. Worth more than a $500 agentic AI course. Watch it today, then read the complete guide to building an agent harness in the article below.

Ichigo

72,810 görüntüleme • 7 gün önce

🇨🇳🇺🇸🇪🇺 People can tell the mentality level of a Chinese and an American or a European just by they way they talk, it was an amazing speech. But the Chinese have changed. We used to go out of our way to debunk the anti-China media and trolls' lies. Now? Who gives a damn? We’ll keep building our future while they keep yapping like a bunch of powerless clowns.

🇨🇳🇺🇸🇪🇺 People can tell the mentality level of a Chinese and an American or a European just by they way they talk, it was an amazing speech. But the Chinese have changed. We used to go out of our way to debunk the anti-China media and trolls' lies. Now? Who gives a damn? We’ll keep building our future while they keep yapping like a bunch of powerless clowns.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

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