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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

Notion Developers

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15,009 просмотров • 1 месяц назад •via X (Twitter)

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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!

Harjot Gill

4,776,608 просмотров • 4 месяцев назад

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.

Ivan Burazin

64,497 просмотров • 4 месяцев назад

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.

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.

rvivek

11,870 просмотров • 2 месяцев назад

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

Carnage

33,121 просмотров • 11 дней назад

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady

Avid

638,269 просмотров • 3 месяцев назад

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

Carnage

497,195 просмотров • 2 дней назад

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.

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.

Anatoli Kopadze

132,604 просмотров • 5 дней назад

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

110,655 просмотров • 1 год назад

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

344,580 просмотров • 1 год назад

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 просмотров • 5 месяцев назад

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 просмотров • 20 дней назад

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 просмотров • 10 месяцев назад

🇨🇳🇺🇸🇪🇺 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

343,335 просмотров • 1 год назад

Today, we launched our official Claude connector at Quo (formerly OpenPhone). Now you can get insights from every customer conversation, send bulk messages, update contacts, and so much more - all directly inside Claude. I've been using this every day to understand how things are going for our inbound sales team, what's working with prospects, and where the coaching opportunities are. With the Claude connector, I create a scheduled task that scores all the transcripts from our Quo phone number against 2 of our sales rubrics and outputs a report with a summary, score, and any coaching opportunities. Let's be honest, no manager has time to listen to and score 50 calls a day. But Claude does. Now I just check Slack every morning, where Claude delivers all the context I need. Every Quo customer with Claude now has this capability (and so much more). Connecting the tools takes minutes, and then work that used to require an Engineering team is only a prompt away. Huge shout-out to everyone on our team for shipping this! I can't wait to see what you build with it.

Today, we launched our official Claude connector at Quo (formerly OpenPhone). Now you can get insights from every customer conversation, send bulk messages, update contacts, and so much more - all directly inside Claude. I've been using this every day to understand how things are going for our inbound sales team, what's working with prospects, and where the coaching opportunities are. With the Claude connector, I create a scheduled task that scores all the transcripts from our Quo phone number against 2 of our sales rubrics and outputs a report with a summary, score, and any coaching opportunities. Let's be honest, no manager has time to listen to and score 50 calls a day. But Claude does. Now I just check Slack every morning, where Claude delivers all the context I need. Every Quo customer with Claude now has this capability (and so much more). Connecting the tools takes minutes, and then work that used to require an Engineering team is only a prompt away. Huge shout-out to everyone on our team for shipping this! I can't wait to see what you build with it.

Daryna Kulya

32,599 просмотров • 4 месяцев назад

Anthropic co-founder Ben Mann has the clearest definition of AGI I've heard, which he calls The Economic Turing Test: "If you contract an agent for 1-3 months on a particular job and it turns out to be a machine rather than a person, then it's passed the Economic Turing Test for that role. And if the agent can pass that test for 50% of money-weighted jobs, then we have transformative AI. If we pass that threshold, then we would expect massive effects on world GDP increases, and societal change, and the number of people that are employed once these things are possible. That's the start of a new era."

Anthropic co-founder Ben Mann has the clearest definition of AGI I've heard, which he calls The Economic Turing Test: "If you contract an agent for 1-3 months on a particular job and it turns out to be a machine rather than a person, then it's passed the Economic Turing Test for that role. And if the agent can pass that test for 50% of money-weighted jobs, then we have transformative AI. If we pass that threshold, then we would expect massive effects on world GDP increases, and societal change, and the number of people that are employed once these things are possible. That's the start of a new era."

Lenny Rachitsky

56,704 просмотров • 1 год назад

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,062,907 просмотров • 5 месяцев назад

ANTHROPIC SPENT $2.3M ON A LOOP MANUAL WITH 7 PRINCIPLES THAT TURN AN AGENT INTO A MULTI-TASK ASSISTANT 4 years of development and 1000+ hours of lectures - now anyone can launch an agent that earns instead of falls Simplicity → Tool Design → Evaluation → Disclosure → Orchestration → Stop Conditions start with the simplest solution - one call x1, workflow x4, agent x15 - most tasks never needed an agent at all 60% of failures come from a tool written vaguely - clear parameters complete the task that vague ones stop the agent generates, grades itself and returns with notes if wrong - without this the first answer is always the final one 50 tools in context and the agent gets confused - give it 3 relevant ones and it completes the task Opus 5 plans, Fable 5 executes in parallel - parallelism wins only when subtasks do not depend on each other without a turn limit the agent can burn $10,000 overnight and you find out in the morning when nothing can be changed bookmark & paste into Claude Code today - tomorrow the agent earns instead of falls

ANTHROPIC SPENT $2.3M ON A LOOP MANUAL WITH 7 PRINCIPLES THAT TURN AN AGENT INTO A MULTI-TASK ASSISTANT 4 years of development and 1000+ hours of lectures - now anyone can launch an agent that earns instead of falls Simplicity → Tool Design → Evaluation → Disclosure → Orchestration → Stop Conditions start with the simplest solution - one call x1, workflow x4, agent x15 - most tasks never needed an agent at all 60% of failures come from a tool written vaguely - clear parameters complete the task that vague ones stop the agent generates, grades itself and returns with notes if wrong - without this the first answer is always the final one 50 tools in context and the agent gets confused - give it 3 relevant ones and it completes the task Opus 5 plans, Fable 5 executes in parallel - parallelism wins only when subtasks do not depend on each other without a turn limit the agent can burn $10,000 overnight and you find out in the morning when nothing can be changed bookmark & paste into Claude Code today - tomorrow the agent earns instead of falls

Sprytix

27,543 просмотров • 1 месяц назад

SPEC IS BECOMING THE PRODUCT An Anthropic engineer gave Claude a spec, pointed it to an Asana board and left for the weekend. Claude broke it into tickets and spun up a team of agents. The agents started picking up tasks on their own. No one told them to. They just did.

SPEC IS BECOMING THE PRODUCT An Anthropic engineer gave Claude a spec, pointed it to an Asana board and left for the weekend. Claude broke it into tickets and spun up a team of agents. The agents started picking up tasks on their own. No one told them to. They just did.

Shubham Saboo

285,667 просмотров • 6 месяцев назад