Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Devin can manage a team of Devins. Managed Devins run in parallel help break down complex tasks. Each managed session is a full Devin, with its own VM, terminal, browser, and testing infrastructure. The main session coordinates, monitors, and compiles results.

cognition's profile picture

Cognition

160,696 subscribers

31,502 Aufrufe • vor 2 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Devin can now manage a team of Devins. Devin will break down large tasks and delegate them to parallel Devins that each run in their own VM. Over time, Devin gets better at breaking down and managing tasks for your codebase. Available now for all users.
1:29

Devin can now manage a team of Devins. Devin will break down large tasks and delegate them to parallel Devins that each run in their own VM. Over time, Devin gets better at breaking down and managing tasks for your codebase. Available now for all users.

Cognition

109,423 Aufrufe • vor 3 Monaten

Devin is getting a Windows PC. Devin can now natively run in a Windows VM, so it can build, run, and test native Windows applications.
0:50

Devin is getting a Windows PC. Devin can now natively run in a Windows VM, so it can build, run, and test native Windows applications.

Cognition

153,325 Aufrufe • vor 1 Monat

Learn Devin in 5 minutes Cloud agent. Terminal agent. Linear assignee. Slack teammate. On schedule. Devin is everywhere your engineering team already lives. 00:00 - Introduction 00:19 - Sending sessions to Slack 00:24 - Creating your first session 00:51 - Devin Review 01:20 - Computer Use testing 01:46 - Desktop and IDE in Devin 02:33 - Scheduled Devins 03:01 - Devin for Terminal 03:40 - Terminal to cloud handoff 04:09 - DeepWiki 04:21 - Assigning Devins from Linear If you got this far, I'm giving away $1,000 in Devin credits, $200 to 5 people for a free month of Devin Max. Comment what you'd like to build and retweet this post to be eligible to win!
4:49

Learn Devin in 5 minutes Cloud agent. Terminal agent. Linear assignee. Slack teammate. On schedule. Devin is everywhere your engineering team already lives. 00:00 - Introduction 00:19 - Sending sessions to Slack 00:24 - Creating your first session 00:51 - Devin Review 01:20 - Computer Use testing 01:46 - Desktop and IDE in Devin 02:33 - Scheduled Devins 03:01 - Devin for Terminal 03:40 - Terminal to cloud handoff 04:09 - DeepWiki 04:21 - Assigning Devins from Linear If you got this far, I'm giving away $1,000 in Devin credits, $200 to 5 people for a free month of Devin Max. Comment what you'd like to build and retweet this post to be eligible to win!

nader dabit

34,719 Aufrufe • vor 1 Monat

Since I joined Cognition I've been obsessed with learning how our eng team uses Devin themselves If we are building the best coding agent + we have the most cracked engineers + we've been fully AI-pilled from day one... it stands to reason that there is a lot to learn by just watching our technical staff work And yes there are a lot of tips & tricks. I recorded a video talking about my favorite... Agent Fan Out - asking your agent to break down the problem, spin up 10 more agents in parallel, and combine their results This is something I've seen everyone do - from our model research team spinning up 100 Devins to examine eval logs - or our product team using 5 child Devins to try out 5 different alternative implementations of the same thing If engineering is cheap and easy, why not build the product 10 times and choose the best one? Think of it in a master/slave context: Master Devin -> 10 Slave Devins -> Master Devin pulls their results There are two reasons this is useful 1. Agents are smartest when their context is small and their task is small & precise. Context windows are finite and too much becomes distracting 2. Agents are good at helping you break a large problem into independent & parallelizable chunks of work Every Devin is its own VM/computer so this also is just a great way to move faster. I've done a migration from React Native to Swift by having Devin break it up into 6 pieces then spin up new Devins to work in parallel In the video I build a greenfield project and try my best to show off this agent fan out concept. I also threw in a few other tricks that I've seen my coworkers do: - Let Devin write its own prompts (especially for creating child Devins). It's way better than us humans - Do tons of things at once. You should be absolutely frying your attention span. Your job should just be babysitting 38 different Devins - Don't be a blocker. Before letting the agent work I make sure to tell it to ask me any questions that would fill in ambiguities. Give your agent all the information it needs (and then some more) so that it can just cook without stopping to ask you questions every few minutes - Let Devin test itself. Integration sanity tests are pretty much solved Hope this is useful!!
6:10

Since I joined Cognition I've been obsessed with learning how our eng team uses Devin themselves If we are building the best coding agent + we have the most cracked engineers + we've been fully AI-pilled from day one... it stands to reason that there is a lot to learn by just watching our technical staff work And yes there are a lot of tips & tricks. I recorded a video talking about my favorite... Agent Fan Out - asking your agent to break down the problem, spin up 10 more agents in parallel, and combine their results This is something I've seen everyone do - from our model research team spinning up 100 Devins to examine eval logs - or our product team using 5 child Devins to try out 5 different alternative implementations of the same thing If engineering is cheap and easy, why not build the product 10 times and choose the best one? Think of it in a master/slave context: Master Devin -> 10 Slave Devins -> Master Devin pulls their results There are two reasons this is useful 1. Agents are smartest when their context is small and their task is small & precise. Context windows are finite and too much becomes distracting 2. Agents are good at helping you break a large problem into independent & parallelizable chunks of work Every Devin is its own VM/computer so this also is just a great way to move faster. I've done a migration from React Native to Swift by having Devin break it up into 6 pieces then spin up new Devins to work in parallel In the video I build a greenfield project and try my best to show off this agent fan out concept. I also threw in a few other tricks that I've seen my coworkers do: - Let Devin write its own prompts (especially for creating child Devins). It's way better than us humans - Do tons of things at once. You should be absolutely frying your attention span. Your job should just be babysitting 38 different Devins - Don't be a blocker. Before letting the agent work I make sure to tell it to ask me any questions that would fill in ambiguities. Give your agent all the information it needs (and then some more) so that it can just cook without stopping to ask you questions every few minutes - Let Devin test itself. Integration sanity tests are pretty much solved Hope this is useful!!

Jared Zoneraich

113,212 Aufrufe • vor 8 Tagen

Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser. When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted. Check out what Devin can do in the thread below.
1:49

Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser. When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted. Check out what Devin can do in the thread below.

Cognition

31,441,188 Aufrufe • vor 2 Jahren

Security review is now part of every Devin Review. Open a PR and Devin automatically finds the vulnerabilities scanners miss, explains each one, and drafts the fix.
0:38

Security review is now part of every Devin Review. Open a PR and Devin automatically finds the vulnerabilities scanners miss, explains each one, and drafts the fix.

Cognition

120,338 Aufrufe • vor 9 Tagen

3/4 Devin can train and fine tune its own AI models.
1:53

3/4 Devin can train and fine tune its own AI models.

Cognition

685,735 Aufrufe • vor 2 Jahren

We’ve been working closely with the OpenAI team to integrate GPT-5 into Devin. Starting today, you can select a preview version of Devin that uses GPT-5 as part of our agent orchestration. GPT-5 eval results 👇
2:04

We’ve been working closely with the OpenAI team to integrate GPT-5 into Devin. Starting today, you can select a preview version of Devin that uses GPT-5 as part of our agent orchestration. GPT-5 eval results 👇

Cognition

100,251 Aufrufe • vor 10 Monaten

Devin is generally available today! Just tag Devin to fix frontend bugs, create first-draft PRs for backlog tasks, make refactors, and more. Start building with Devin below:
0:40

Devin is generally available today! Just tag Devin to fix frontend bugs, create first-draft PRs for backlog tasks, make refactors, and more. Start building with Devin below:

Cognition

1,895,871 Aufrufe • vor 1 Jahr

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.
0:55

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.

Cognition

389,773 Aufrufe • vor 2 Monaten

We asked Walden (Co-Founder of Cognition) about building a truly AI-native company. “At a minimum, we can’t be hiring people whose whole aspiration is to write code that Devin will do in 1–2 years.” "A lot of companies at our stage, they have like an internal tools team to maintain all the different services that engineers internally use." "And we can just staff that team with Devins, and then basically have engineers just sending requests to those Devins for how to do that work."
2:27

We asked Walden (Co-Founder of Cognition) about building a truly AI-native company. “At a minimum, we can’t be hiring people whose whole aspiration is to write code that Devin will do in 1–2 years.” "A lot of companies at our stage, they have like an internal tools team to maintain all the different services that engineers internally use." "And we can just staff that team with Devins, and then basically have engineers just sending requests to those Devins for how to do that work."

TBPN

15,304 Aufrufe • vor 1 Jahr

karpathy’s been saying it: we’re moving from IDEs to a new kind of dev interface. this is my take: a macOS app for running multiple workstreams per project (and multiple projects at once), each with its own workspace (ghostty terminal, claude session, browser), all in parallel. blazing fast. free and open source, as dev toolboxes should be:
1:48

karpathy’s been saying it: we’re moving from IDEs to a new kind of dev interface. this is my take: a macOS app for running multiple workstreams per project (and multiple projects at once), each with its own workspace (ghostty terminal, claude session, browser), all in parallel. blazing fast. free and open source, as dev toolboxes should be:

David Poblador i Garcia

31,724 Aufrufe • vor 3 Monaten

Cognition CEO Scott Wu says a quarter of Cognition's pull requests come from Devin -- and it'll be more than half by year-end. Each engineer runs up to five Devins at once. “Devin lets engineers go from bricklayer to architect.” The future of software isn't writing code -- it’s directing fleets of agents.
2:27

Cognition CEO Scott Wu says a quarter of Cognition's pull requests come from Devin -- and it'll be more than half by year-end. Each engineer runs up to five Devins at once. “Devin lets engineers go from bricklayer to architect.” The future of software isn't writing code -- it’s directing fleets of agents.

vitrupo

14,898 Aufrufe • vor 1 Jahr

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.
0:35

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.

nader dabit

61,328 Aufrufe • vor 1 Monat

Devin can now schedule itself. Run any task once, like feature flag cleanup, release notes, or QA. Then tell Devin to make it recurring, so that one good session becomes an automated workflow. Available now for all users.
2:12

Devin can now schedule itself. Run any task once, like feature flag cleanup, release notes, or QA. Then tell Devin to make it recurring, so that one good session becomes an automated workflow. Available now for all users.

Cognition

105,300 Aufrufe • vor 3 Monaten

We built a @Linear integration! Now you can run Devin on your entire ticket backlog. Our Devin x Linear workflow 👇
0:21

We built a @Linear integration! Now you can run Devin on your entire ticket backlog. Our Devin x Linear workflow 👇

Cognition

147,912 Aufrufe • vor 1 Jahr

run devin run practice session 😵‍💫
0:50

run devin run practice session 😵‍💫

ta ᡣ𐭩.ᐟ

68,696 Aufrufe • vor 1 Jahr

Devin: web-based agent, designed to feel like hiring a software dev - used to cost $500/mo 😱, but now only $20/mo - autonomously completes tasks end-to-end, then opens PRs - easy to spin up multiple Devins simultaneously - Gumroad says Devin writes 41% of their PRs
0:57

Devin: web-based agent, designed to feel like hiring a software dev - used to cost $500/mo 😱, but now only $20/mo - autonomously completes tasks end-to-end, then opens PRs - easy to spin up multiple Devins simultaneously - Gumroad says Devin writes 41% of their PRs

Indie Hackers

19,644 Aufrufe • vor 1 Jahr

Devin can now build and run Android apps. We added Android Virtual Device (AVD) support for Devin’s machine, which means Devin can now autonomously build, launch, and test Android apps.
0:28

Devin can now build and run Android apps. We added Android Virtual Device (AVD) support for Devin’s machine, which means Devin can now autonomously build, launch, and test Android apps.

Cognition

108,628 Aufrufe • vor 1 Monat

Introducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.
0:49

Introducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.

Cognition

240,625 Aufrufe • vor 1 Monat