DeepWiki has indexed over 500,000 repos. It's an easy way to get started when working with unfamiliar libraries, and free to use.
In this meetup with @LangChain and @jacobtpl, we'll share how it works under the hood.
We’re hosting a meetup with @cognition on Tuesday.
Come learn about LLM Wikis and how to give your agents open memory with OpenWiki.
RSVP while spaces last: luma.com/mylwoabu
excited to share about how we built DeepWiki at @cognition, and chat with @BraceSproul about the future of agent context and memory!
rsvp here: luma.com/mylwoabu
We’re hosting a meetup with @cognition on Tuesday.
Come learn about LLM Wikis and how to give your agents open memory with OpenWiki.
RSVP while spaces last: luma.com/mylwoabu
Introducing @Sable. We're building Aidan — an AI employee that can see your screen, speak naturally, and operate any interface in real time to run the sales conversations that drive revenue.
It's been a blast working together with @Nim_Ravid1@chensterman and @itaprf towards this vision. We've brought together an insanely talent-dense team of engineers and researchers and are growing fast to meet customer demand. Companies like @Notion and @Decagon already rely on Aidan to run customer conversations at scale.
We've raised $45M led by @Sequoia and @8VC, with the support of BoxGroup, Sabrina Hahn, SVA, and Valor. Grateful for all of them. We're just getting started, and we're hiring across engineering and research. Get in touch!
Introducing Aidan, your newest AI employee
Aidan is the first computer-using AI built for realtime conversation
We’ve raised $45M from @sequoia and @8vc to bring Aidan to the world
@NotionHQ and @DecagonAI already use Aidan to run customer interactions. This is how
Introducing SWE-1.7, the most capable model we’ve trained yet.
It scores within a few points of the strongest frontier models at a fraction of the cost, and is now available at 1000 tok/s.
RL is not hitting its limit: after refining our recipe, we keep seeing gains as we scale
Conventional model routing sucks. It passes benchmarks but fails to write code you'd actually merge.
Introducing Devin Fusion, a new hybrid-model harness for agentic coding.
In testing, it reduces the cost of Fable-level intelligence by 35% and still feels good to use.
Reinforcement learning has exploded on Modal, and we've been cooking.
Here's a review of lessons learned helping teams train at scale, the patterns we kept seeing, and an open-source library to get started with RL on Modal quickly.
seeing all the old house photos really brings me back. lots of fun memories and late night gym sessions... wish I took more pictures but all I have is us trying to recreate the cognition logo with dumbbells
Scott Wu is the co-founder of Cognition AI, one of the fastest-growing companies in history. He’s also the greatest competitive programmer the US has ever produced. You may have seen him doing impossible card tricks and mental math.
You’ve never seen him asked about weed,
@xinwei_97@cognition Hey @xinwei_97 I just refreshed your repo's DeepWiki! For more frequent and on-demand indexing, as well as access to more powerful Ask, we would love for you to try out Devin. Happy to help get you set up with some free credits, just DM me.
Devin Review caught the axios supply chain attack for multiple Cognition customers before the attack was publicly known.
These attacks will be 10x more frequent in the age of AI; it is critical that repo maintainers start using AI for defense as well.
(showing one example below where Devin Review caught the attack within an hour of its release - text minorly edited for anonymization)
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.
I still remember 15 months ago when Scott first gave me a demo of Devin. It felt like the future then. It's been a wild ride seeing this vision come to fruition, and there's still so much more to build!
Introducing Devin 2.2 – the autonomous agent that can test with computer use, self-verify, and auto-fix its work. Try it for free!
We’ve also overhauled Devin from the ground up:
- 3x faster startup
- fully redesigned interface
- computer use + virtual desktop
...and hundreds
Devin now has full computer use capabilities and can share screen recordings.
You can control desktop apps, build and QA mobile apps, and automate tedious work.
Here are some examples that blew our team away:
1. Making a desktop game
The best way to make coding agents interactive is to just make them run faster than you can think.
We're already hitting internal PMF with SWE-1.5, and this is only the beginning!
Today we’re releasing SWE-1.5, our fast agent model.
It achieves near-SOTA coding performance while setting a new standard for speed. Now available in @windsurf.
1K Followers 738 FollowingResearcher @cognition, previously RL at Amazon AGI, @carnegiemellon, scholar @neo. i run through walls and make things happen