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Scott Wu
219 posts
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)
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AW is goated :) such a pleasure to work with @rick_gerson and the whole team!
Abhinav Kukreja@kukreja_abhinav
maybe the most insane (appreciative) barbell portfolio of all time. respect.
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new podcast with @JTLonsdale! a real shame the part of us playing Ricochet Robots got cut - guess we'll never know who won
American Optimist@AmOptimistShow
EPISODE 147: The New Era of Software Abundance @JTLonsdale visits @ScottWu46 & @russelljkaplan at @cognition HQ 00:00 Episode intro 01:35 Why technical talent & execution matters in AI 06:10 Do young people have an edge in the AI era? 08:26 Cognition's rapid growth 11:55 The new era of software abundance 14:30 Cognition engineers don't type code anymore 19:20 "Never sleep while Devin is idling" 21:25 The case for AI disinflation 23:50 How Devin generates 12X productivity gains 28:25 Cognition for government / taking on complex, broken systems 36:40 The AI race / competition with Anthropic 39:00 Forward deployed engineers? 43:40 How fast are LLMs improving? 47:10 The AI-led small business explosion
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Scott Wu retweetledi
Reupping the @devinai explainer now that everyone is suddenly loving kloud koding because @ryancarson said so
(btw devin usage has grown >50% MoM every month this year, it has shocked even scott)
swyx@swyx
@cognition new post on joining Cognition at it's $10b Series C: The Devin is in the Details swyx.io/cognition
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The @cognition team called their shot over two years ago before the market even had the terms for “tool-calling” and “harnesses”, and way before “sandboxes” and “dev workspaces” became the hot craze
The market finally caught up to their vision: fully async background agents
Ryan Carson@ryancarson
Paid $500 for @DevinAI - liking it so far. You can tell this team is much further than other agent labs when it comes to being truly remote-first. Very mature, advanced tooling and it just works across all surfaces (iPhone, Slack, Browser, GitHub, Linear). I was tired of trying to hand-connect everything with a custom setup of Open Inspect + Codex + Linear. When you look at your hourly effective rate, it stops making sense trying to hand-build all this stuff. Nvm the all the maintenance hours you need to put in. I'll keep using Devin 100% for the next week and report back. So far, my PR shipping velocity is higher than before - so that's good obv.
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Lot has changed in the last few months. Try out Devin if you haven't already - it's free to get started!
Ryan Carson@ryancarson
Paid $500 for @DevinAI - liking it so far. You can tell this team is much further than other agent labs when it comes to being truly remote-first. Very mature, advanced tooling and it just works across all surfaces (iPhone, Slack, Browser, GitHub, Linear). I was tired of trying to hand-connect everything with a custom setup of Open Inspect + Codex + Linear. When you look at your hourly effective rate, it stops making sense trying to hand-build all this stuff. Nvm the all the maintenance hours you need to put in. I'll keep using Devin 100% for the next week and report back. So far, my PR shipping velocity is higher than before - so that's good obv.
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@ryancarson @DevinAI What has been most interesting about it is they abstract model selection away so you're focusing on the tasks first
But what I don't like is they reinvented all of the conventions for docs. It's extremely confusing. Did you run into that yet?
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Paid $500 for @DevinAI - liking it so far.
You can tell this team is much further than other agent labs when it comes to being truly remote-first.
Very mature, advanced tooling and it just works across all surfaces (iPhone, Slack, Browser, GitHub, Linear).
I was tired of trying to hand-connect everything with a custom setup of Open Inspect + Codex + Linear.
When you look at your hourly effective rate, it stops making sense trying to hand-build all this stuff.
Nvm the all the maintenance hours you need to put in.
I'll keep using Devin 100% for the next week and report back.
So far, my PR shipping velocity is higher than before - so that's good obv.
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@ryancarson @DevinAI Great to hear! What can we do to make it even better?
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Scott Wu retweetledi
If your kid’s lemonade stand processes 0.5–1% of US GDP, then yes, that’s a fair analogy for @tryramp.
Ramp’s data is useful for the same reason it gets cited at all: it is quite consistent with the revenue figures OpenAI and Anthropic release. If it weren’t, no one would care.
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Scott Wu retweetledi
can’t trust merging code without a Devin review anymore.
Claude and Codex are great, but they don’t catch bugs the way Devin does.
devin code review is OG. @cognition has built something special.
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This week 70% of all Devins were started by humans (webapp, slack, linear) and 30% were started automatically (API, and now scheduled + managed Devins)
In a few months that probably flips to 30/70 the other way and within a year it'll be 10/90. What does it look like to run a truly agent-native dev team?
-Handing whole project specs to a top-level agent that manages its subagents to do the groundwork
-Agents that kick off automatically on Sentry/Datadog alerts and as first-line incident-response
-Agents continuously running integration test / QA workflows and auto-investigating UX changes or performance issues
And of course, all of the "eng scaffolding" needed to make this possible - comprehensive unit testing, good documentation, and a reproducible dev environment.
Cognition@cognition
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.
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Scott Wu retweetledi
Today we're announcing a new round of funding that values @eightsleep at $1.5 billion, led by @tether Investments.
Ten years ago I started Eight Sleep with one conviction: the night is the most underutilized lever in human health. Almost nobody was engineering their sleep.
Last year, we hit free cash flow positivity, launched 3 new products, expanded to 34 countries, and published peer-reviewed studies showing the Pod reduces menopausal hot flashes by 56% and restores the body's natural circadian temperature rhythm during sleep, lowering core body temperature and improving cardiovascular recovery. A product you sleep on is producing clinical outcomes that rival pharmaceutical interventions.
We're now building a predictive AI agent trained on 1B+ hours of sleep data. It anticipates your night before it happens.
And we're advancing FDA filings for sleep apnea detection. Passive. Every night. No wires, no clinic visits.
The night is just the beginning.
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@ivibecode @cognition great to hear! what we can do to make it even better?
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I don't know what @cognition been cooking but the Devin review and chat are GOATED.
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Impressive numbers, and a thoughtful model announcement
Cognition@cognition
We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model still exhibits some undesirable behaviors like overthinking and excessive self-verification, which we aim to improve. We are rolling out early access to a small subset of users in Windsurf.
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Early days but a big milestone for us! This model is still in preview and we expect to tune behavior a lot over the coming weeks - but wanted to get folks a snapshot as soon as we could.
Cognition@cognition
We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model still exhibits some undesirable behaviors like overthinking and excessive self-verification, which we aim to improve. We are rolling out early access to a small subset of users in Windsurf.
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today, we're introducing self diagnostics: the first ever way for agents to proactively self-report issues they encounter.
welcome to the future of agent observability.
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The thing I respect most about @cognition is that they called their shot on how agents should work years ago (background, async). I think they’re the first
It feels like forever ago, but this was before “harnesses” or “vibe coding” was ever a term (and before tool-calling!!)
Scott Wu@ScottWu46
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