Piyush Puri

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.

Beau Rothrock had been at @AngelList for two months when he walked into a Redshift-to-Snowflake migration in deep trouble, already two months behind schedule. He had a 5-week window to migrate all 14,000 dashboards and reports AngelList runs on. He could've asked for three more engineers and four more months. Instead, he turned to Devin.

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.

Nice of justin to share his engineering output growth since using Devin

we've been using devin on agents/sandbox repo and it's been really good at figuring out real edge cases that I've otherwise missed in my own reviews (llm assisted or otherwise). thinking back to when it launched and everyone dumped on them really badly. congrats on the 180.

Seeing lots of questions like: wait, I thought Windsurf was already acquired? What is Cognition buying? Let me explain. Windsurf the company is an *extraordinary* asset. It was missing its founders and research team, but it has a beloved product, valuable IP, an incredible business ($82M ARR with enterprise growth doubling quarter-over-quarter), known brand, and most importantly: a world-class team in every function—GTM, enterprise engineering, and much more. With today’s news, we’re adding all that firepower to Cognition to deliver the most complete AI coding solution in the market. And we’re doing so in a way that treats the team with the value and respect that they deserve. And here’s what’s also ours: - all improvements we build on top of Windsurf’s IP from here - all Windsurf training data - all Windsurf trademark and brand assets The meme over the weekend was “Is Windsurf now an empty shell?” The opposite is true, and we’re going to be even stronger together. Today is a huge win for Windsurf and Devin customers everywhere.

Cognition has signed a definitive agreement to acquire Windsurf. The acquisition includes Windsurf’s IP, product, trademark and brand, and strong business. Above all, it includes Windsurf’s world-class people, whom we’re privileged to welcome to our team. We are also honoring their talent and hard work in building Windsurf into the great business it is today. This transaction is structured so that 100% of Windsurf employees will participate financially. They will also have all vesting cliffs waived and will receive fully accelerated vesting for their work to date. At Cognition we have focused on developing robust and secure autonomous agents, while Windsurf has pioneered the agentic IDE. Devin + Windsurf are a powerful combination for the developers we serve. Working side by side, we’ll soon enable you to plan tasks in an IDE powered by Devin’s codebase understanding, delegate chunks of work to multiple Devins in parallel, complete the highest-leverage parts yourself with the help of autocomplete, and stitch it all back together in the same IDE. Cognition and Windsurf are united behind a shared vision for the future of software engineering, and there’s never been a better time to build. Welcome to our new colleagues from Windsurf!

It's been great working with the teams at Goldman Sachs. Proud of Devin for landing one of the hardest jobs on Wall Street :)

Devin's always asking for raises, but maybe it's finally time to give him one 🤔 Since November, Devin has merged 1,583 PRs for @gumroad (yep, we counted) We got the team to share their secret recipe for using Devin 🧵

New episode with Scott Wu (@ScottWu46), CEO and co-founder of @Cognition_Labs, the company behind @DevinAI Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: youtube.com/watch?v=gI0ZNh… • Spotify: open.spotify.com/episode/5Rzl3T… • Apple: podcasts.apple.com/us/podcast/ins… Thank you to our wonderful sponsors for supporting the podcast: 🏆 @enterpret_ai — Transform customer feedback into product growth: enterpret.com/lenny 🏆 @useparagon — Ship every SaaS integration your customers want: useparagon.com/lenny 🏆 @attio — The powerful, flexible CRM for fast-growing startups: attio.com/lenny?utm_sour…

We hired an engineer who never sleeps and saves our team 10,000+ hours on tedious tasks every month. It's an AI named Devin — made by our friends at @cognition_labs. Now we can't imagine building Ramp without it. Learn about all the ways Devin blows minds and saves time! 👇

Introducing Devin 2.0: a new agent-native IDE experience. Generally available today starting at $20. 🧵👇

Interface > Data > Models While media still focuses on the “next best model” rat race, increasingly believe that the “interface” and “data” layers will further distinguish market leaders while the “models” layer becomes increasingly commoditized and pushed to the edge (becoming increasingly obvious as mobile chips get better and OSes get their act together) As a growing number of our everyday use-cases of powerful GenerativeAI models fall below the frontier of “the best models,” they will be enabled by cheaper commoditized models. And we’ll be running many models locally on device within a few years. The distinguishing factors for companies to succeed using AI will be the radical refactoring of workflows via interface innovations and the data itself - enabling companies and people to uniquely leverage their own data in powerful ways. Data stewards and Designers FTW! :-)

@random_walker Couldn't agree more @random_walker! That approach of using LLMs to create training data for specialized (and often dramatically smaller/cheaper) models is something we've seen work really well in Snorkel Flow. e.g. snorkel.ai/better-not-big…

Proud of my friend, ⁦@itsGlenWise⁩ for launching Cinder. I had a chance to meet the talented team last week, excited to see all that they accomplish! 🚀 techcrunch.com/2022/12/08/cin…

1/ Foundation models (FMs) like GPT-3 are amazing at generative, human-in-the-loop tasks. But *adapting* and *deploying* them for real enterprise use cases is still a major challenge. Today, we're excited to share @SnorkelAI's new data-centric approach to bridging this gap.

Snorkel AI and @SnowflakeDB have partnered to bring data-centric AI to Snowflake's Data Cloud. Snorkel Flow users can now pull unstructured data in Snowflake into Snorkel Flow with just a few clicks. 🐙❄️⚡️

How do we (@SnorkelAI) think about AI/ML system building? A few design principles... 🧵 snorkel.ai/iterative-ai-a…