AI Engineer Devin at Work Every engineering team has tasks that keep getting pushed down the backlog—those annoying frontend bugs, tricky refactors, or features that are important but not urgent. That’s where Devin, an AI-powered software engineer, comes in. Devin isn’t here to replace developers. It’s built to handle the tasks nobody has time for, keeping your team focused on the high-impact work only humans can do. Here’s how Devin helps: • Fixing Forgotten Bugs: Tag Devin in Slack when a small bug slips through the cracks. It tracks down the problem and submits a pull request—all without interrupting your flow. • Drafting Overdue Features: Got a backlog item that’s been gathering dust? Assign it to Devin, and it’ll create an initial pull request so you can refine, not start from scratch. • Cleaning Up Code: Use the VSCode extension to ask Devin for code refactors when things get messy. It handles the repetitive cleanup so your team can focus on tougher problems. Devin learns through your feedback, improving with every task. The more specific you are about what you need, the better its code gets. It’s already helped real teams by fixing bugs and adding features to: • Google’s Go GitHub Client – Improved how HTTP errors are handled. • Anthropic’s MCP Project – Solved browser bugs in cutting-edge AI tools. • Karpathy’s nanoGPT & Llama Index – Improved AI research projects through new features and bug fixes. Devin isn’t a silver bullet—but it’s a real tool that tackles the jobs no one had time to do before. Think of it as a helpful, tireless teammate that frees your engineers to focus on what matters most. #Devin #AI #Engineering #Engineer #Tech #Career #Job #Jobs #TechTrends #Startup #Coding #Code #Dev #CareerAdvice #Mentor #Mentorship #MentorTikTok #CareerTok #JobAdvice #JobTips #Hack #Hacks #Tips #ProductManager #ProductManagement #Business #OpenAI #Microsoft #Google #Gemini #Anthropic #Claude #Llama #Meta #Nvidia #2024 #Future #Story #Sales #Marketing #Agent #Workflow #Smart #Thinking #Strategy #Cool #Real #TechTok #OpenAIDevDay #AIUpdates #VoiceAI #DeveloperLife #Cursor #Replit #Pythagora #Bolt

Devon's finally here. No, it's not a frat boy coming to a party. Devon is an AI junior developer. And the first time we heard about Devon was in March of this year when a viral video went wild that sort of showed the capabilities of what an independent AI agent could do. It was one of our first demonstrations of AI agent task motivation, task completion, and everyone was completely blown away. And then Devon didn't show up to the party. There was nothing out of that company until now, like December. So for nine months, they sat there in a closed beta. I was wondering if they were ever going to come out of beta at all. The people who were using Devon in a closed beta had good reviews, but no one else could get to it. They're out now. And they're out for $500 per month. I think they were inspired by ChatGPT Pro pricing. I don't know about you. $500 a month. And you don't get 24-7 access to Devon for $500 a month. You get precisely 62 and a half hours, I did the math, of Devon. So you get a week and change of Devon's productivity over the course of a month. And companies are saying it's worth it. And the reason they're saying it's worth it is because Devon is doing a different kind of labor than a traditional junior engineer. So I want to be very precise about this. When you work with junior engineers, you typically are concerned with their skill progression, and you're concerned with their career development. And so you assign them to a domain very carefully under the leadership of a senior engineer so that they can grow in their skills and ultimately become an admired, respected, leading member of the team who's capable of driving projects autonomously. Devon doesn't have career objectives. Devon is happy to take the grunt work. And so, in fact, what leading companies are doing is they are assigning Devon to do the work nobody was doing before. It's not really replacement value. It's work no one was doing. So every company I know of has severity threes or fours or fives that are bugs, that are things that need to be worked on, that are little pieces of tech debt that nobody's doing. That's what Devon excels at. Just give it to Devon. Let Devon tackle it. It's getting done. It wasn't getting done before. Another good use case that I've seen, I know Claire Vo is champion of this. She's worked on chat PRD. She's used Devon for that. If you are a solopreneur, Devon is a cheap way to buy yourself more time. And that's what she does. For 99% of us, Devon is going to be too expensive to be worth it. For businesses that have those kinds of use cases where they have something that is appropriate for a junior developer from a complexity perspective, they just need it done, it's going to be really helpful to have Devon as a partner on the team. I actually don't think it's likely that having Devon at this volume is going to lead to a significant change in the labor market. There's just not enough Devon to go around. And the Devon capabilities that we have is just not strong enough to really present a genuine threat to engineering as a discipline. Now, that can change. I'm sure there will be stories. But by and large, I think what's interesting about this is it actually presents one of the first opportunities that we're going to see for AI to be a partner on a team with humans. So humans will delegate tasks to Devon the way they would delegate tasks to a human. And I think that's going to be one of our first tests of human AI dynamics in the workplace. And I am really curious to see how that goes. So there you go. Devon is finally out. I've been watching this for nine months. If you have tried it, put your comments below. If you would try it, put your comments below. And if you would like to see a version of Devon that's more affordable, or if you wildly disagree with this whole premise of AI agents, curious to see what you think. All right, cheers. Devon is out.