We are in the middle of the agentic coding era, please take advantage of it. Coding agents are changing what it means to be a software engineer. Typing code on a screen used to be a big part of the job. But now AI agents can handle more of that work. The pattern of technological change is familiar: Mechanical part of work gets automated & human role moves up a layer. For software engineers, I think it means 3 things: 1 You need to know what good looks like. An agent can create a feature, fix a bug, and/or refactor code. But if you don’t know what good implementation looks like, you cannot tell whether the work should ship. The faster agents write code, the more your judgment matters. === 2 You need to learn how to manage multiple agents. One developer can already give different tasks to different coding agents. That changes the job. You become responsible for: - giving context to agents, - directing their work, - checking results. === 3 You need a way to control this across the company. Imagine all engineers in your company working this way... You need to know: - which “agents” people use, - what they’re doing, - what they cost, - what happens when something goes wrong. === This is why I’m genuinely excited about JetBrains Air. It gives you an environment for directing multiple coding agents & reviewing their work. So you can delegate more coding work without losing visibility/control. Plus... >JetBrains Air Teams lets you coordinate software delivery workflows across engineers & agents. So engineering teams can manage agentic work across the development process. >JetBrains Air Governance gives organizations policies, visibility, auditability & cost management. So they can control how agents get used & maintain accountability for what ships. And this works in a world where engineers use different agents & models. i.e., you don't have to bet everything on one provider. === The bottom line: Software engineers won’t become less important because agents can write more code. Their role moves up a layer. You delegate the work. You still own the result.

SOFTWARE ENGINEERS ONLY What's one trick to get good at vibe coding?

We are in the middle of the agentic coding era, please take advantage of it. Coding agents are changing what it means to be a software engineer. Typing code on a screen used to be a big part of the job. But now AI agents can handle more of that work. The pattern of technological change is familiar: Mechanical part of work gets automated & human role moves up a layer. For software engineers, I think it means 3 things: 1 You need to know what good looks like. An agent can create a feature, fix a bug, and/or refactor code. But if you don’t know what good implementation looks like, you cannot tell whether the work should ship. The faster agents write code, the more your judgment matters. === 2 You need to learn how to manage multiple agents. One developer can already give different tasks to different coding agents. That changes the job. You become responsible for: - giving context to agents, - directing their work, - checking results. === 3 You need a way to control this across the company. Imagine all engineers in your company working this way... You need to know: - which “agents” people use, - what they’re doing, - what they cost, - what happens when something goes wrong. === This is why I’m genuinely excited about JetBrains Air. It gives you an environment for directing multiple coding agents & reviewing their work. So you can delegate more coding work without losing visibility/control. Plus... >JetBrains Air Teams lets you coordinate software delivery workflows across engineers & agents. So engineering teams can manage agentic work across the development process. >JetBrains Air Governance gives organizations policies, visibility, auditability & cost management. So they can control how agents get used & maintain accountability for what ships. And this works in a world where engineers use different agents & models. i.e., you don't have to bet everything on one provider. === The bottom line: Software engineers won’t become less important because agents can write more code. Their role moves up a layer. You delegate the work. You still own the result.

If you're a founder, learn this before you start scaling fast: Every new employee can create new payroll, tax, benefits, compliance, and IT workflows. If you’re still running those workflows manually, they become harder to keep up with every time you hire. Warp uses AI agents to manage HR automatically.

Build for scale when nobody’s scaling. Plan for failure when nothing’s failing. Add redundancy when nothing’s breaking. That is system design for you.

Dreamina AI updated its web experience and canvas, and it’s live now. @Dreamina_ai #DreaminaCaughtTheVibe The update brings high quality AI video workflows and skills for film, brand ads, viral social content, and more, making it easier to explore ideas and keep the creative process moving in one place. Get 90% OFF your first month of Dreamina Basic until October 9th. Try it on your next creative idea.