Built a modular Prompt Assembler in n8n for Veo 3

Today, we're introducing the Nova Act extension—a tool that transforms how developers can build AI agents with Nova Act by bringing the entire agent development experience directly into IDEs like Visual Studio Code, Kiro, and Cursor. No more context switching between coding and testing—now you can generate scripts through chat, test cell-by-cell, and debug with live thinking and action logs all in one place. What used to take days now happens in minutes, helping developers build agents that achieve high reliability on enterprise workflows. As one partner at Hertz shared: "The live debugging alone cut our development time by 50%." Learn more: https://amzn.to/3KAM6nP

Amazon just launched the Nova Act extension, bringing AI agent development directly into your favorite IDE! The extension transforms how we build automation workflows by eliminating context-switching between tools. For QA teams, this can be game-changing - build UI test automation faster than Selenium (it uses Playwright under the hood), debug visually in real-time, and iterate cell-by-cell without rerunning entire scripts. I'm excited to try this for complex UI testing scenarios. The live debugging alone reportedly cuts development time by 50%. Check it out at nova.amazon.com/act and share your experience! #AIAgents #QAAutomation #NovaAct Joe Colantonio Lamhot Siagian Karthik K.K Sidharth Shukla Naveen Khunteta

This is an awesome way forward to ease UI testing using natural language. Seeing it integrated in VS Code is the next consequent to integrate it in the product lifecycle

"Exciting launch from Amazon AGI Labs! 🚀 The Nova Act extension brings AI agent development directly into popular IDEs like VS Code, making development workflows more efficient.

Today's release of the Nova Act extension is a game-changer for AI agent development, and it sparks a crucial thought about how we at Amazon approach innovation. The ability to generate, test, and debug scripts directly within a single IDE is a massive leap forward, cutting development time by as much as 50%. I believe #Amazon's Data Analysts and Data Engineers should be given similar permissions to utilize powerful tools like Nova Act. A policy that limits access based on job level is an outdated concept that can become an obstacle to our core leadership principles. Providing wider access to AI agents would empower us to: #Invent and Simplify: Automate complex inventory-related analyses and root cause findings that currently consume significant manual effort. #Think Big: Move beyond reactive reporting to proactively identifying and solving systemic issues across the supply chain. #Dive Deep: Enable more granular, real-time analysis of inventory health, allowing us to find insights faster and with greater accuracy. #Deliver Results: Drastically reduce the time it takes to develop and deploy solutions, leading to more efficient operations and higher customer satisfaction. This is a powerful opportunity to align our internal policies with our a commitment to innovation, and I'm excited to see how we can apply these principles to our work

As a long-time product engineer, I'm always looking for ways to marry new innovation with existing infrastructure. The Nova Act extension is exactly that. The combination of an LLM that can reliably operate a web browser, and an IDE experience that cuts development time in half (thanks to features like live debugging!), is a massive accelerator. This capability opens up a world of possibilities, from rapidly automating repetitive enterprise workflows to efficiently testing web applications and extracting crucial data—all while leveraging existing code and the deep knowledge already in place. I see huge potential in this entire space. Proud to have been featured in the launch! https://lnkd.in/gwjkqkq8

In this short video, I explain how to set up a Mapping Context and Input Actions in Unreal Engine 5 directly through the Editor. 👉 Creating and configuring a Mapping Context 👉 Adding Input Actions (keyboard & mouse) 👉 Linking them to a Data Asset for clean input management This workflow helps keep projects more organized and is a great foundation before moving to advanced C++ setups.

Reflecting on a challenging AI project, it's clear that the development environment can significantly impact the overall experience. While the AI capabilities themselves were interesting, the technical hurdles encountered on Windows, especially with VS Code or Visual Studio 2022, proved frustrating. The speaker suggests that developers might find a smoother experience with JetBrains IDEs, enhanced by plugins like Windsurf, which provide access to various LLMs. It could be a better path for a more efficient workflow. #IDE #Development #AI #JetBrains #VisualStudio #CLion

I haven’t even coded the first feature yet… but I’m already thinking about the next one 🦀 🎯 Goal Make my Rust token analyzer platform-agnostic: analyze tokens from PumpFun, Raydium, LetsBonk etc. → with one consistent report. 💡 How I plan to build it Introduce a PlatformDecoder trait: • each platform = its own struct, • a registry routes logs & instructions dynamically. ✅ Why it matters • Add new platforms without touching the core, • Test each decoder in isolation, • Keep the engine clean & focused on analysis. Rust traits make this design feel natural — explicit contracts, modular code, easy to extend. 👉 Do you think ahead about future features before coding the first one? #RustLang #Solana #Builder #Programming #SoftwareDesign

🚀 Excited to see Visual Studio 2026 go live! With .NET 10, C# 14, and AI-first productivity built into the IDE, this release delivers real impact: ⚡ Faster performance for enterprise-scale solutions 🤖 AI-assisted coding, debugging, and profiling 🔧 Seamless path for modern development A strong step forward for teams building the future. #VisualStudio2026 #DotNet10 #CSharp14 #AI #Productivity