This post walks through a hands-on experiment in agentic development using an AI-powered digital twin embedded in the IDE. See how a single, well-structured prompt enabled the agent to implement a real user story, generate behavioral tests, and prepare Git commit documentation—with minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didn’t, and where human oversight is still essential.
In this guide, we’ll show you how to leverage Ollama, a popular tool for local LLM execution, and the Continue VS Code extension to create a powerful coding environment. Follow along, and you’ll be running AI-powered code suggestions in no time!
As access to AI models has become more widely available and more and more people are using these tools on a regular basis, many organizations are interested in providing AI tools to their employees and customers. A key problem with the publicly available APIs is that they have varying levels of security and privacy that don’t always meet the needs …
AI and machine learning (ML) are no longer just emerging trends; they’re driving real change across the enterprise world. However, approaching AI & ML integration without a well-defined strategy can result in wasted time, resources, and missed opportunities. To ensure success, you must begin with a clear vision of your goals. What problem are you solving? What value will AI …
Erik Hermansen, a Director of Engineering at Bayer, joins us on the Generative AI in the Enterprise podcast today. Erik is a self-taught software engineer who is passionate about bleeding-edge techs, like Generative AI and LLMs. He has a lot of sympathy for folks who feel overwhelmed and overloaded by all the hype around GenAI. His advice is to slow …
