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 documentationโwith minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didnโt, 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 donโt always meet the needs …
AI and machine learning (ML) are no longer just emerging trends; theyโre 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 …
Attention: This article was published over 2 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.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 …