Gemini 3.0 has been spotted in A/B testing on Google AI Studio, showcasing its advanced coding performance through SVG image generation. The author tested the model by creating an SVG image of an Xbox 360 controller, noting impressive results compared to the previous Gemini 2.5 Pro model, despite longer processing times.

A developer shares insights from creating a VS Code extension called terminal-editor, which integrates a shell-like interface within the editor. The article emphasizes the importance of structured planning and testing strategies when working with large language models (LLMs) to enhance coding efficiency and reduce errors. It highlights the need for an effective feedback loop and the limitations of LLMs in maintaining code quality and handling complex problems.

The article discusses the author's experience with AI-based coding, emphasizing a collaborative approach between human engineers and AI agents to enhance code quality and productivity. Despite achieving significant coding throughput, the author warns that the increased speed of commits can lead to more frequent bugs, advocating for improved testing methods to mitigate these risks.