Best AI Voice Agents for Visual Studio Code

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Compare the Top AI Voice Agents that integrate with Visual Studio Code as of June 2025

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This a list of AI Voice Agents that integrate with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.

What are AI Voice Agents for Visual Studio Code?

AI voice agents are advanced virtual assistants powered by artificial intelligence that can understand, process, and respond to spoken language in real time. They use natural language processing (NLP) and machine learning to engage in human-like conversations, handling customer service, scheduling, and various automated tasks. These agents can integrate with business systems, providing seamless interactions for users across multiple platforms such as phone calls, chat applications, and smart devices. By continuously learning from interactions, they improve their accuracy and efficiency over time, reducing the need for human intervention. AI voice agents enhance productivity, streamline workflows, and offer businesses a scalable solution for handling customer inquiries and operations. Compare and read user reviews of the best AI Voice Agents for Visual Studio Code currently available using the table below. This list is updated regularly.

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    Dasha

    Dasha

    Dasha

    Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. With a single integration, create smart conversational apps for web, desktop, mobile, IoT, and call centers. DashaScript is an event-driven declarative programming language used to design complex real-world conversations that pass a limited Turing test. Automate call center conversations, recreate the Google Duplex demo in under 400 lines of code or create a no-code GUI for your users that translates into DashaScript code. If it is connected to the internet and has access to a speaker/mic, it can run a Dasha application. Your conversational voice/chat apps use your existing infrastructure, including databases, external services (Airtable, Zendesk, TalkDesk, etc.), and business logic. Run conversations through anything. Feed your custom data into Dasha and consume results where they provide the most value.
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