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Feb 19, 2026
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Fetch.ai Launches FetchCoder V2 to Accelerate Development of Autonomous Brand Agents
NewDecoded
4 min read
Image by SIMON LEE
Fetch.ai has officially launched FetchCoder V2, a specialized AI coding assistant designed to streamline the creation of autonomous agents. This release, announced on January 15, 2026, focuses on making the development of complex multi-agent systems more accessible and reliable for creators. By providing a tool purpose-built for the ASI:One ecosystem, the company aims to accelerate the deployment of agents that can perform real-world tasks autonomously.
Unlike general coding tools, FetchCoder V2 is optimized for the technical requirements of the Fetch network and its foundational uAgents framework. It assists developers in building systems that are transparent and auditable, which is essential for managing user data and financial transactions. This focus on reliability ensures that agents can collaborate effectively within a decentralized marketplace without the errors frequently found in standard AI-generated code.
For businesses, this tool provides a fast track to creating "Brand Agents" that can actively engage with customers. Global brands like Marriott, Nike, and Hilton are already utilizing the Fetch Business portal to deploy verified agents capable of booking reservations and managing retail orders. FetchCoder V2 allows these companies to transform their digital services into proactive assistants that resolve customer needs in real time through the Fetch Business interface. According to technical details shared on LinkedIn, the assistant is a direct response to the historical complexity of building multi-agent systems. It enables developers to focus on the unique logic of their brand rather than the underlying infrastructure of the ASI Network. This streamlined process is intended to rapidly populate the Agentverse with thousands of new, specialized capabilities. The practical impact of this technology is visible in the way ASI:One handles complex prompts, such as planning a multi-day trip or scheduling a group dinner. By using FetchCoder, a developer can build an agent that knows how to communicate with travel, dining, and calendar agents simultaneously. This collaboration allows for a seamless user experience where multiple agents work in harmony to fulfill a single natural language request. As the ecosystem grows, resources like the Innovation Lab offer further examples of how to utilize these new coding tools. The initiative is bolstered by upcoming developer events like Hack@Brown 2026, which encourage the next generation of innovators to build on the network. These efforts collectively push the boundaries of what personal AI can achieve for both consumers and enterprises.
The arrival of FetchCoder V2 signifies a strategic pivot toward closing the "Action Gap" in the artificial intelligence industry. While large language models have mastered conversation, the next frontier is autonomous execution where AI actually completes the tasks it discusses. By lowering the technical barrier for agent creation, Fetch.ai is building the necessary supply side for a marketplace where software acts as a proxy for human intent across the digital economy.
