Fetch.ai, the pioneer of autonomous artificial intelligence (AI) agents and decentralized infrastructure, has announced the beta launch of FetchCoder, a new AI-native coding aid built to boost development across Fetch.ai, cosmos, and the vast Web3 ecosystem, on October 14, 2025.
FetchCoder unites the new generation of AI coding aids that can analyze and migrate across the whole codebases, in the same way as the innovative tools developers are starting to adopt in modern workflows. Irrespective of generic solutions, FetchCoder is entirely built as an AI coding agent, joining profound code understanding with agentic cogitating and direct unification into the Fetch.ai ecosystem.
It plans dependencies, briefs architecture, and correlates multi-file edits via autonomous intelligence, while joining seamlessly to Agentverse and ASI: One, so developers can move from coding to positioning live, discoverable agents in a single workflow.
Building the Future of Autonomous Agent Development
Fetch.ai’s reasoning engine for long-context comprehending and autonomous tool use, powered by ASI1, FetchCoder conducts deep code understanding and intelligent orchestration directly into the developer workflow. Basically, the purpose behind this is to help builders seamlessly shift from an idea to a fully functional agent within the same environment.
Humayun Sheikh, CEO of Fetch.ai. Said, “FetchCoder is a major step toward developer-first AI infrastructure.” He elaborates further, “It brings intelligence directly into the coding process and connects it to a live agent ecosystem. Developers can now build, test, and deploy autonomous agents that operate across networks, all from within their normal workflow.”
This ecosystem collaboration means developers can code, connect, and deploy without friction- building intelligent, determinable agents that operate natively within Fetch.ai’s decentralized network.
Fetch.ai’s FetchCoder Empowers Developers with Seamless Agentic Integration
Developers can work via a clean, interactive TUI with syntax underlining and markdown supplying, use a command-line (CLI) for one-shot works, or run API server mode for integration with existing tools. Certain features include: Agentic code understanding, multi-chain ready, specialized agent skills, too-based architecture, Agentverse MCP integration, and developer-first privacy.
FetchCoder facilitates users by making code simpler for new features, connecting autonomous attitude, and polishing agents, without leaving your development environment. Developers can check at the spot by experimenting with default test keys and integrate smoothly with VSCode or any existing workflow. By submerging AI-native intelligence, FetchCoder lowers the hindrance for building the agentic economy to shape the decentralized AI landscape.
