Cambridge, UK -- January 15, 2026 -- Fetch.ai, a leader in AI agents and decentralized infrastructure, today announced the launch of FetchCoder V2, an AI coding assistant purpose-built for autonomous agent development. Unlike general-purpose coding tools, FetchCoder V2 addresses the unique challenges of building agents that act, learn, and interact independently across decentralized systems.
The AI agent economy is booming. Autonomous agents are moving from research labs into production across industries. But building them is fundamentally different from traditional software development:
Multi-agent orchestration - Agents must coordinate with other agents, not just respond to user input
Safety-critical operations - Autonomous systems need guardrails; mistakes compound quickly
Cross-system integration - Agents operate across platforms, blockchains, and APIs simultaneously
Complex testing requirements - You can't just check if the code runs; you need to verify autonomous behavior
Large, evolving codebases - Agent projects grow rapidly with multiple interdependencies
Traditional coding assistants treat agent development like any other coding task. They're not wrong, they're just not enough.
FetchCoder V2 is designed from the ground up for the agent development lifecycle. It doesn't just help you write code faster; it helps you ship autonomous systems safely.
"FetchCoder V2 is about turning ideas into intelligent software that works," said Humayun Sheikh, CEO of Fetch.ai. "It gives developers the tools and confidence to bring autonomous agents to life, without guesswork, and with control over every step. This is how we make building the next generation of AI faster, simpler, and more reliable, so teams can focus on innovation, not firefighting."
Spec-Driven from Day One
Define what you're building before generating a single line of code. FetchCoder V2 validates your plan upfront, ensuring alignment across your team and eliminating ambiguous requirements that lead to rework.
Safety Built In, Not Bolted On
Dangerous commands are automatically blocked. File modification budgets are enforced. Every change is tracked and reversible. Deploy with confidence knowing the system won't let you accidentally break production.
Test-Driven Agent Development
Testing isn't an afterthought. FetchCoder V2 guides you from failing tests to verified implementations, making reliability a natural part of your workflow. This matters when you're shipping software that makes decisions autonomously.
Smart Context for Agent Complexity
Working across multiple repos, agent frameworks, and integration points? FetchCoder V2 intelligently selects only the relevant code context, saving computational resources while maintaining accuracy across sprawling agent architectures.
Native Integration with the Agent Ecosystem
FetchCoder V2 leverages ASI:One, Fetch.ai's proprietary LLM, and integrates directly with Agentverse, Fetch.ai's platform for discovering and deploying millions of AI agents. Build locally, deploy globally, and tap into an existing agent network from day one.
Cosmos Mode for Web3 Agents
V2 introduces native support for the Cosmos ecosystem, enabling developers to build autonomous agents that interact seamlessly across blockchain networks. If you're building in Web3, FetchCoder V2 speaks your language.
For developers, this means:
Faster time to production - Go from concept to deployed agent in minutes, not weeks
Reduced risk - Built-in safety and testing catch issues before they reach production
Complete traceability - Every decision, every change, fully auditable
Flexibility - Multi-provider support lets you choose the right model for your needs
For the broader ecosystem, FetchCoder V2 accelerates the growth of the decentralized agent economy by making autonomous software development accessible, reliable, and scalable.
General-purpose coding assistants help you write code. FetchCoder V2 helps you ship autonomous agents. There's a difference, and if you're building in the agent economy, that difference matters.
FetchCoder V2 builds on everything developers loved in V1, session management, CLI workflow, tool abstraction, permissions, and configuration hierarchy---while adding the structure, safety, and predictability that complex agent systems demand.
Start here: https://github.com/fetchai/fetchcoder
About Fetch.ai
Fetch.ai is a Silicon Valley and Cambridge, UK--based AI company and founding member of the ASI Alliance, building the foundational infrastructure for the emerging agent economy. Fetch.ai enables autonomous, goal-oriented AI agents to discover, coordinate, and transact on behalf of users, businesses, and devices across an open, decentralized digital ecosystem. Its full-stack platform spans consumer, developer, and enterprise use cases, including ASI:One, a personal agentic AI users own and customize; Agentverse, a global discovery and monetization layer for AI agents; and Fetch Business, which allows companies to deploy verified, always-on brand agents. Together, these products make the agent-based web discoverable, interoperable, and economically viable, powering the next generation of intelligent applications.
