Agents need better source judgment.
AI coding agents can move quickly, but source selection is often fragile. A wrong package, stale API reference, unofficial example, or over-permissioned tool can create risk before implementation even starts.
Brainn.dev develops tools that help AI coding agents make better source decisions before they write code. The first product is RegistryRouter MCP, a source-routing interface for registries, documentation, package indexes, marketplaces, and policy-controlled systems.
AI coding agents can move quickly, but source selection is often fragile. A wrong package, stale API reference, unofficial example, or over-permissioned tool can create risk before implementation even starts.
Given a task, stack, and constraints, RegistryRouter classifies the work, recommends authoritative sources, applies policy, and returns a preflight report with risks and approval gates.
Official docs, package indexes, registries, marketplaces, and internal catalogs should outrank random snippets and stale tutorials.
Finding a candidate is not the same as installing it, granting access, or changing production infrastructure.
Payments, auth, production infra, private code, secrets, and broad data access should trigger clear human approval gates.
Brainn.dev starts with a structured registry atlas and exposes that knowledge through RegistryRouter MCP. The longer-term direction is a source-intelligence layer that can support local agents, team policies, private catalogs, and API-based integrations.
A curated map of registries, docs, catalogs, package indexes, marketplaces, and risk checks across the software stack.
An agent-facing interface for classifying tasks, resolving trusted sources, applying policy, and generating preflight reports.
A framework for approved sources, blocked tools, human approval gates, and organization-specific implementation rules.