Neander Language Builds API Discovery Directly Into Agent Programs

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A purpose-built programming language called Neander addresses a core challenge in agentic AI systems: how an autonomous agent finds and understands available APIs without human assistance. Traditional integration relied on developers reading documentation before writing code, but when agents replace developers, that discovery step must be handled programmatically. Common approaches, such as pre-loading full tool catalogs or bolting on meta-tools, suffer from scalability, latency, and context-bloat issues. Neander solves this by making discovery a native language verb, meaning an agent queries what APIs exist using the same mechanism it uses to call them. This unified model routes all agent interactions — whether exploring capabilities or executing tasks — through a single entry point called submitProgram.

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