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Developers: How-Tos, SDKs & Routing Guides — ShareAI Blog

How-tos, code samples, and SDK tips for building on ShareAI. Learn routing policies, failover, pricing controls, and best practices to ship fast with one API across many providers.

Claude Code AI Gateway: Route Coding Agents Safely

A practical guide to using an AI gateway with Claude Code for routing, failover, cost visibility, access control, and Builder monetization. …

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AI Provider Ban Runbook: Keep Your App Online

A practical runbook for reducing single-provider AI risk with fallback models, route health checks, failover tests, and customer-safe migration planning. …

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Online LLM Evaluation: Monitor Quality Before Routing Changes Hurt Users

Online LLM evaluation helps teams sample real traffic, detect quality regressions, and choose model routes with more confidence. …

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Spec-Driven AI Development: Govern Agent Instructions Before They Ship

Spec-driven AI development turns prompts, requirements, and agent instructions into governed artifacts that teams can review, version, test, and improve. …

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AI Agent Fleet Operations: Route, Govern, and Price Repeated Inference

AI agent fleet operations need routing, failover, guardrails, usage tracking, and pricing so long-running agents stay reliable and sustainable. …

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AI Agent Pricing Metrics: Conversations vs Runs vs Tasks

Choose the right pricing metric for AI conversations, agent runs, tasks, and tool calls before heavy usage eats product margin. …

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Builder Integration Checklist for Client AI Apps

Use this Builder integration checklist before a client AI application goes live. Map routing, usage units, margins, payment, reporting, and handoff. …

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OpenAI-Compatible LLM Gateway: Switch Providers Without Rewriting Code

How OpenAI-compatible LLM gateways keep integrations stable while teams compare providers, route models, and reduce operational lock-in. …

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MCP Registry Governance: Control Tool Access Before Agents Use It

How to treat MCP registries as governed infrastructure for agent tools instead of just a convenient discovery layer. …

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AI Policy Enforcement: Turn AI Rules Into Runtime Controls

How runtime AI policy enforcement helps teams control model access, tool calls, regions, costs, logs, and approvals. …

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