Guides and field notes on making AI agents work against real enterprise APIs—including the old ones.
How swy exec works: the single execution path for running Swytchcode tools, either by canonical ID or by plain-English intent.
How to use Swytchcode's guard policies to control exactly what an AI agent is allowed to execute, enforced before any request leaves your machine.
What tooling.json, manifest.json, and policies.json actually do in a Swytchcode project, and which CLI commands read and write each one.
A look at how Swytchcode automatically retries failed API calls with backoff, and why that retry logic is safe by default instead of risky.
Idempotency stops a retried API call from repeating its side effect. Here's what that means and how Swytchcode applies it automatically to every tool call.
An execution layer sits between an AI agent and real APIs, handling authentication, retries, and policy checks. Here's what that means and why it matters.
Connect Swytchcode to LangGraph so your stateful agent workflows can safely call real APIs, with authentication, retries, and policy checks built in.
Connect Swytchcode to the Anthropic SDK so Claude can safely call real APIs in your application. Full setup steps and a working code example.
Connect Swytchcode to the OpenAI Agents SDK so your agent can safely call real APIs, with authentication, retries, and policy checks handled automatically.
Learn how to connect Swytchcode to OpenClaw so your AI assistant can safely call real APIs, plus a real working multi-API onboarding demo built with HubSpot, Stripe, and Resend.
Learn how to connect the Swytchcode MCP server to Cursor, Claude Code, Windsurf, Copilot, and other AI editors, with exact setup commands, verification steps, and fixes for common connection issues.
Swytchcode can be used through the CLI, MCP, or native SDKs. This guide breaks down each method with setup steps, code examples, and guidance on which one fits your workflow.
Explore about how you can build a github AI Agent bot with swytchcode cli