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Thoughts on building integrations for AI agents, shipping multi-tenant OAuth, and growing the Corsair open-source ecosystem.
Open source vs closed source integration tools for AI agents — how the choice affects vendor lock-in, security transparency, long-term cost, and your ability to ship integrations on your own timeline.
Read articleA TypeScript developer's guide to wiring integration layers into both the Claude Agent SDK and OpenAI Agents SDK — how tool definitions, hooks, guardrails, and tenant isolation differ across each framework.
Read articleWhy webhooks alone can't support what AI agents actually need — synchronous access, tenant-aware permissions, and flexible tool execution within a single reasoning step.
Read articleWhy closed source integration platforms are a security risk for AI agents — and how open source TypeScript frameworks with self-hosted options give you the auditability multi-tenant AI products need.
Read articleBest practices for multi-tenant OAuth in AI agents — how to structure credential management, scope permissions per tenant, and avoid the mistakes that turn auth into a security liability.
Read articleHow to connect Google Drive to OpenAI Agents SDK — turn passive cloud storage into an intelligent layer your AI agent can search, organize, and share files through naturally.
Read articleA developer's guide to Claude Agent SDK integrations, how to wire in custom tools like Jira, Slack, and Google Drive without turning each one into a maintenance project.
Read articleSelf-hosted vs managed integration platforms — what AI teams actually need to know about data control, cost, and choosing the right integration platform as a service.
Read articleDiscover how MCP integration helps businesses connect AI agents to external tools securely, reduce engineering complexity, and scale reliable AI automation with ease.
Read articleClassic iPaaS tools like Zapier and MuleSoft were built for fixed, pre-defined workflows not for AI agents that decide in real time which apps to touch and in what order. Here's why that model breaks for agents, and what a typed, callable integration layer looks like instead.
Read articleLearn what Google APIs are, how they work, and how to integrate services like Maps, Gmail, Drive, and Calendar securely into modern applications and AI agents.
Read articleA developer experience deep dive into building AI agent integrations in TypeScript — typed tool calling, OAuth vs API keys, and webhook security done right.
Read articleLearn how MCP servers connect AI agents to GitHub, Slack, Notion, Linear, Stripe, and more, and discover what to look for when choosing an MCP integration layer.
Read articleLearn how to securely connect AI agents with Google Drive, Calendar, and Sheets using OAuth, MCP, permission gates, and multi-tenant integrations.
Read articleCompare open-source and closed-source integration platforms for AI agents. Learn how vendor lock-in, pricing, security, and extensibility affect long-term product strategy.
Read articleAnthropic launched Claude Fable 5, a Mythos-class model made safe for general use, alongside Claude Mythos 5 for trusted partners — with new safeguards, pricing, and availability details.
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