Under the hood: MCP, agent protocols, model architectures, embeddings, and production AI systems.
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Apple's M5 Pro and Max chips are tempting, but upgrading hardware before rebuilding your agent platform's control plane just accelerates a brittle system. Here's why we're choosing kernel-first.
The M5 may improve local AI inference, but for agent platforms the smarter move is stabilizing the kernel first, then scaling hardware in phases.
Apple's M5 Pro and M5 Max improve local AI throughput, but better silicon only helps agent platforms with dependable scheduling, observability, and control-plane authority already in place.
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Your GitHub runner holds the keys to your cloud accounts. Learn what a runner compromise means, why vibe coders are especially vulnerable, and how to lock down your deployment pipeline today.
Agent-to-agent attacks let one compromised AI tool influence others in your workflow. Learn the risks, warning signs, and practical defenses.
The OWASP LLM Top 10 maps the most common AI app security failures. Here's what vibe coders building with Cursor, Bolt, Replit, v0, and Lovable need to know—and fix—before shipping.
Learn how MCP Tasks decouple long-running agent work from blocking tool calls with polling, subscriptions, state management, and production safeguards.
Learn practical OAuth 2.1 token lifecycle patterns for MCP agent systems, including rotation, delegation, DPoP, and enterprise IdP integration.
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