Beyond Text Streams: Building Interactive Micro-Frontends with MCP Apps
Why conversational AI needs rich visual components, and how to embed sandboxed interactive widgets into agent chat using MCP.
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Notes on AI platforms, agent quality, and how software engineering is changing.
Why conversational AI needs rich visual components, and how to embed sandboxed interactive widgets into agent chat using MCP.
What the ISO/IEC 42001 standard means when systems move from passive text generation to autonomous, tool-using agents.
Why platform engineers building agentic AI systems choose Amazon EKS Auto Mode over Fargate and ECS, and the real-world trade-offs to watch out for.
How to handle high-cardinality GenAI traces by ingesting once with OpenTelemetry and forking into APM, billing, and ClickHouse.
Why AI agents need their own first-class cryptographic identity alongside user delegation, and how a Token Vault enables secure tool execution.
How to design a production model gateway that handles provider outages, rate limits, and latency spikes across multiple cloud providers.
Why flat virtual networks are dangerous for AI systems, and how to design isolated network zones to prevent SSRF and data exfiltration.
How streaming tokens, minute-long connections, and token-based rate limits break standard enterprise API proxies.
Why safety frameworks must shift from regulating text output to constraining real-world actions when agents use tools.
How to connect AI agents to hundreds of existing internal APIs dynamically using the Model Context Protocol.
An in-depth exploration of architectural patterns and best practices for building enterprise-grade AI platforms that scale.
An in-depth exploration of architectural patterns and best practices for building enterprise-grade AI platforms that scale.