Sixteen years in, AI writes my code. Here’s what I’m still for.
One engineer’s journey through faster code, rising AI bills, and the work that still needs a human.
Writing
Notes on AI platforms, agent quality, and how software engineering is changing.
One engineer’s journey through faster code, rising AI bills, and the work that still needs a human.
AI will not make software engineers obsolete. It moves the value of the work from writing code toward judgment, trust, and people.
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 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 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 analysis of evaluation frameworks for AI agents, covering conversational, autonomous, and multi-agent systems with practical insights and methodologies.
A technical deep dive into the four core platform modules: LLM gateways, MCP tool brokers, secure execution sandboxes, and unified telemetry.
An in-depth exploration of architectural patterns and best practices for building enterprise-grade AI platforms that scale.