When coding agents enter the delivery pipeline
AI coding agents become strategically interesting when they touch CI, pull requests, reviews and deployments. That is exactly when teams need clear operating rules.
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Kyluke McDougall 
AI coding agents are now part of the attack surface
Pwn2Own Berlin is testing Codex, Claude Code and Cursor. For teams adopting coding agents, the lesson is clear: treat the agent runtime as privileged software, not just a smarter editor.
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Kyluke McDougall 
The AI Act Is Also a Product Question
The current AI Act discussion on X is a reminder that companies should not treat AI compliance as a late legal cleanup. It starts with product architecture, data flows and responsibility boundaries.
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Kyluke McDougall 
Shadow AI: why companies need an inventory of AI-built apps
AI app builders make internal tools and prototypes visible very quickly. The real risk appears when nobody knows which apps exist, which data they touch and who owns them.
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Kyluke McDougall 
What Mozilla's Claude Mythos work teaches about AI security reviews
AI can help find security bugs faster. The business value comes from harnesses, reproducible tests, triage and release processes around the model.
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Kyluke McDougall 
AI Agent Memory Is Now Part of Your Security Architecture
Persistent AI memory can make assistants more useful, but it also creates a new attack surface. Companies need clear rules for what agents remember, retrieve and trust.
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Kyluke McDougall 
More AI coding capacity is not the same as more delivery capacity
Claude Code limit increases and production-agent adoption are a useful signal. The next bottleneck for serious teams is not generation speed, but product judgement, architecture, review and operations.
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Kyluke McDougall 
When 130 SaaS tools become an architecture problem
SaaS sprawl, shadow IT and API chaos are not just IT housekeeping. They shape security, operations, data quality and the speed of the business.
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Kyluke McDougall 
The AI Prototype Is Not the Product Yet
AI tools make ideas visible faster. The path from demo to production software still needs architecture, operations, and responsibility.
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Kyluke McDougall