AI Agents Need Governance Before They Need Production Access
AI agents can be useful in real business workflows, but only when access, auditability, approval boundaries and accountability are designed before production rollout.
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Kyluke McDougallRead the analysis
AI coding needs better specifications, not less architecture
The current spec-driven development discussion is a useful reminder: when AI makes implementation faster, unclear product intent becomes the expensive part.
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Kyluke McDougall
The AI agent is not the product
Production-ready AI agents need more than a strong model. They need architecture around context, tools, permissions, validation and operations.
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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
Before an AI-built app goes live, it needs a security check
Tools like Lovable, Replit and similar platforms make web apps visible quickly. Before customer data, real users or internal workflows are involved, teams need a clear production and security handover.
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Kyluke McDougall
AI Agents Need More Than Login Credentials
Once AI agents can use tools, APIs and internal systems, authentication is not enough. Companies need clear execution rights, approvals and auditability.
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Kyluke McDougall
AI Coding Agents Need Guardrails, Not Blind Approval
AI agents can accelerate software delivery. In production workflows, they also need scoped permissions, reviews, tests, logs, and operating rules.
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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