Architecture Before Automation
AI-assisted development scales reliably only when system boundaries, data models, and operating rules are clear first.
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Kyluke McDougall All insights Topic guide
Software architecture and operations
System boundaries, backends, cloud infrastructure, and decisions that keep software maintainable.
AI Coding Agents Need Architecture They Can Read
AI-assisted development becomes safer when architectural decisions, constraints, and review rules live inside the codebase.
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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 
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 
Code is Cheap. Software Is Still Expensive.
AI lowers the cost of generating code, but architecture, operations, security, and long-term ownership still determine the real cost of software.
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Kyluke McDougall Next step
Turn useful insight into a dependable technical decision
Topic guides
Guidance organised around your technical decision
01
Software modernisation
Legacy systems, make-or-buy decisions, and technical renewal without a reckless rewrite.
Open guide and articles 02Apps and digital products
From product judgement and prototypes to dependable apps, platforms, and SaaS products.
Open guide and articles 03Software architecture and operations
System boundaries, backends, cloud infrastructure, and decisions that keep software maintainable.
Open guide and articles 04Production-grade AI agents
Security boundaries, governance, and delivery practices for AI agents in real systems.
Open guide and articles