Advisory by Author

AI coding tools offer early wins, but deferred maintenance and “AI debt” erode these gains within two years. Look past vendor hype.

AI coding debt accumulates silently and rapidly, creating unmaintainable codebases. Organisations must implement deliberate governance and tracking frameworks to manage this risk.

Data sovereignty and centralised management prioritised over cost; IBRS favours containerised, Australian-hosted infrastructure across global, domestic, and open-source stacks.

HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.

Multi-agent systems improve reasoning through collaborative debate. While costly and slow, they are vital for high-stakes tasks requiring extreme accuracy.

Reflexion architecture uses self-correction and memory to fix errors, but high costs and latency make it best for deterministic tasks.

Plan-and-Execute architectures prioritise structured, hierarchical workflows over reactive loops, delivering superior predictability and parallel execution for complex, multi-step business tasks.

ReAct architecture boosts performance via iterative reasoning, yet faces high costs and latency. It’s best for narrow, specialised research tasks.

BDI architecture offers a transparent, resource-efficient framework for goal-directed RAG, though it requires stable environments and rigorous upfront plan engineering.

Ignore ‘SaaSpocalypse’ hype. SaaS remains your stable system of record; use AI ‘vibe-coding’ only for niche, high-value edge innovations.