AI-assisted coding needs context, tests and review

AI-assisted coding needs context, tests and review

Generating code and delivering a maintainable, accepted change are different tasks. One illustrative feature request, followed from intent and context to tests, review and release, shows what AI-assisted development has to get right.

Why commercial teams need shared context

Why commercial teams need shared context

Organisations can gather many customer and market signals and still lack a shared basis for deciding what they mean. Why signals, reviewed knowledge, GTM choices and approved actions need to be kept apart, and connected.

From cloud tools to a repeatable platform foundation

From cloud tools to a repeatable platform foundation

Cloud infrastructure alone does not create a consistent way to onboard applications, deploy changes, manage access and operate environments. What sits in between, what can be standardised and which decisions stay specific to each organisation.

The contract is signed. Who owns the follow-through?

The contract is signed. Who owns the follow-through?

Signing records an agreement, but its obligations still need owners, actions, deadlines and visible follow-up. Why the handover after signing is where contracts lose their grip, and how to examine one obligation in practice.

AI routing: choosing around policy, quality and cost

AI routing: choosing around policy, quality and cost

Choosing an AI model is not just picking one provider for everything. It depends on the workload, permitted data routes, operational requirements and measurable results. How policy-based routing works, and where its limits lie.