What AI adoption actually looks like inside a 300+ engineer organisation
The hardest part of AI adoption isn't choosing tools. It's changing how engineers, leaders and organisations work around them.
The hardest part of AI adoption isn't choosing tools. It's changing how engineers, leaders and organisations work around them.
Most software engineers think a payment is a database transaction. The payments industry has spent decades proving otherwise.
Year after year the breach reports tell the same story: not sophisticated attackers, just credentials sitting somewhere they shouldn't.
Code rarely becomes hard to maintain because engineers wanted it that way. More often the architecture is just a faithful record of the incentives, constraints and decisions of the organisation around it.
Most engineers think desktop platforms are about windows and toolbars. The hard parts are identity, communication, deployment, versioning and convincing hundreds of applications to coexist without setting fire to each other.
Most caching strategies look brilliant during architecture reviews and become considerably less impressive the first time stale data reaches production.