Falling behind in the global renewables race
And it needs deep extensibility. Users and AI must be able to write extensions that access the system’s internals, building custom tools, automation, and domain-specific reasoning engines. This is already happening: AI agents build their own proof strategies on top of the platform. The platform adapts to its users, not the other way around.
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"It's just a matter of having enough Artemis launches to build the infrastructure on the Moon by then," he adds, referring to Nasa's Artemis spaceflight programme that aims to send people and equipment to the Moon.
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This kind of test is also more business-oriented, because they focus on testing external, visible behaviors (so it’s kind of “BDD in code”). You don’t have to think about internal implementation details anymore. In most cases, you don’t even need mocks, it’s enough to use hand-written Test Doubles/Fakes/Stubs (e.g. an in-memory list that simulates a database, fake time provider, etc) (tests with Fakes are much cleaner).