The core strategy behind Cloud Code is to anticipate and build for the capabilities AI models will have in six months, rather than being constrained by current limitations. This means accepting that today's product might not be fully functional but will become powerful as the underlying models improve.
Cloud Code's features, including its CLI-first interface and 'plan mode', were not part of a master plan but emerged from observing how users were already trying to solve problems. The product's success comes from making existing workflows easier, not inventing new ones.
The codebase for Cloud Code is in a constant state of flux, with no code from six months ago still existing. Scaffolding built to compensate for model weaknesses is treated as temporary tech debt, to be deleted when the next model generation makes it redundant.
Complex software development is moving towards multi-agent systems. Cloud Code's plugin feature was built entirely by a 'swarm' of agents coordinated via an Asana board, demonstrating a new paradigm for autonomous software creation.
AI tools are creating unprecedented productivity leaps, with Anthropic seeing a 150% increase per engineer. This is blurring roles, with designers, PMs, and finance staff now coding, and leading to the prediction that the 'software engineer' title will fade in favor of more generalist 'builders'.
Keep pulling the thread on Boris Cherny.