Freeing up carbon brains is the winning strategy.
Anyone who looks at the history of software development can see where this is heading.
Two loud groups crowd the AI conversation, but most of us are just running the race.
The all-you-can-eat era of AI is ending. Compute constraints, heavier models, and a fully hooked user base are pushing providers toward pay-as-you-go. That shift will force better choices, smaller models, and fiercer competition between tools.
What the testing pyramid can teach us about the future of intelligent workflows.
What my autonomous game engine tells us about the future of software development
Software experts must balance enthusiasm for generative AI's genuine capabilities with critical scrutiny to prevent unchecked hype from driving poor technical decisions.
How to manage multiple Claude Code accounts across different machines using Jean-Claude to selectively sync configuration while keeping account-specific data separate.
As software development feedback loops accelerate toward minutes, quality assurance remains the final bottleneck where human judgment is still required.
An experiment in fully autonomous software development