On systems, product delivery, and using AI to ship better software.
Featured Essay
Every AI-powered product pays a hidden tax in tokens. The teams that learn compression, routing, and context discipline are the ones that keep margin as they scale.
Single agents are easy demos. The hard part is building systems of agents that decompose work cleanly, share context sparingly, and converge without chaos.
Most awesome-AI lists are noise. These are the open source tools worth serious attention when integration quality and maintenance discipline matter more than hype.
Parallelization is not just a software optimization. It is a way to think about work, decisions, and communication by finding real dependencies and moving everything else at the same time.
