Essays on AI agents, full-stack systems, and building in public.
Spec-Driven Development turns documentation into executable blueprints for AI agents.
Overcoming the Long-Running Agent Problem with a Two-Fold System and structured state management.
Transitioning from simple performance metrics to a robust Reliability Science framework for evaluating long-horizon LLM agents.
Context Engineering is the art of curating the optimal set of tokens to maximize an agent's attention budget.
How NRQL predictions use Holt-Winters exponential smoothing to forecast time series metrics.
From $1.00 to $0.01 per slide — redesigning an AI presentation pipeline with structured outputs and prompt chaining.
Architecture decisions behind a real-time chess platform with sub-50ms move propagation and ELO matchmaking.