Frontend systems built as platforms, not page collections.
I use this site to accumulate system design decisions, delivery patterns, and the working ideas behind platform engineering, CI, and agent-driven engineering loops.
Systems
Architecture decisions, SDK surfaces, and the infrastructure choices that constrain product velocity.
Work
Case-based engineering stories focused on judgment, tradeoffs, and the mechanics behind shipped outcomes.
Ideas
Working notes, critiques, and unfinished thinking that is still useful before it becomes doctrine.
Digests
Model-assisted summaries and condensed notes with enough context to understand how the post was shaped.
Recent entries across systems, work, ideas, and digests.
The first version stays small on purpose: enough surface area to prove the content model and the deployment path.
Code Review Changed Before Most Teams Realized It
AI-assisted development made code generation cheaper, shifting code review's bottleneck toward context reconstruction and reviewer-oriented context engineering.
ProgramBench and the Emerging Limits of AI Software Engineering
ProgramBench reframes AI coding evaluation around system reconstruction, exposing the gap between modifying software and architecting software systems.
Codex `/goal` changes the developer loop
Codex `/goal` turns agent work from prompt-by-prompt steering into a goal-driven loop with completion defined up front.
From compute power to productivity
Measure AI productivity by how human judgment, compute, context, and control loops become resolved engineering work.