Half My Tasks Went to Pro — and So Did Only 61% of the Tokens
A singular model setting became a models collection, which means routing across models is now something you define yourself. Here is how I re-measured a task-type routing rule against the actual context-size distribution of 67 tasks in my own repository.
Routing /effort by Task Class in Antigravity CLI: Six Weeks of Measurements
I built a small router that picks an /effort level from the shape of the task, then aggregated six weeks of run logs. Here is where raising effort helped, where it actively hurt, and what mattered more than effort.
When the JSDoc an AI Wrote Quietly Stopped Matching the Code: Field Notes on Measuring Documentation Drift
AI-generated JSDoc gets written once, looks authoritative, and is then trusted and left to rot. Field notes on hashing function signatures to detect staleness, tracking a drift rate, and fixing only the blocks that actually diverged.
The More I Wrote in AGENTS.md, the Less Got Followed — Measuring Adherence and Cutting Rules
The rules in my AGENTS.md were being ignored — not from precedence conflicts or load failures, just plain ignored. Here is how I turned rules into checkable predicates, measured adherence over three weeks, and cut the file in half.
Measure Before You Trim: A Context Ledger for Antigravity CLI Token and Latency Costs
Prompted by the ~70% token reduction reported for the Android CLI agent, I built a thin wrapper and a weekly review to measure my own agent runs. Here is how I replaced whole-file context with line ranges and cut wait times.
How Far Can On-Device Inference Stay Free? Measuring the Line Between Foundation Models and Gemini
WWDC 2026 widened Apple Foundation Models' free tier, making on-device inference easier to reach for. But 'free, so everything on-device' hits cases where quality falls short. Here is how to decide the range you hold on-device and the range you pass to cloud Gemini by measurement, not guesswork.