Finally, I asked Wade:
PROMPT: Is there anything we can change or add to our instruction set to improve things?
REPLY: Read the whole set with fresh eyes. Honest answer: the big wins are already in there — verify-don't-assume, the quality gate, scope discipline. What's left is marginal stuff aimed at how smaller models specifically fail: they lose track across long chains, hallucinate file contents from memory, and thrash on stuck bugs. Four additions that would actually help:
Re-read before editing — never edit a region from memory of an earlier read; grep/read the exact lines first. Kills the most common bad-edit class.
Checkpoint rule — on multi-step jobs, refresh and check the console between steps instead of batching five edits then debugging the pile.
Two-strike stop rule — same bug surviving two fix attempts means stop, report, and wait for your call instead of burning quota looping.
Plan out loud first — for anything touching 3+ places, state the files and the order before touching anything, so you can catch a wrong plan cheaply.
Realistic calibration: that's maybe a 10–20% improvement, not a new brain. Say which ones you want and I'll write them into GLOBAL.md — though remember that file ships fleet-wide, so it'd ride along to every gen on the next distribution.
And now he's writing the next upgrade patch for all my gens to include this small improvement, since we are likely going to be stuck with a dumber ai model for a while. Anything that makes it work better is better than nothing.