Paterson misses: 1️⃣ Trash talk didn’t start w/ Trump—Mamdani’s Cuomo jab hit policy, not POWs. 2️⃣ Growing turnout is democracy; Obama ’08 & Abrams ’20 did it pre-Trump. 3️⃣ Mamdani’s rivals fling harsher insults. Progressive surge ≠ “Trumpism.”

I’ve been using a similar AI pair programming approach: 1.Use o3 to sketch out the project goals. 2.Feed that into Gemini 2.5 Pro to generate a phased implementation plan—each phase scoped to fit into a single chat session in Cursor. 3.I tell Gemini I’m using Cursor with various LLMs as execution agents, and ask it to generate CursorRules and the first execution prompt. I paste that prompt into Cursor and start the phase using Gemini 2.5 or Claude Opus 4. Here’s the key loop: After every Cursor reply, I paste the full output back into the original Gemini planning session and ask: •Does this complete the phase? •If not, what’s left? •What should the next prompt be? This feedback loop keeps the planning agent aware of progress. At critical junctures, I use it to evaluate whether to stay on plan or pivot. Over time, I also rely on Gemini to help decide: •Which files should be added to prompt context? •Whether CursorRules should be updated? •Whether to inspect or revise any specific files? By consistently reporting execution output back to the planning agent, I’ve kept coherent memory and context across 600–700k tokens with Gemini 2.5—without losing the thread.