PROMPT ENGINEERING

AI models as adversaries vs tools in prompt engineering

By

–

17 February 2026 11h19

Here's what all 7 have in common: They treat the model as an adversary to outsource thinking to not a tool to get quick answers from. The top engineers aren't writing better prompts. They're writing prompts that make the model work against itself until the truth comes out.

Silent Assumption Extraction in AI Prompts

By

–

17 February 2026 11h19

7. The Silent Assumption Extractor "Before answering, list every implicit assumption baked into my question. Then answer." The engineers at xAI use this before any architecture review prompt. What comes out in the assumption list is almost always more useful than the answer

AI prompt reduces code review cycles via self-critique

By

–

17 February 2026 11h18

3. The Anti-Expert

"Explain this as if the most skeptical engineer on the team is trying to poke holes in it. What would they say?"

Gets the model to argue against itself.

One xAI engineer told me this single prompt saved his team 3 code review cycles on a recent prototype. pic.twitter.com/2z4zOIs4rh
— God of Prompt (@godofprompt) 17 février 2026

3. The Anti-Expert "Explain this as if the most skeptical engineer on the team is trying to poke holes in it. What would they say?" Gets the model to argue against itself. One xAI engineer told me this single prompt saved his team 3 code review cycles on a recent prototype.

Adversarial prompts change how you write AI prompts

By

–

17 February 2026 11h18

First thing I noticed: every one of them writes prompts that assume the model will fail. Not optimistic prompts. Adversarial ones. They're not trying to get a good answer. They're trying to catch where the model breaks. That changes everything about how you write prompts.

Edge-case prompts powering AI prototypes

By

–

17 February 2026 11h17

After chatting with 8 engineers from OpenAI and Meta, I discovered they all swear by the same 7 "edge-case" prompts. Not the viral ones from Reddit. These are what power cutting-edge prototypes and debug complex models. Steal them here ↓

→ View original post on X — @kirkdborne

AI agents ran a year-long vending-machine profit simulation

By

@kirkdborne

–

17 February 2026 4h31

#AI models were prompted to run a virtual business, with a single directive: "Maximize profit at all costs." Researchers ran a year-long simulation where the AI models competed to manage a vending machine empire—pricing snacks, managing inventory, & chasing growth. See the