> Across Google and our early access partners, Argon is quickly becoming the preferred model for engineers tackling long-horizon software engineering.

"Across Google", wonder how much that is because of an effort by Google to curb usage of Anthropic models. MSFT and Meta similarly are pushing for in-house models. It doesn't mean the models are better when you push your engineers to dogfood and restrict access to other LLMs.

(Not that I know for sure this is the case, it's more of a hypothesis).

Explain to me what is "long-horizon software engineering" in 2026.

I mean, don't we want engineers to dogfood their own product so that they know it's strengths and weaknesses and be in position to improve it?