ATRIUMsearch → argument graph
MechanismArticle

Newer Anthropic models have been specifically trained, presumably via reinforcement learning, to better use the edit tools baked into Claude Code, and this makes them more likely to misuse the differently-shaped custom edit tools of other coding harnesses like Pi.

Armin's theory for the regression: Anthropic has likely RL-trained recent models heavily on Claude Code's own edit tool, which inadvertently degrades their ability to correctly use differently-designed edit tools in third-party harnesses like Pi. ✦ AI generated

Armin Ronacher · Simon Willison's Weblog · 2026-07-04 · original ↗

Armin theorizes that this is because more recent Anthropic models have been specifically trained (presumably via Reinforcement Learning) to better use the edit tools that are baked into Claude Code. This has the unfortunate effect that other coding harnesses, such as Pi, may find that their own custom edit tools are more likely to be used incorrectly.

Read full article ↗excerpt · fair-use quotation

Around this claim