system-prompts-and-models-of-ai-toolsModel46/100 via “file editing strategy pattern extraction”
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts
Unique: Compares multiple file editing paradigms (line-replace, ReplacementChunks, Quick Edit Comments, full rewrites) with explicit analysis of validation pipelines and linter feedback loops — reveals how different tools balance edit granularity vs. token efficiency vs. code quality assurance
vs others: Provides comparative analysis of editing strategies across tools rather than single-tool documentation; enables informed choice of editing approach when designing custom agents