Capability

Repository Wide Code Search And Context Retrieval Via Mentions

20 artifacts provide this capability.

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system-prompts-and-models-of-ai-toolsModel46/100

via “code search and context discovery pattern analysis”

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: Systematically compares code search implementations across agentic IDEs (semantic vs. keyword vs. AST-based) with explicit analysis of context prioritization and window allocation — reveals how tools balance search comprehensiveness vs. token efficiency in practice

Provides comparative analysis of search strategies across multiple tools rather than single-tool documentation; enables informed choice of search approach when designing code-aware agents

Repository Wide Code Search And Context Retrieval Via Mentions

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