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Graphify uses ASTs for deterministic code navigation in AI agents

By PulseAugur Editorial · [1 sources] ·

Graphify is a new tool that uses abstract syntax trees (ASTs) to create queryable knowledge graphs for code navigation, offering structural certainty over the approximate proximity of vector embeddings. It parses code using Tree-sitter, extracts entities and relationships, and partitions large codebases with community detection algorithms. This approach provides deterministic and explainable edges, enabling multi-hop queries essential for AI agents that need to understand code structure. AI

IMPACT Provides AI agents with structural certainty for code navigation, enabling more reliable and explainable code understanding.

RANK_REASON The item describes a new software tool for code navigation.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Graphify uses ASTs for deterministic code navigation in AI agents

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The item describes a new software tool for code navigation.
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  1. dev.to — LLM tag TIER_1 English(EN) · mech.app ·

    Graphify: AST-Based Knowledge Graphs for Agent Code Navigation

    <p>Agents need to navigate codebases, SQL schemas, and documentation to answer questions like "which functions call this API endpoint?" or "what tables does this migration touch?" Vector embeddings give you semantic proximity. AST-based knowledge graphs give you structural certai…

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