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# AI Codebase Context Tools — Comparison
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# AI Codebase Context Tools - Comparison
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> How do you give AI agents codebase context? Here's every approach compared.
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>
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> Last updated: 2026-04-10 | [Submit corrections](https://github.com/glincker/stacklit/issues)
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## The Problem
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AI coding agents (Claude Code, Cursor, Copilot, Aider) need to understand your codebase before they can help. Without context, they waste thousands of tokens exploring — reading files, grepping, globbing — just to figure out your project structure.
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AI coding agents (Claude Code, Cursor, Copilot, Aider) need to understand your codebase before they can help. Without context, they waste thousands of tokens exploring - reading files, grepping, globbing - just to figure out your project structure.
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Different tools solve this differently. Some dump everything. Some build knowledge graphs. Some generate compressed maps. Here's how they compare.
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Concatenate all source files into one big prompt. Simple, works everywhere, but:
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- Burns 50k-500k tokens on medium repos
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- Often exceeds context windows entirely
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- No structural intelligence — agent still has to parse everything
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- No structural intelligence - agent still has to parse everything
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- Repomix's `--compress` mode uses tree-sitter to reduce output, but remains per-file (no cross-file dependency analysis)
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Best for: Small repos (<5k lines), one-shot conversations, pasting into ChatGPT.
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- Rich structural data (call graphs, blast radius, community detection)
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- Requires running a server process
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- Each query costs tokens (tool call overhead)
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- No committable artifact — the knowledge lives in the server
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- No committable artifact - the knowledge lives in the server
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Best for: Large codebases, long interactive sessions, teams with infra capacity.
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### Structural Index (Stacklit)
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Parses code with tree-sitter, builds a module-level dependency graph, outputs a compact navigation map:
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-**~250 tokens** for the compact map (vs 50k-500k for dumpers)
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- Static artifact — commit `stacklit.json` to your repo
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- Static artifact - commit `stacklit.json` to your repo
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- Self-contained HTML visualization
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- Auto-configures Claude Code, Cursor, Aider via `stacklit setup`
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