A new command-line tool called codemap has been released to summarize a codebase's structure and dependencies and feed LLMs efficient "architectural context," addressing the token-consumption problem facing AI coding agents.
CLI Tool · codemap by JordanCoin
A "project brain" that feeds AI your codebase — without burning tokens
Instead of dumping an entire project into every prompt, codemap hands coding assistants like Claude a compact, structured summary of file layout, dependencies and diffs — so they grasp the architecture while token usage stays low.
18
languages covered by dependency analysis
6
core commands, from tree view to MCP server
5+
install routes: Homebrew, scoop, go, tarball, AUR
The token problem it solves
Large-context models can ingest a whole codebase — but raw tokens drive up cost and latency. codemap pre-compresses the architecture instead.
Whole codebase
high token cost
→
Compact summary
low token cost
What it generates
File structure
tree / context display
Dependency flow
via ast-grep
Change diffs
against main branch
Importer analysis
who references a file
Tight integration with Claude
Hooks auto-inject context at session start and around edits — and pass it between agents with no re-briefing.
Session start
→
Inject context
→
Edit code
→
handoff to next agent
Praised for
Auto context injection at session start
Multi-agent handoff without re-briefing
One-command "brain map" of the whole project
Real token savings, strong Claude affinity
Caveats
--deps needs ast-grep installed separatelyInitial setup is somewhat involved
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