map
Modules found from real dependencies, the most central files (PageRank), key symbols and entry points. Zoom into any directory for an outline with line numbers.
A map of your codebase for AI agents: code graph, search, call paths and change impact. No API key.
One issue-text search finds every fix file in the top 10 for 83.0% of SWE-bench Verified issues (semble: 71.0%). File retrieval, not issue resolution.
| Method | Acc@1 | Acc@5 | Acc@10 |
|---|---|---|---|
| repomap | 48.8% | 74.8% | 83.0% |
| semble | 34.0% | 61.6% | 71.0% |
| BM25 | 20.8% | 45.4% | 55.8% |
Defaults selected on 300 disjoint SWE-bench test instances, excluding every Verified ID, then frozen before one evaluation on all 500 Verified instances. One search per issue, at its base commit; gold files are used only for scoring. All three methods scored 500/500, with zero errors.
Split definitions, pinned revisions and full results · Committed chart data
Trade-off: on semble's public code-search set, NDCG@10 is 0.845 versus semble's 0.851; semble wins there. This is not a claim of better search on every task. Measured search quality and limitations.