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mblanke
9b98ab9614
- NetworkMap: hunt-scoped force-directed graph with click-to-inspect popover - NetworkMap: zoom/pan (wheel, drag, buttons), viewport transform - NetworkMap: clickable IP/Host/Domain/URL legend chips to filter node types - NetworkMap: brighter colors, 20% smaller nodes - DatasetViewer: IOC columns highlighted with colored headers + cell tinting - AUPScanner: hunt dropdown replacing dataset checkboxes, auto-select all - Rename 'Social Media (Personal)' theme to 'Social Media' with DB migration - Fix /api/hunts timeout: Dataset.rows lazy='noload' (was selectin cascade) - Add OS column mapping to normalizer - Full backend services, DB models, alembic migrations, new routes - New components: Dashboard, HuntManager, FileUpload, NetworkMap, etc. - Docker Compose deployment with nginx reverse proxy
892 B
892 B
Algorithms & Performance
Use this skill when performance matters (large inputs, hot paths, or repeated calls).
Checklist
- Identify the state you're recomputing.
- Add memoization / caching when the same subproblem repeats.
- Prefer linear scans + caches over nested loops when possible.
- If you can write it as a recurrence, you can test it.
Practical heuristics
- Measure first when possible (timing + input sizes).
- Optimize the biggest wins: avoid repeated I/O, repeated parsing, repeated network calls.
- Keep caches bounded (size/TTL) and invalidate safely.
- Choose data structures intentionally: dict/set for membership, heap for top-k, deque for queues.
Review notes (for PRs)
- Call out accidental O(n²) patterns.
- Suggest table/DP or memoization when repeated work is obvious.
- Add tests that cover base cases + typical cases + worst-case size.