I wanted to share this example for you of Kimi K2.6 finding things to improve on a book text processing program that I originally vibe coded on Claude Opus 4.6.

Note the number of things Kimi K2.6 found and the bottom line HUGE improvements in CPU and Disk I/O efficiency that were accomplished. This shows the real-world impact of Kimi K2.6 bug-fixing and refactoring capabilities for existing code (Python in this case).

Changes made
1. Fixed catastrophic regex backtracking (_disc_extract_json)
Changed greedy r"\{.\}" non-greedy r"\{.?\}"
Capped input to 50 KB before regex runs
Limited JSON repair attempts to 20 KB and 7 brace tries (was unlimited / 12)
2. Added in-memory discovery cache (_disc_cache)
Discoveries are now loaded from disk once, then cached
Cache is invalidated only when a new discovery is saved or a submission flag is toggled
Eliminates 500+ file reads × UI refresh cycles
3. Optimized book-text extraction (_disc_extract_book_text)
Capped source text to 500 KB before processing
Limited keyword set to top 20 words
Sliding-window step is now dynamic: max(100, total_words // 50) instead of fixed 100
This means at most ~50 windows are scored regardless of text length
4. Added real CPU yield sleeps
await asyncio.sleep(0) await asyncio.sleep(0.01) for skipped/done files
Added await asyncio.sleep(0.05) after every file processed
This gives the event loop (and other tasks like WebSocket heartbeats, UI updates, TTS queue) breathing room
5. Pre-computed file lists
rglob("*.inf") now runs once per folder scan and the result is stored in _inf_files
No more repeated directory traversal inside the loop
6. Throttled UI refreshes
Discovery list refresh throttle: 15s 30s
List display now capped to most recent 100 discoveries (was unlimited)

☺ Expected impact
Regex CPU time: ~90% reduction on large LLM responses
Disk I/O: ~95% reduction (cached instead of re-reading 500+ JSONs)
Sliding-window scoring: ~50-90% reduction depending on text size
Event-loop responsiveness: Much better - other UI tasks and queues won't stall during discovery runs

My interview with Lt. Col Daniel Davis today on his popular "Deep Dive" program which is truly outstanding! We covered the coming FAMINE in great details, and he asked fantastic questions. I can't believe how fast the time went by...

Watch and share:
https://m.youtube.com/watch?v=S5qPBCuD8iY&t=4s

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