Devlog#21 - Greeting Everyone!

TL;DR -

Repository analysis is now persisted, freshness-aware, and capable of selectively invalidating stale data instead of rebuilding everything.Cache invalidation and refresh behavior are deterministic, validated, and comprehensively tested.

Long -

Today I implemented the cache thing for my project. my ool works by mapping a repo and giving context to the user for user to give to AI agent for a work. SO for storing data i use SQLite but making rep data everytime will take a lot of time. So i introduced caching fo data and will refresh in sometime and can be refreshed manually also.

Things did :

• added cache freshness checks for missing metadata , schema/analyzer version , missing fingerprints and file changes

• added deterministic file fingerprinting using size, modification timestamp and SHA-256 content hashes

• added selective invalidation for afected files, symbols, and relationships while preserving unaffected analysis

• added full cache invalidation for cases where existing analysis can no longer be trusted.

• Added cache refresh orchestration

• finally added tests for the same

So this much today . Leave ur thoughts in the comments and like it