v1.02

What's New

Knowledge Base

• Community-contributed knowledge base for sharing optimization techniques, experiment results, and lessons learned from AAE sessions
• Agents can fetch and search the knowledge base from GitHub to inform hypothesis generation
• Contributors submit entries via PR (one entry per PR, with INDEX.md update)
• Three example entries included (blocked sorting, gradient accumulation, arena allocation)

AAE Program Enhancements

• User assertions: The agent now formulates correctness invariants from the code and presents them to the user for confirmation during setup. Assertions are checked after every change, before benchmarking.
• Subcomponent replacement: Explicitly allows replacing entire algorithms, data structures, or modules (not just incremental tuning) when the analysis supports it.

Housekeeping

• Moved image files to img/ folder
• Added knowledge base banner image