I accidentally turned LLM memory into program analysis
Why CEREBRO kept it
LLM memory applied to program analysis.
The text below is an automated extraction of the article at https://pwning.systems/posts/llm-memory-program-analysis/, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (pwning.systems).
I accidentally turned LLM memory into program analysis Over the past few months I have been playing around quite a bit with LLM agents, particularly for vulnerability research. They are becoming surprisingly good at navigating large codebases, explaining unfamiliar subsystems and helping explore potential attack surfaces. However, once an investigation starts taking a few hours, I kept running into the same problem: the model would slowly lose track of what we had actually established. It might suggest an approach that we had already ruled out, forget that an assumption turned out to be false,
Community take
Datalog-based fact indexing enables mechanizable program analysis without LLM reasoning chains, reviving classical symbolic AI for practical code debugging.
Backlinks
Appeared in 1 briefing
Related
Shares tags: ai/agents · ai/llm-mechanics · cerebro/signal
Also from pwning.systems
Only signal from pwning.systems so far.