Search Results for "dump analysis"

LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. This makes queries and analysis much faster and cheaper, with dramatic token savings and latency improvements for LLM-driven development workflows. ...

Do you have a haystack (legacy) of Excel files that reference each other and you can't see clear anymore? This tools crawls Excel files and builds up a visual graph. It shows which files might be outdated because they reference a file which was modified more recently. The graph is dynamic, you can choose between different layout algorithms and rearrange by hand. Allows you to quickly open the file, dump the graph, dump all links within a file, highlight all the cells that reference other...

BigPlg allows the collection of the IPv4 Internet routing table which may be viewed by service providers and/or ISP customers to validate IP routing across autonomous systems. Routing updates may also have attributes aliased to become (graph) readable. This function exists to allow the exporting of RIB updates to Splunk, or any such data collector. A beneficial side-effect of collecting BGP routing information is the ability to track BGP updates/events local or remote(upstream). To analyze...