Tagged: tooling
Showing 31–35 of 41 articles
Karpathy's Wiki, OpenBrain, and Picking a Context Layer for AI Two memory models for AI work. One synthesises on write, one on query. Which to pick depends on whether you're a solo researcher or running multi-agent. Read article OpenUISpec and the Case for Telling LLMs What's On the Page A spec for AI-readable component libraries. The same idea would cut the cost of scraping the web in half, if anyone published it. Read article Six Ways to Give an AI Agent a Map of Your Code Prowl, CodeBoarding, Memgraph GraphRAG, CodeGraphContext, SymDex, and jCodeMunch all solve the same problem differently. So does ilo graph. A comparison. Read article jCodeMunch: Use 80% Less Context jCodeMunch-MCP uses tree-sitter AST parsing to build a symbol index of your codebase, letting AI agents pull individual functions instead of whole files. The token savings are significant. Read article --explain: Reading a Language You Don't Know ilo's annotation tool shows the structural role of every statement. Built for agents, useful for humans too. Read article