Python
How to Stop Burning Thousands of Dollars on Tokens When Working with AI Agents on Code
jCodeMunch MCP indexes your codebase with tree-sitter and feeds AI agents only the relevant code snippets, cutting token costs by 95–99%.
#code-intelligence
4 projects TypeScript
How to Stop Drowning in Someone Else's Code and Start Living with Sourcebot
Sourcebot is an open-source self-hosted tool that indexes your repositories and answers questions about your codebase in natural language, citing specific code lines.
Python
How to Stop Feeding LLMs and Teach Agents to Understand Your Code
I tried Memtrace — a tool that turns your codebase into a knowledge graph for AI agents, indexing 15,000 files in 1.5 seconds without LLM calls.
C
How to Make an AI Agent Work with a Massive Legacy Codebase Without Losing Context or Money
Discover how to make AI agents work with massive legacy codebases without losing context or burning through your token budget. A deep dive into codebase-emory-mcp.
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