Use Case Studies
Explore how teams leverage local AST relational lookups to scale context efficiencies.
AI Coding Agents
Coding agents often query wide scopes, loading massive file volumes into prompt context. CostAffective intercepts calls, statically locates exact symbol references, and returns only logical bounds, saving up to 45.9% in token expenses.
Read integration guide →Large Monorepos
Standard regex grep scanners choke on monorepos with thousands of files. CostAffective utilizes fast SQLite b-tree indexes to query symbol locations, returning matches in microseconds without scanning disk directories on every query.
Read integration guide →Code Reviews
Understand the impact of incoming commits. CostAffective traces function caller hierarchies, indicating which structures depend on changes to help developers audit side-effects.
Read integration guide →Repository Audits
Verify architectural health and validate implementation standards. The get_repository_summary tool reports file distribution, language split ratios, and missing implementations.
Read integration guide →MCP Development
Serve as an outstanding reference model for developing custom local tools. Learn stdio protocol handshake, system fsnotify watcher setups, and tree-sitter relational mapping.
Read integration guide →