The metric that matters isn't tokens saved — it's how often the agent actually completes the work. On a real Vue+Firebase production codebase, jCodeMunch raised task completion from 72% to 80% and dropped timeouts from 40% to 32%.
Most developers don't personally pay the bill. They care that the agent finishes the ticket without going to mush halfway through, that the PR comes back without three retries, and that the senior engineer doesn't have to babysit every refactor. A higher completion rate is a throughput multiplier — it shows up in cycle time, not just usage dashboards.
jcodemunch-mcp init on every dev machine. Auto-detects Claude Code / Cursor / Windsurf, writes config, installs hooks, indexes the repo. Devs can't fight a 60-second setup.
PreCompact and session-memory hooks preserve context across long tasks. The agent stops "forgetting" what you just told it at message 30.
get_blast_radius, get_pr_risk_profile, check_rename_safe, get_layer_violations. Senior-engineer judgment, codified into tool calls.
audit_agent_config inspects what your team is already paying for — tool schemas, MCP server bloat, redundant context. Surface the leak before you spend on training.
All three munchers conform to the published Apache-2.0 jMRI spec. No vendor lock-in. Your team's investment in retrieval discipline outlives any one tool.
Not a hobby project. INDEX_VERSION 9 is fully backward-compatible with v1 indexes from February. We do not break our users.
"Roughly 5× more efficient context retrieval."
"Preserves your context budget for actual reasoning."
"Structural questions you simply can't ask Grep or Glob."
"The whole game is what you choose not to put in the prompt."