Project memory and recall
Move recurring repo knowledge, prior decisions, gotchas, and debugging history into a retrieval layer agents can use before burning fresh context.
Claude Code cost audit
Make Claude Code cheaper by fixing context before usage explodes.
Teams adopting Claude Code and other coding agents often discover the same problem: useful sessions become token-heavy sessions before anyone knows exactly why. You bring the symptoms; the audit finds repeated context, prompt drift, tool overhead, and routing mistakes.
Common drivers
The cost problem is usually architectural.
- Long sessions rebuild the same repository context repeatedly.
- Project rules, architecture notes, and debugging lessons live in chat history instead of durable memory.
- Prompts that worked once are copied by hand or lost across engineers.
- MCP servers expose too many tools, schemas, and descriptions to every task.
- Routine edits route to frontier models when scripts, retrieval, or cheaper models would be enough.
What improves
Less repeated context, more reusable engineering leverage.
Prompt and workflow library
Turn high-performing prompts, review loops, task briefs, and handoff patterns into shared assets instead of private habits.
Repo instructions
Tighten agent instructions so they describe the real working agreement: how to inspect, test, summarize, and avoid wasting context.
Model routing
Separate work that genuinely needs the best model from work better handled by cheaper models, retrieval, deterministic code, or narrow tools.
Audit path
Start with a fixed-scope usage review.
The first package maps current usage and identifies the highest-ROI fixes. If implementation is useful, the next phase can set up memory, prompt storage, repo instructions, MCP cleanup, and routing.
Request audit review