A comprehensive 3-part engineering guide for CTOs, VPs, and Engineering Managers: move from shadow AI fragmentation to universal capture, live team spend monitoring, and active token cost optimization.
Zero-code native hooks across Gemini CLI, Antigravity, Claude Code, Cursor, Codex & LiteLLM proxy with pre-execution endpoint DLP secret masking.
Enterprise LLM Gateway, team-scoped keys, and multi-dimensional dashboards with spend attribution by team, developer, model, and repo.
RCLM Signals automated waste detection, 40% active context compression (read cache & test output compact), and private VPC deployment.
The 3-Part Series Curriculum
Universal visibility, zero-code native hooks (rclm-hooks), multi-surface logging (Gemini CLI, Antigravity, Claude Code, Cursor, Codex, LiteLLM proxy, browser tabs), pre-send endpoint DLP secret masking, and structured git file diff replay.
Enterprise LLM Gateway with team-scoped keys, org-wide dashboards with multi-dimensional spend attribution (PostgreSQL materialized views refreshed every 15 mins), role-based access control (Admin, Team Lead, Developer), and compliance audit trails.
RCLM Signals automated workflow waste detection, active context compression (diff-on-change read caching & test output compaction cutting token spend by up to 40%), Model Analysis replay cohorts, AES-256 session encryption, and private VPC deployment.