According to Avi Chawla (@_avichawla) on X, swapping in Insforge Skills + CLI as a local backend context-engineering layer for Claude Code cut token usage from 10.4M to 3.7M (≈3x reduction), eliminated 10 errors to 0, and reduced cost from $9.21 to $2.81 in one change; as reported by the linked GitHub repo InsForge, the open-source framework orchestrates reusable Skills to streamline tool-aware prompts and context routing, which can lower LLM context bloat and inference spend for software engineering workflows. According to the X post and repo, the approach suggests immediate business impact for AI coding agents: reduced prompt budgets, higher reliability, and better latency via tighter context construction and local execution. As reported by Avi Chawla, developers can reproduce the gains using the InsForge repository for Claude Code to implement deterministic context pipelines and skill chaining for code tasks.