Tokenmaxxing: My Claude Code Workflow

Want to master Clean Architecture? Go here: https://dub.sh/clean-architecture Want to master Modular Monoliths? Go here: https://dub.sh/modular-monolith Join the .NET Architects Club: https://www.skool.com/mj-tech-communi... Get the 2026 .NET Developer roadmap here → https://the-dotnet-weekly.ck.page/202... At API rates, last month of AI coding would've cost me ~$1,850. I paid $100 — and this is the exact workflow. In this breakdown I get into "token maxxing": how I push a $100/month Claude Code plan to its limit by treating coding agents like a real software team. I cover writing a design doc first, splitting features into subtasks, running 5–10 agents in parallel across git worktrees, and using the goal command with constraints (passing tests, clean pull requests) to keep the AI from producing slop. I also get into Claude Code Skills, CLAUDE.md and AGENTS.md, hooks for pre-commit testing, the RAM upgrade I was forced into, and whether self-hosting local models is worth it yet. Who it's for: developers using Claude Code or any coding agents who want a faster, more deliberate AI coding workflow — and anyone curious about the real economics behind subsidized token usage while it lasts. Check out my courses: https://www.milanjovanovic.tech/courses Read my Blog here: https://www.milanjovanovic.tech/blog Join my weekly .NET newsletter: https://www.milanjovanovic.tech Chapters