Practical Claude Code best practices covering context discipline, MCP tool hygiene, governance, and observability with Bifrost as the platform layer. The patterns that make Claude Code best practices effective have changed quickly as the tool moved from solo experimentation into day-to-day engineering work. Anthropic's terminal agent autonomously edits files, executes shell commands, and reasons over a codebase, so the workflows a single developer relies on for a weekend project tend to break the moment a hundred engineers run the same agent across multiple repos and providers. Teams that scale Claude Code without surprises start treating it as infrastructure rather than a chat assistant. They put real effort into context hygiene, MCP tooling discipline, governance, and observability. Sitting between Claude Code and your underlying LLM providers, Bifrost , the open-source AI gateway built by Maxim AI, supplies the control plane that the agent does not ship with natively.…