Programming Tutorials

  You installed the Claude Code CLI, authenticated with your API key, and successfully ran a simple prompt. It works great for one-off refactoring tasks or explaining a regex string. But when you attempt to implement the much-hyped "Claude Squad"—a workflow involving multiple specialized agents (Architect, Reviewer, Coder)—the documentation evaporates. Most developers hit a wall here. They try to stuff multiple personas into a single system prompt, leading to context drift and degraded code quality. Or, they manually copy-paste outputs between terminal windows, defeating the purpose of automation. This guide provides a rigorous, programmatic approach to setting up a multi-agent orchestration layer on top of the Claude CLI (via the SDK). We will move beyond basic chat loops to build a deterministic "Squad" pipeline. The Root Cause: Why Single-Session Agents Fail The struggle to configure multi-agent workflows usually stems from a misunderstanding of  Context Window T...

  Nothing breaks a production release faster than a third-party dependency failing under load. If you are integrating Anthropic’s Claude 3.5 Sonnet or Opus into your backend, you have likely encountered the infamous   overloaded_error   (HTTP 529) or the   rate_limit_error   (HTTP 429). These errors are not standard crashes; they are signals of congestion. When handled poorly, they cause cascading failures in your application. When handled correctly, they are mere latency hiccups that your users never notice. This guide provides a production-grade strategy for stabilizing your Python backend against Anthropic API volatility using exponential backoff, jitter, and the  tenacity  library. The Root Cause: Why 529 and 429 Errors Occur Before applying the fix, we must understand the mechanics of the failure. This ensures we treat the disease, not just the symptoms. The 529 Overloaded Error An HTTP 529 error means Anthropic's compute clusters are temporarily ...