
Claude Code Context Window: 200K vs 1M — Which Do You Actually Need?
The 1M context window sounds like it solves everything. In practice, context quality matters more than size. Here's when 200K is actually enough.
Deep dives into AI coding agent features, workflow patterns, and session management.

The 1M context window sounds like it solves everything. In practice, context quality matters more than size. Here's when 200K is actually enough.

Claude Code invents file paths that don't exist when it lacks codebase structure. A dependency graph eliminates path hallucinations by providing verified references.

Monorepos confuse AI agents with cross-package dependencies. Set up Claude Code to understand your monorepo structure and serve the right context per task.

Refactoring 500+ line files with Claude Code usually fails midway through. The fix: scope the context, break the work, and let the dependency graph guide it.

Most developers debug with Claude Code wrong — vague prompts, full file dumps, long sessions. Here's the focused debugging workflow that finds bugs faster.

New to Claude Code? Go from zero to productive in one session. Install, configure, understand the key commands, and set up your first optimized workflow.

Subagents let Claude Code delegate work to specialized child agents. Learn to create, configure, and optimize subagents for parallel coding workflows.

MCP servers extend Claude Code with new capabilities. Set one up in under 5 minutes with this step-by-step guide covering config, tools, and testing.

Claude Code slows down on codebases over 100K lines. The root cause: blind file exploration that fills the context window with noise.