Why Claude Code Gets Slow and How to Fix It

Updated March 2026

Claude Code can feel slower over time for a simple reason: bigger context costs more. Anthropic’s documentation notes that longer conversations and larger codebases increase token usage, and more context means more text for Claude to process on each turn.

That does not just affect cost. It also affects responsiveness. If Claude has to read a long conversation history, broad file context, and repeated tool output before answering, each turn can feel heavier than a fresh, focused session.

What Anthropic documents

Anthropic’s Claude Code docs explicitly recommend a few practices that reduce token load and keep sessions more focused:

• Clear or compact context. Anthropic recommends using /clear between unrelated tasks and /compact to reduce long conversation history.
• Use specific prompts. Narrow requests reduce unnecessary file exploration and token use.
• Break large work into smaller tasks. Smaller, focused tasks keep context cleaner.
• Be careful with parallel agents. Anthropic documents that subagents use their own context window, which increases total token use.

Practical fixes

• Start a new session for unrelated work. This is the cleanest way to avoid carrying stale context forward.
• Use /compact or /clear before context gets too long. Anthropic documents auto-compaction when context exceeds 95% capacity, but waiting that long is usually not ideal.
• Name files directly in prompts. If you know the file path, say it. That reduces exploration.
• Keep prompts narrow. “Update src/auth/session.ts” is better than “investigate auth.”
• Limit parallel agents and sessions. More active work means more total context and more total tokens.

How to check whether this is the problem

If Claude Code feels slower than expected, check:

• How long is the conversation? Long sessions usually carry more overhead.
• How broad is the task? Vague prompts often trigger more reading than necessary.
• Are you using multiple active agents or sessions? That increases total token usage.
• Is the context window getting full? Context Health matters because larger context means more work per turn.

How AI Battery helps

AI Battery does not change Claude Code’s speed directly. It helps you see the conditions that often make sessions feel heavier:

• Context Health shows how full recent sessions are.
• Rate Limits show whether heavy usage is pushing you toward a limit.
• Token Usage shows whether a workflow is using more tokens than expected.

That makes it easier to decide whether to start fresh, compact, narrow the task, or reduce parallel work.

Bottom line

The most defensible explanation is also the simplest one: more context usually means more work per turn. Keep sessions focused, clear unrelated work, use specific prompts, and avoid unnecessary parallel agents if you want Claude Code to stay responsive.