I spent months trying to speed up Claude Code with config, a better CLAUDE.md, and sharper prompts. All of it helped a little. The thing that actually moved the needle was almost embarrassingly simple. While an agent is generating, my brain is doing nothing. I would watch the output scroll. It feels like supervising. It isn’t. The response is the same whether I watched it land or not. That idle time, multiplied across a day, is enormous. So the question stopped being “what is the next step” and became “what could be running right now that isn’t.” I went from one session to running a lot of them in parallel. The cap turned out not to be the agents, it is how many streams of output my attention can actually review. The other three things I now watch for, each a habit rather than a tool: copy-pasting between tools, wire it up instead (MCP or a CLI) re-running the same sequence of steps, make it a script or skill re-typing the same context, put it in CLAUDE.md or a skill But parallelism was the real multiplier. The first three make one task cheaper. Parallelism removes the limit of one task at a time. How many parallel sessions do people here actually run day to day? I am curious where the realistic ceiling is, and whether it is review bandwidth or something else. Full write-up with the framework if useful: https://karanbansal.in/blog/speed-up-ai-era/ submitted by /u/karanb192
Originally posted by u/karanb192 on r/ClaudeCode