Claude Code builders... the problem isn't Claude Code limits. it's how you use the tool.

I keep seeing the same take recycled across LinkedIn and Reddit. Claude Code is too slow. The throttling kills momentum. It doesn't work for GTM workloads.

I'm running a $200/month plan. 19 repos. 4,400+ commits. Nearly half a million lines of code. Six full-stack websites, three growth engines, three agent systems, client work, content operations. Multiple terminal panes running simultaneously, all day, every day.

I don't hit limits.

Not because I found some trick. Because I learned the tool.

Most open a session, dump everything in, get bad output, redo it, burn more tokens, hit limits, and blame the platform. The irony is that the rework is what's killing their quota. Bad context creates bad outputs. Bad outputs create rework. Rework burns tokens. Tokens trigger throttling. It's a cycle, and it starts with context.

So I engineered around it. Context is the foundation

/clear and /compact aren't optional.

They're the first discipline. If your context is bloated, everything downstream suffers. Your outputs degrade, your token burn goes up, and you're paying twice for the same mistake.

I use SQLite as a local session cache. Instead of keeping everything in memory, state gets stored locally. The model reads what it needs, when it needs it. This alone cuts token usage dramatically compared to cramming everything into conversation context.

My file taxonomy has clear boundaries. CLAUDE.md files aren't overloaded. Every repo, every context window, every session knows exactly what it's responsible for. The model never has to guess what's relevant.

Context handoffs between sessions

When you're doing GTM work, you're running multiple sessions. One finishes, another opens. If you don't have a handoff system, every new session starts cold. Wasted tokens. Repeated discovery. Slower output.

My sessions each write to their own handoff file. I have 13 of these active right now. When a new session picks up the thread, it reads the handoff from the one before it. No context bleed, no repeated work, no wasted tokens. Even across parallel sessions.

Plan mode first. Always.

Every task starts in plan mode. Every one. I never let the model just start building without alignment first.

Sometimes I take the plan from one session and load it into a separate session for a second opinion before execution. Sometimes I let it run in one shot. That flexibility is the point. But the plan always comes first.

Agents, not monoliths

Research agents. Explorer agents. Sub-agents. All embedded in my workflow. The model delegates instead of trying to solve everything in a single context window. This keeps each session lean and focused.

CLI over everything

I don't use Co-worker. I don't use Cloud for heavy lifting. The CLI has a caching system that's more efficient than anything else in the ecosystem right now. When you're running 8+ hours a day, that efficiency compounds.

Dictation over typing

I use Wispr Flow. I don't type prompts. I speak them.

Two things happen when you do this. You think faster because you're not bottlenecked by typing speed. And you give fuller context because speaking naturally produces more detail than typing ever does.

My prompts are never two sentences. They carry the full picture. What I want, why I want it, what the constraints are, what voice to use, what I've already tried. The model performs better when you give it that level of context, and dictation is how you get there without it feeling like work.

Timing matters

This one is unintentional but real. I'm on terminal at 3 or 4 AM ET. Most throttling pressure hits during business hours. By the time that window opens, I've already shipped the bulk of my day's work.

If you have flexibility in when you work, this is worth knowing. Peak hours are peak limits.

The compound effect

None of these are hacks. They're systems that compound.

Better context → better outputs → less rework → fewer tokens → no throttling → more shipping → better systems → repeat.

The people saying Claude Code doesn't work for GTM haven't built the infrastructure around it. They're using a power tool with default settings and wondering why it's not performing.

19 repos. 1000+ commits. ~465,000 lines of code. Six websites. Three growth engines. Three agent systems. Client deliverables. Content ops. All from terminal. $200/month.

Build the system around the tool. The tool works.

check the https://github.com/shawnla90/gtm-coding-agent

by shawn tenam