The default advice on Claude Code efficiency amounts to dumping a prompt and crossing your fingers, which is how you end up with broken logic and half-baked hooks that drag performance down. Developers get frustrated when their agent falls over on a complex task, but most of them are talking to a very capable agent as if it were a chatbot.
Fourteen years of WordPress and WooCommerce have shown me checkouts break in ways you would not believe. The last one that got me was a legacy transient-heavy caching layer I asked an agent to refactor. It failed three times, because I had never aligned our mental models before letting it start. One-shot results come from treating the LLM as a colleague.
Aligning on the plan first
Alignment is where Claude Code efficiency actually comes from. No agent can guess your architectural preferences, so use planning mode before it touches a line of PHP and talk through what you are building and what context it needs to have.
On complex WordPress builds I split the work across agents. Gemini Deep Research is better at the initial planning, so I have it produce a technical outline and feed that into Claude. The agent then stops guessing about hook priorities and database schemas. If you are already in this ecosystem, my guide on simplifying AI WordPress plugin development covers how to lay that groundwork.
Give the agent a browser and let it test
One-shotting is a verification problem as much as a writing problem. An agent that cannot see the result is flying blind. I give my Claude instance browser access through the Playwright MCP, so it can spin up a headless browser, poke at the UI and fix its own bugs before I have even looked at the terminal.
One command sets it up:
claude mcp add playwright npx @playwright/mcp@latestFrom there Claude does its own QA, and that is where the time comes back. The CSS collision or the JS error surfaces during implementation instead of landing on me afterwards. It trades a little execution speed for verified code, and Claude Code efficiency climbs because five manual iterations turn into one.
Persistent memory via claude.md
Every dev has habits. Early returns in PHP functions, a naming convention for WooCommerce filters, whatever yours are. Nowhere to store them means explaining them again next session. That is what claude.md files are for.
I keep two kinds of knowledge file:
- Project knowledge: the site architecture, custom database tables, legacy API endpoints.
- User knowledge: my own coding standards and the gotchas I want avoided.
I run a command at the end of each session to have Claude update both files, so it starts the next one already knowing I hate unnecessary dependencies. More on that in how to make Claude Code improve from its own mistakes.
If Claude Code efficiency is eating your dev hours, I can take it on. I have been wrestling with WordPress since the 4.x days.
What this looks like in practice
The agent is not a black box you feed prompts to. Add a planning phase to your workflow, give it Playwright so it can check its own work, and write down your preferences so you never explain the same refactor twice. That is most of the distance between three failed attempts and one that lands.
