How to Use OpenClaw with Claude Code

OpenClaw and Claude Code are a good pair when you want one system to manage context and another to focus on code. OpenClaw remembers the surrounding project rules, channel expectations, and follow-up obligations. Claude Code does the implementation work. That separation matters because it keeps engineering automation from turning into a giant chat thread with no process.

Let OpenClaw stay the operator

The cleanest setup is giving OpenClaw the job of planning, approval handling, memory updates, and result reporting while Claude Code handles code edits inside the repo. That means OpenClaw reads CLAUDE.md, gathers the change plan, and delegates only after the scope is precise.

• Planning and repo context live in OpenClaw so the coding agent gets a tight brief.
• Implementation and diff generation live in Claude Code where terminal coding tools are strongest.
• Status updates and approvals stay routed through OpenClaw so humans are never guessing.

That division of labor feels a lot more stable than asking one agent to explore, implement, explain, and socialize everything at once.

Use the supported execution pattern

Claude Code works best in the documented non-PTY mode. Keep it in the target repo, not your global OpenClaw state directory, and give it a concrete task. The prompt should already include the change plan, test requirements, and any thread routing rules that matter to the parent workflow.

cd /path/to/project && claude --permission-mode bypassPermissions --print 'Implement the approved change plan, run tests, update CLAUDE.md, and report the commit hash.'

The key thing is that OpenClaw should do the thinking about process first. Claude Code should wake up inside a clearly bounded task, not a vague research mission.

Give it a blueprint, not a wish

A strong OpenClaw prompt for Claude Code names the exact files, the behavior to preserve, the tests to run, and the message format for completion. That reduces exploration time and lowers the chance of the coding agent “helpfully” drifting into adjacent files nobody asked it to touch.

Repo: /path/to/project
Task: Apply the approved change plan exactly.
Constraints: do not change unrelated files, run the required test/build commands, update project task tracking in the same commit, and return a short summary plus commit hash.
If work is thread-bound, post completion only to the specified thread context.

That is the difference between productive delegation and paying an agent to rummage around your codebase looking inspired.

Where the pair is strongest

• Medium-size feature work where OpenClaw plans and Claude Code executes against a precise brief.
• Bug fixes that need repo context, test execution, and a clean human-facing status update.
• PR review or follow-up tasks where the operator agent keeps the process tight and the coding agent does the edits.
• Slack or Discord work queues where OpenClaw routes thread updates while Claude Code stays inside the terminal lane.

Once you separate orchestration from implementation, the whole engineering workflow gets calmer. Humans know who is responsible for what, and the logs make more sense too.

Guardrails for delegated coding

Keep repo boundaries explicit, timeouts realistic, and result formats boring. I would also require build or test commands whenever the change touches behavior. Coding agents are powerful, but trust comes from repeatable hygiene, not vibes.

• Never launch the coding agent inside ~/.openclaw or another stateful control directory.
• Require a concrete change plan before delegation, including files, tests, and regression risks.
• Make completion messages include what changed, build result, and commit hash in a fixed format.

With Claude Code, the rollout pattern matters more than the API call. Start with one recurring deliverable, publish it somewhere humans already pay attention, and spend two weeks checking whether the output changes behavior. If nobody acts on the summary, the problem is usually not Claude Code. It is the packet shape. Tighten the destination, the owner, and the question being answered. Once the first loop is trusted, then add alerts, handoffs, or draft write actions. That staged approach is a lot less flashy, but it is how Claude Code becomes part of real operations instead of another abandoned integration.

One more practical note: give the workflow a clock. Daily, weekly, or post-launch rhythms matter because humans trust systems they can anticipate. When the Claude Code brief lands at the same time, in the same shape, with the same owner attached, the team starts making decisions from it instead of treating it like extra reading. Predictability is underrated infrastructure.

If you want OpenClaw to orchestrate coding work without becoming chaos in a terminal costume, The OpenClaw Playbook goes deep on that operator pattern.