Official best practices for Claude Opus 4.7 in Claude Code: xhigh effort, auto mode, adaptive thinking, batching, and behavioral shifts from 4.6. Read now.
Start with effort, not more prompts
Claude Opus 4.7 in Claude Code rewards deliberate control of how hard the model works on a task. Prefer raising effort—especially to the highest available setting when the problem is ambiguous, multi-file, or failure-sensitive—before stacking more instructions. High effort is most useful when the cost of a wrong edit is high: refactors that touch shared types, migrations, security-sensitive paths, or debugging where the root cause is not obvious. For small, local changes with a clear success check, a lighter effort level keeps the loop faster without much quality loss.
Treat effort as a dial you set per task, not a permanent default. Start high when exploring an unfamiliar codebase or designing an approach, then dial down once the plan is solid and you are applying the same pattern repeatedly. If results feel shallow or the model stops at the first plausible fix, raise effort before rewriting the prompt from scratch.
Use auto mode and adaptive thinking as defaults, then override
Auto mode is the practical default when you want Claude Code to choose when to plan, edit, run tools, and verify without micromanaging each step. Pair it with adaptive thinking so the model can spend more internal reasoning on hard branches and less on routine ones. That combination works well for end-to-end work: implement a feature, run tests, fix failures, and summarize what changed.
Override auto mode when you need strict control. Stay manual when you are reviewing a risky diff line by line, when you want a plan-only pass with no writes, or when tool use should be limited to read-only inspection. Adaptive thinking helps most when the task has branching uncertainty; for mechanical edits with a clear template, explicit short instructions often outperform open-ended autonomy.
Batch work and account for shifts from 4.6
Batch related work into a single coherent request instead of a drip of tiny prompts. Group “add the API handler, wire the route, update types, and add a failing test first” so the model can keep context, naming, and edge cases aligned. Batching also reduces thrash: fewer partial commits, fewer conflicting intermediate states, and a cleaner review surface. Keep batches bounded by a single outcome you can verify—one feature slice, one bug class, one module—not an unbounded “clean up the whole repo.”
- Give the acceptance check up front (tests to run, files that must not change, error messages you already saw).
- Ask for a short plan only when the approach is non-obvious; skip planning theater for trivial edits.
- After a batch lands, re-run the same verification yourself before the next batch.
Expect behavioral shifts from 4.6: Opus 4.7 may plan more carefully under high effort, follow tool loops differently in auto mode, and surface tradeoffs more explicitly when adaptive thinking is on. Revisit old prompt habits that were compensating for earlier models—over-specified step lists, redundant “be careful” boilerplate, or artificially tiny tasks. Prefer clear goals, constraints, and verification; let high effort, auto mode, adaptive thinking, and sensible batching do the heavy lifting in Claude Code.