prompting-claude-opus-5 changedbuild-with-claude/prompt-engineering/prompting-claude-opus-5
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1515* **Agentic coding:** Claude Opus 5 is strongest on difficult coding tasks: multifile features, larger refactors, and end-to-end feature work. It completes full tasks rather than leaving stubs or placeholders, and it performs best when given the complete task specification up front and left to run. It also performs well on easier tasks such as single-turn edits, where the difference from prior models is smaller.
1616* **Code review and bug-finding:** Claude Opus 5 reviews code with high precision and recall: it finds real bugs at a high rate per pass, and its additional findings are mostly real issues rather than false positives. Accuracy holds at lower effort settings, which supports a fast pass at review time and a more thorough pass later. If your review prompt says "only report high-severity issues" or "be conservative," the model might follow that instruction literally and report less; ask it to report everything and filter in a separate pass instead.
17* **Efficiency at lower effort:** `low` and `medium` [effort](https://platform.claude.com/docs/en/build-with-claude/effort) produce strong quality at a fraction of the tokens and latency of higher settings. Start with the default (`high`) and adjust based on your evals: use `low` and `medium` liberally as your primary control for token cost and response time wherever quality holds, and step up to `xhigh` for demanding coding and agentic work. If you carried effort defaults over from a prior model, re-run an effort sweep on your own evals. See [Effort](https://platform.claude.com/docs/en/build-with-claude/effort#recommended-effort-levels-for-claude-opus-5) for the full recommendations.
17* **Efficiency at lower effort:** `low` and `medium` [effort](https://platform.claude.com/docs/en/build-with-claude/effort) produce strong quality at a fraction of the tokens and latency of higher settings. Start with the default (`high`) and adjust based on your evals: use `low` and `medium` liberally as your primary control for token cost and response time wherever quality holds, and step up to `xhigh` for demanding coding and agentic work. If you carried effort defaults over from a prior model, re-run an effort sweep on your own evals. See [recommended effort levels](https://platform.claude.com/docs/en/build-with-claude/effort#recommended-effort-levels-for-claude-opus-5) for the full guidance.
1818* **Vision:** Claude Opus 5 is strong on chart, document, and diagram understanding, and on UI and frontend visual replication. Re-validate any prompt-side vision workarounds you tuned for prior models; they might no longer be needed. Vision performance is strongest when the model has tools to iteratively analyze, crop, and visually verify its work, and tool use is a more cost-effective lever than thinking alone.
1919* **Long-context work:** Claude Opus 5 has a [1M token context window](https://platform.claude.com/docs/en/build-with-claude/context-windows) as both the default and the maximum, and its instruction following, tool calling, and reasoning stay consistent throughout the window.
2020* **Office and document tasks:** Claude Opus 5 generates and works with complex, multisheet spreadsheets with non-trivial formulas, and it produces well-structured slide decks. Prompt it with any specific styles or templates it needs to follow.
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