Maximizing Opus 5.5 in Claude and Claude Code
agents claude
| Source: HN | Original article
A guide shows how to prompt Opus 5.5, steer long runs, and verify results in Claude and Claude Code.
Anthropic has rolled out detailed guidance for developers looking to maximise the new Claude Opus 5.5 model, both in the standard Claude interface and in Claude Code. The documentation, published in late September, explains how to prompt the model, steer long‑running “agentic” tasks and verify outputs, while also flagging four breaking changes that affect code already running on earlier Opus releases.
Opus 5.5 is positioned as a workhorse for extended coding and knowledge‑intensive workflows. Its pricing is set at $4 USD per million input tokens and $20 USD per million output tokens, a rate that could influence budgeting for teams that rely heavily on Claude for automated development or research assistance. The model now enforces “thinking” blocks that cannot be disabled, ties those blocks to the model and conversation context, and returns errors when forced tool use is attempted. A further change concerns the Claude API and Google Cloud integration, where an older “computer_20251124” endpoint is being superseded.
The practical up‑shot for developers is a short checklist: pin the Claude‑Opus‑5‑5 version (2.1.280) as the default in Claude Code, avoid undocumented “/model” flags and follow the new prompting patterns outlined in the platform docs. By adhering to these steps, users can tap the model’s longer context windows and more reliable tool handling without hitting runtime failures.
The rollout matters because it signals Anthropic’s push toward more autonomous coding agents, a trend echoed in recent coverage of AI‑driven development tools. As teams migrate to Opus 5.5, watch for early adoption metrics, any pricing adjustments, and further refinements to the “thinking” architecture that could shape how AI assistants are embedded in software pipelines. Subsequent updates from Anthropic are expected to clarify the remaining API changes and provide deeper performance benchmarks.
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