I spent almost a week working with Claude Opus 4.7 and used around 1B tokens. For me, the biggest improvement is not only code quality, but planning quality.
Compared with previous models, Opus 4.7 produces more structured, deeper, and more useful implementation plans. It can work across complex codebases, reason through multi-step changes, and generate code that more often passes linters, integration tests, and review gates on the first run.
What makes it fantastic is that it changes how you work. You are no longer only asking the model to write small functions or boilerplate. You can ask it to plan and execute larger engineering tasks. For senior engineers, this shifts the work from writing every line of code to setting direction, defining guardrails, reviewing outputs, and protecting critical areas like authentication, permissions, JWT flows, and security-sensitive logic.
It feels like another step toward the agentic software development workflow.