A Claude workflow that splits coding work to save tokens
Claude-assisted software development is organized into separate stages: , coding, testing, review, and security checks. Stronger s handle planning and review, while smaller models can handle to reduce cost.
can divide work by role, such as design, debugging, and s. The workflow is aimed at people with little coding experience who want to build an app, such as an ERP system, from scratch with AI help.
It also includes manual testing, AI-based testing, GitHub , and a final . It is rated as intermediate level, with a workflow score of 80 out of 100 and freshness of 70 out of 100.
Key points
- Use stronger s for planning and review, and smaller models for coding tasks.
- Split work across for design, debugging, and quality control.
- Help less experienced builders move through a large software project in smaller phases.
- Include manual testing, AI testing, GitHub , and .
- The workflow focuses on token saving, context handling, and quality control.