Software 2.0: Planning and Verifying a Greenfield Project

Aaron on the Web's resource offers insights, tutorials, and resources for software developers and technology enthusiasts. Readers can learn about coding best practices, software architecture patterns, and emerging technologies. With articles, tutorials, and code samples, Aaron on the Web provides  guidance and expertise for building software applications and advancing technical skills.

Aaronontheweb

A detailed case study on building a greenfield SaaS product (TextForge, an AI email automation tool) using LLM-driven development practices the author calls 'Software 2.0.' Key techniques covered include: using Claude Code's planning mode to define requirements and architecture before writing code, providing reference architectures (DrawTogether.NET) to guide LLM output style, creating reusable agent skill files for non-obvious patterns, writing PRDs for feature scoping, and building a verification pipeline with static analysis, automated tests, snapshot testing via Verify, and Aspire MCP-powered browser automation. The post also discusses incremental refactoring to prevent code quality decay and the tradeoffs of LLM-authored tests. The project passed a CASA2 security audit despite being nearly 100% LLM-written code.

Planning mode, reference architectures, agent skills, and verification pipelines — the core techniques for building greenfield projects with LLMs.