My Software Factory

The Story Behind the System

This isn't a theoretical exploration of AI possibilities. It's a first-person account of what happens when an experienced, skeptical engineer decides to push AI-assisted development past the demo stage and into real production systems.

I started where most engineers start: manually prompting LLMs, reviewing generated code, patching bugs, and spending more time debugging AI output than I would have writing code myself. The "no-code revolution" looked more like a new kind of tedious labor.

But something kept me going. Not the hype, not the promise of effortless development—but the glimpses of something genuinely different. What if the problem wasn't AI capability, but how we were using it? What if we stopped treating LLMs as fancy autocomplete and started treating them as programmable infrastructure?

The Journey

This series traces my evolution through five distinct phases:

1. The Manual Reality — Using LLMs as coding assistants, discovering they're fast but flawed, spending hours debugging generated code
2. The LLM Taskmaster — Building an army of specialized AI checkers to validate generated code, creating coordination overhead that made things worse
3. The Generator Epiphany — Realizing that code generation from formal specifications sidesteps the ambiguity problem entirely
4. The Factory Awakens — Building a complete software factory: DSLs, generators, and orchestration
5. The Movie Night MVP — Putting it all to the test: generating a complete streaming platform from specifications
6. The Next Frontier — Where this leads: self-evolving systems, living architecture, and what "software engineering" means when machines do the engineering

What Makes This Different

This isn't about prompting techniques or which AI coding assistant is best. It's about fundamentally rethinking the software development stack. What if you could:

• →Define your entire application—data models, APIs, UI, infrastructure—in generative domain languages
• →Generate production-ready code for any platform (TypeScript, Java, Python, Go, Swift)
• →Validate everything before writing a single line of implementation code
• →Evolve your system by changing specifications, not hunting through codebases
• →Go from idea to deployed application in under 8 minutes

That's not science fiction. That's what I built. This series shows you how, and more importantly, why it works.

Who Should Read This