AI can get you 90% of the way to a spec in seconds
AI-generated specs don’t just save time — they frame the problem. That first frame anchors your thinking, narrows the solution space, and can quietly outsource the highest-leverage part of design.
AI Workflow Architecture
Further reading
AI Workflow Architecture
AI workflow architecture matters because AI adoption fails when tools know the task but not the operating context around it.
I shipped a beta, almost production-grade PWA fast, less than a day
Speed with AI isn’t the hard part. Staying coherent is. Here’s the SR-SI workflow that prevents drift and makes fast builds stay structurally clean.
AI-assisted development breaks around prompt 200, but it doesn't have to
The 200-prompt wall isn’t a model limitation — it’s a memory architecture problem. SR-SI adds an external memory layer to prevent context collapse.
SR-SI in practice: what a context document actually looks like — and what it replaced
A concrete look at how SR-SI works in practice: what the context document contains, how it’s structured, and how it replaces the hidden re-explanation overhead of AI-assisted development.
You don't fix a memory problem by adding more memory
Bigger context windows aren’t memory systems. The fix is structure: a shallow index that points to truth and lets AI re-orient without drowning in history.