LLMs turn static software into something users can extend by asking

Extensible Software in the Age of LLMs

Jeremy Morrell argues that most web apps only serve the top of the demand curve, leaving a long tail of unmet needs. LLMs now let users “speak code into existence,” so a product can keep a stable core while AI-generated extensions cover the long tail. He points to Pi and DeepSeek Harness as early examples: users ask for a feature, the system writes a TypeScript extension and hot-reloads it. The post then focuses on how to bring this to the web—traditional webhooks set the bar too high; sandboxed runtimes like Cloudflare Dynamic Workers could let non-developers safely run custom logic. No timeline or performance numbers are disclosed; the piece is a product-direction argument.

Why it matters: Opinion piece backed by two named product examples, not empty theory. Hits all three HKR axes but is more 'thought-provoking' than 'industry-shaking,' so placed at the lower end of the 72–77 band per policy.