Extensible Software in the age of LLMs

7.8 relevance

Essay on extensible software in the age of LLMs directly addresses AI's impact on software architecture.

AI/ML jeremymorrell.dev

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Why It Matters

For a solutions architect focused on developer experience and platform engineering, this shifts the design paradigm from building monolithic features to creating extensible cores that leverage LLMs for user-driven customization, directly impacting how you architect SaaS platforms and internal tools.

Key Takeaways

Evaluate your current web app for a 'self-extension' pattern using LLMs and sandboxed execution (e.g., Cloudflare Workers) to offload long-tail feature requests to users.

Extensible Software in the age of LLMs | Jeremy Morrell

Summary

LLMs radically lower the cost of building custom software extensions, enabling a new class of extensible web apps where users can personalize behavior through natural language requests. Current web software serves the top of the demand curve but leaves a long tail of unmet needs; LLM-native platforms like Pi demonstrate a pattern where a solid core is endlessly customizable by asking. Cloudflare's Dynamic Workers and modern sandbox primitives provide the security and deployment infrastructure to make this safe and scalable on the web.

Author

Jeremy Morrell