Simon Willison

Quoting Kyle Kingsbury

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The article discusses how large language models (LLMs) undermine trust in documentation, software, and the organizations that produce them, making it easier to counterfeit signals of a mature system. It questions what maintainers can do to ensure software correctness and accurate documentation in the age of LLMs, and how they can demonstrate this quality to users.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Simon Willison.

Simon Willison
Aug 19

Quoting Jeremy Morrell

My hypothesis is that there is a new opportunity for Extensible Software on the web . LLMs radically lower the cost of authoring extensions, and modern sandbox primitives lower the deployment cost and provide good security boundaries.

Simon Willison
Aug 26

Quoting Paul Dix

The article highlights Paul Dix’s astonishment that AI was able to generate one million lines of code and then refine it over several months into a reliable software product now used by millions of developers. Dix argues that this achievement is far more impressive than merely translating code between languages, emphasizing that with a verification system and clear guidance, AI can produce and iteratively improve highly complex, sophisticated software until it functions perfectly.

Simon Willison
Sep 11

Quoting Boris Cherny

The article discusses how production code generated by Claude, Anthropic’s AI, should meet higher standards than human-written code. Anthropic enforces this through numerous guardrails such as lint rules, extensive testing, Claude-driven end‑to‑end tests, daily fuzzers, automated code and security reviews, and automated refactoring. These measures aim to prevent the code from becoming difficult to maintain.

Simon Willison
Oct 22

Quoting Armin Ronacher

Simon Willison reflects on the long history of flawed software development, noting that the proliferation of bad code over the past three decades is now being penalized by the universe. He cites Armin Ronacher’s perspective that the rise of AI, while entertaining, has amplified the consequences of these past mistakes. The piece underscores the growing importance of addressing security and reliability in the age of generative AI.

Simon Willison
Oct 7

Anti-Patterns in Software Blogging

The article "Anti-Patterns in Software Blogging" highlights common pitfalls in technical writing, such as meandering introductions, overestimating readers’ prior knowledge, and overusing links to avoid explanations. It emphasizes the importance of a clear, conversational voice and warns against the blandness that can arise when developers rely too heavily on AI-generated content. The piece urges bloggers to write in a natural, engaging style to better connect with their audience.