Haven't tried the worktrees thing yet but I'm trying a bunch of sandboxes – Docker and Apple Containers and GitHub Codespaces so far
@simonw
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AI-Assisted Programming: Beyond Vibe Coding Criticism
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I've been doing the same, and writing about it online since 2022 https://
simonwillison.net/tags/ai-assist
ed-programming/
… I doubt that's what people who are blaming the Tea incident on "vibe coding" mean -
Bypassing AI Safety Features: Claude and Codex Dangerous Flags
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I wrote this about my own process a few months ago, but it needs an update now I've started embracing "claude –dangerously-skip-permissions" and "codex –dangerously-bypass-approvals-and-sandbox"
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Misconceptions About Software Development Practices Ignored
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Yeah, those people have no understanding of what software development actually involves, I try to ignore them
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Vibe Coding and AI-Assisted Programming: Understanding the Difference
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Vibe coding and AI-assisted programming are not the same thing
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LLMs Generate Code Without Review: 2025 Term Explained
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The term was coined in February 2025 to mean generating code with LLMs without reviewing the code that was produced The models from 2023 and early 2024 weren't good enough at coding for that approach to be feasible
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LLM Code Generation Without Review: 2025 Term
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The term was coined in February 2025 to mean generating code with LLMs without reviewing the code that was produced The models from 2023 and early 2024 weren't good enough at coding for that approach to be feasible
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MLops and model production challenges at scale
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I guess MLops is one relevant term here? OpenAI still call the model building teams "researchers" but I'm not sure how they classify the teams that do the enormous work needed to get those models into production
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LLM Development Falls Within Machine Learning Research Discipline
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Actually developing LLMs themselves falls more into the existing discipline of machine learning research and engineering
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AI Engineering Establishes itself as distinct field from prompt engineering
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I think AI Engineering is already quite well established as meaning what you're trying to use context engineering for (building apps on top of LLMs), thanks to things like the AI Engineer summit/world's fair