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Oliver Stenbom

@oliverstenbom.bsky.social did:plc:3swatbweu77xyfbrj26limwy

Co-founder & CTO of endform.dev. Improving the way we build software with end to end testing & Playwright.

En Bluesky desde el

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Oliver Stenbom (@oliverstenbom.bsky.social) es un usuario de Bluesky que se unió el 2 abril 2025. Tiene 12 seguidores, sigue a 188 cuentas y ha publicado 6 posts.

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  • Alvar Lagerlöf@alvar.dev

    thanks for coming to my ted talk

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  • Alvar Lagerlöf@alvar.dev

    So basically, I think mistakes in context make models: - can't take advantage of translation strengths - puts it into mostly uncharted training data territory - is a form of negation (which seem to work badly) - wastes tokens (always reduces the likelyhood of whatever comes next being good)

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  • Alvar Lagerlöf@alvar.dev

    I've come to believe that LLM context works best if it doesn't have mistakes or backtracking. I edit the original prompt until it gets it right. No follow ups after mistakes or contradictions. It's like I hit rewind with a time machine to go back before the mistake. No recoveries.

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  • Endform@endform.dev

    1/ End-to-end tests are supposed to give you confidence. Instead, many Playwright setups create… chaos. Here’s why (and what to do instead) 🧵

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  • Alvar Lagerlöf@alvar.dev

    :cry:

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