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Use AI tooling as part of your normal working day, and take full ownership of everything it produces. Review it properly, understand it, and be able to defend it in a code review.
Think in terms of workflows rather than single prompts. That means investing in the context these tools work from, whether that is repository level instructions, reusable skills or a shared knowledge base, so the output stays consistent and other people can rely on it. For example, utilising and contributing to our DevOps and testing skills to ensure features work end-to-end.
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Bring ideas on where AI makes front-end work more scalable. Turning designs into components, keeping interfaces consistent across a large monorepo and taking the repetition out of building screens are all areas we are actively interested in.
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Independent financial services firm helping private capital managers manage market risk and fund finance with technology.
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