{"id":19897,"date":"2026-06-29T10:04:59","date_gmt":"2026-06-29T09:04:59","guid":{"rendered":"https:\/\/www.20i.com\/blog\/?p=19897"},"modified":"2026-08-06T13:01:06","modified_gmt":"2026-08-06T12:01:06","slug":"link-round-up-012","status":"publish","type":"post","link":"https:\/\/www.20i.com\/blog\/link-round-up-012\/","title":{"rendered":"Link Round Up (012)"},"content":{"rendered":"\n
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Welcome to Link Round-Up, our series where we share the interesting, useful and fun things on the web that caught our eye each month.<\/p>\n\n\n\n

In this edition, we\u2019ve got everything from AI-powered code exploration and personalised search experiments to local-first tools, open-source security work, Linux desktop ambition and a handy way to bring familiar terminal muscle memory to Windows.<\/p>\n<\/div>\n\n\n\n

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If you work in web design then you\u2019ll have inherited client sites where the original developer is uncontactable, the documentation is lacking and a \u201cquick change\u201d request means hours of digital detective work.<\/p>\n\n\n\n

\"Junior\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n

Understand Anything<\/a> immediately makes sense if you\u2019ve ever opened a large codebase and wondered where on earth to begin.<\/p>\n\n\n\n

Instead of leaving you to manually decipher files, functions, classes and comments, projects are turned into an interactive knowledge graph where you can explore the structure, search across relationships and ask questions about how everything fits together.<\/p>\n\n\n\n

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It is especially interesting for developers joining new teams, agencies taking over client projects and anyone trying to make sense of inherited code and fits neatly into the way AI coding tools are evolving.<\/p>\n<\/div>\n\n\n\n

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Have you heard of the Google Personal Intelligence<\/a> experiment?<\/p>\n\n\n\n

iPullRank<\/a> looked at whether personal context from connected Google services could influence AI Mode recommendations and tested whether signals seeded into Gmail and Google Photos changed which brands appeared in personalised AI responses.<\/p>\n\n\n\n

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The results are fascinating and<\/em> unsettling: Gmail signals appeared to have a measurable effect on which brands were surfaced.<\/p>\n\n\n\n

That means AI search may not only be shaped by the public web, backlinks, entities, reviews and content quality – but also by what sits inside a user\u2019s own private context.<\/p>\n\n\n\n

For marketers, that poses significant questions:<\/p>\n\n\n\n