Every day I write in my Telegram channel about how AI is changing software development: techniques for working with AI, breakdowns, “build it in an evening” ideas and lessons from projects. All the channel’s posts are here. The channel is in Russian; posts not yet translated are marked “Russian only”.
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I write every day: if I can’t explain an idea briefly in a post, it means I haven’t figured it out myself yet.
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A screenshots folder quickly turns into a digital junk drawer: a receipt, a console error, a recipe, an important screen from an app. Build a script that sorts copies of the files into folders and gives them clear names.
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Today a product is a set of pre-drawn screens. The team tries to guess: which button to place, which filter to add, in what order to show the steps.
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The most expensive AI mistake isn’t a syntax error. It silently picks an interpretation where the task is ambiguous.
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An embedding is a way to turn text, an image or another object into a set of numbers so that things similar in meaning end up close together.
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AI has brought the cost of the first solution almost to zero. In a minute you can get five ways to write a parser, a database schema or an integration.
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It’s easy to believe: a big model usually writes more confidently, knows more patterns and explains the solution more nicely. It seems all that’s left is to pick “the smartest one”.
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AI is especially useful where a problem is hard to put into words: a strange log, a rare bug, an obscure piece of old code. But in debugging it’s easy to get a plausible explanation of the cause and spend an hour…
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I passed the Database Technologies exam at Moscow State University, Faculty of Computational Mathematics and Cybernetics, with an excellent grade :))
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I don’t see vibe coders without experience as serious competitors. They can quickly get a first working version. But in real work the value is understanding what must not break and noticing a failure before the user…
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The point of Daybooster isn’t to make yet another to-do list. Lists usually exist already. The problem is different: in the evening there are ten tasks in your head, and you don’t feel like starting any of them.
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I think that in the coming years a product’s value will be determined not by how nicely it answers, but by whether you can safely entrust it with an action.
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When I ask the assistant to write SQL, I first give it not the whole task but a small slice of data: the table schema and a few rows, including edge cases.