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RAG: how AI answers from your documents
RAG is a way to give the model the knowledge it needs at the moment of the question, without retraining it.
A blog on AI agents and AI-assisted development Code of the Future
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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AI didn’t level programmers. It made the difference more visible
AI really does help a beginner write things that used to be out of reach. But working code isn’t yet a solution to the problem.
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An AI technique: give your solution an oral exam
Studying at the Faculty of Computational Mathematics and Cybernetics at Moscow State University gave me not a set of formulas but a habit: getting a solution isn’t enough — you have to defend it. What are the…
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After 17 years of coding, I state invariants, not the solution
I used to sit down and write the code myself, keeping dozens of “obvious” things in my head: where the contract must not change, what must stay idempotent, which errors must not be swallowed.
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Don’t ask AI to “build the feature” in the first message
When a task touches several files, I first ask the assistant to draw up a map of changes. Not to write code — just to name the entry points, dependencies, risks and order of work.
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Don’t give AI access — grant it in steps
When people say new models are slowed down by safety concerns, they usually imagine a “dangerous intelligence”. In practice the risk is often more mundane: an agent deleted the wrong file, sent the wrong email or…
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First, ask AI to break the solution
When the assistant has written a function, don’t jump straight to the next task. Open a new conversation or set up a separate role: now it’s not the author but a picky reviewer.
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Structured output: when AI answers in a set format
AI usually returns text: useful, but in a different shape every time. That’s a problem for automation: you can’t reliably pass such an answer to a CRM, a spreadsheet or the next step of a workflow.