From the team

Laraue Blog — .NET, Nuxt, Telegram Bots and AI Workflow

Real code, real decisions, real tradeoffs. We write about what we build — .NET libraries, Telegram bots, AI integrations, and the architecture mistakes worth learning from.

All 30Articles 22Projects 8
Article8 min read
How we run our backlog in Boards with Claude Code over MCP
We built an MCP server for Laraue Boards to understand how MCP works, then started using it with Claude Code every day. How the first version came together in two hours, what was wrong with it, and the daily loop it made possible.
devlogaitask-trackerdotnet
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Article7 min read
Why reviewing AI-generated code is often more expensive than writing it yourself
The modern approach to development increasingly comes down to one claim — AI should write the code, and the developer just steers it and checks the results. The fact that reviewing generated code well enough to trust it is often slower than writing it yourself gets quietly left out.
aiarchitecture
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Article4 min read
Prototyping the interface with AI before writing code
Part 2 of building a Telegram task tracker solo. Why we start with the interface, how AI HTML prototypes replaced Figma, and how the first Laraue Boards prototype turned out.
devlogproductai
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Article10 min read
How we build — engineering principles for working on real products
The engineering principles Laraue projects follow — start from the user path, do not overcomplicate ahead of time, split logic into layers, isolate third-party integrations, and where AI helps and where it is not allowed near the codebase.
devlogarchitectureai
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Article6 min read
How we decide what to build — validating a product idea in a crowded market
Validating a product idea before writing code — researching the market, testing the idea in public, and using AI to judge whether it is realistic to compete for the keywords you need.
devlogproductai
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Article16 min read
Building an AI-Powered Real Estate Ranking System with C#, Ollama, and a Custom Crawler
A technical deep-dive into an open-source real estate aggregator for Saint Petersburg — covering the C# / .NET 10 architecture, Ollama vision model integration, custom crawler design, and the ideality scoring formula.
dotnetaicrawlingreal-estate
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Article11 min read
Using Ollama in C# and .NET — Local LLM Integration With Structured Output
How to integrate Ollama with C# and .NET — native HTTP API, structured JSON output, vision model image analysis, and a typed NuGet adapter that generates schemas from C# classes automatically. No cloud API required.
dotnetaiopen-source
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Project6 min read
AI Apartment Search for Saint Petersburg — Ranked by Photo Quality
Stop scrolling bad listings. This free tool crawls Saint Petersburg real estate and ranks every apartment by renovation quality using AI photo analysis. Filter by district, price, rooms, and AI score. Get Telegram notifications for new matches.
aicrawlingreal-estate
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Article9 min read
Building a Vocabulary Learning Telegram Bot with C# and .NET 10
A technical deep-dive into the architecture of an open-source Telegram vocabulary bot — covering the C# / .NET 10 stack, AI-powered auto-translation pipeline, data model, and local development setup.
dotnettelegramailanguage-learning
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