6d ago · 11 min read · When I first started exploring AI development, I kept running into these four names everywhere. Blog posts, YouTube tutorials, GitHub repos; LangChain this, LangGraph that. And honestly? For a while,
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May 27 · 6 min read · Over the last 12 months, our engineering team at Logic Square reviewed more than a dozen AI-generated codebases — products built by founders using Lovable, Bolt, and Cursor without professional engine
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May 26 · 5 min read · Traditional software is predictable. You type something in, and you get the exact same result out every single time. Your database works, your code runs, and everything behaves. But the moment you add
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May 21 · 9 min read · Spent the better part of the last quarter building out an Agentic RAG system on top of a production Python full stack AI app. Standard RAG was not cutting it for our use case. Too much hallucination o
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May 11 · 3 min read · The numbers are in, and they tell an uncomfortable story AI coding assistants promised to supercharge developer productivity. And in one narrow sense, they delivered. Developers are writing more code, faster, than ever before. But here's what the 202...
Join discussionMay 10 · 3 min read · 📝 Quick Summary: This Python-based Telegram bot provides remote access to Claude Code, allowing users to interact with their codebase conversationally from anywhere. It supports session persistence, proactive notifications, and secure access, making...
Join discussionMay 9 · 11 min read · AI coding tools are becoming very powerful. However, in actual projects using AI-assisted development, I frequently encountered a frustrating pattern. As projects expanded, the AI started making unexp
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May 8 · 3 min read · The Review Queue Is the New Bottleneck — And Most Teams Haven't Adapted For twenty years, writing code was the slow part. A developer might open one or two PRs a day. Review kept up because there wasn't much to review. The pipeline was balanced. That...
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