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Most AI agent tutorials show you the LLM call.
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MCP (Model Context Protocol) is the standard connector between AI clients and external tools.
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Six months ago, every AI-assisted coding session started the same way: I'd type a prompt, get a result, tweak the prompt, try again.
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Python classes bundle data and behavior together.
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Libraries like transitions make using finite state machines (FSMs) easy.
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Migrating users between two live Django apps sounds like it needs one big migration script and a maintenance window.
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I wanted to migrate a content drip system.
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A few years ago, setting up a Python project meant wiring together six or seven tools before writing a single line of code.
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Your live data source just broke.
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Most Rust learning resources teach concepts one at a time.
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You might be writing Python that silently mutates data it shouldn't, swallows exceptions it shouldn't, and relies on type annotations as suggestions rather than contracts.