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Apologies for the gap since the last post.
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The most common objection to visual programming languages is the spaghetti problem.
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Earlier posts introduced forEach as a way to iterate an array — attach a forEach terminal and the node executes once per element.
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> Apologies for the gap between posts.
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Previous posts covered how data flows through graphs and how closures provide control flow.
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The previous post ended with a claim: control flow in LQ is just methods that accept closures.
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The previous tutorial ended with a teaser — a compressed version of the printPerson method where a string literal physically touched a println node, merging into a single compact structure.
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Previous posts introduced the idea behind LQ — a diagrammatic dataflow language where the program is the graph.
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Let the Robots Speak introduced LQ — a visual dataflow language designed for AI agents.
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Foreword I’ve been thinking about writing another diagrammatic language since my work on Prograph in the 1980s.
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It happened in the shower, or on a walk, or staring at a whiteboard with a dried-out marker in your hand.
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This method constructs a map and performs operations on that map.
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The first node is a multiline text node, no quotes required.
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You’re a neural network.
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Why the future of programming looks nothing like a text file It’s 2026, and we’re still typing if (x > 0) { return true; } into monospaced text editors like it’s a teletype terminal in 1957.