6d ago · 4 min read · Shipping a side project is maybe 70% writing code and 30% a pile of small chores that have nothing to do with code: exporting a favicon, making an OG image that isn't 4 MB, compressing the screenshots
Join discussionMay 26 · 10 min read · You have built the engine. You have built the canvas. But there is a gap between "this works in code" and "a real person can use this to solve a real problem." Three pages close that gap. The first ti
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May 26 · 8 min read · Imagine an agent pauses and asks: "What tone should the email use - formal or casual?" You type: "actually, just cancel this." A naive implementation feeds "actually, just cancel this" into the next n
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May 26 · 9 min read · A pipeline executor that only runs pipelines is like a kitchen with only a stove. Technically functional. Practically useless without everything around it. The execution engine is the stove. But to bu
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May 26 · 8 min read · You have three seconds. That is how long a user spends with the canvas before they have decided whether this tool is real or a demo. A half-second of lag, a node that does not respond to a click, an e
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May 26 · 14 min read · Ask most developers how they would execute an AI pipeline and they will say: loop through the nodes, call the LLM on each one, pass the output to the next. Done in twenty lines. That works until you n
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May 24 · 6 min read · Every software engineer knows the concept of refactoring—improving the internal structure of code without changing its external behavior. But a few months ago, I decided to apply this exact mindset to
Join discussionMay 23 · 6 min read · There is a moment in every developer's journey with AI tools when you hit the wall. You have tried Zapier. Clean, simple, works - until you need a loop or a parallel branch and suddenly you are duct-t
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May 21 · 4 min read · If you've ever been on the hunt for a new tech role, you know the struggle. Applying to dozens of companies, tailoring resumes, prepping for interviews, and networking on LinkedIn quickly turns into a
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