Thoughts on code, creativity, and the future of software development in the age of AI.
From generic variable names to "tutorial-style" comments, here is the ultimate guide to spotting AI-generated code in the wild.
Read Article →From 'Agent Mode' to 'Voice-to-Text', these are the 15 golden rules that separate the 10x Vibe Coders from the rest.
Read Article →From 'Tutorial Variables' to 'Zombie Comments', here are the 15 most common signs that your codebase has been touched by an LLM.
Read Article →We pitted human code against machine code in a massive 10,000-sample showdown. The results reveal the distinct 'accent' of AI.
Read Article →In the age of AI, clean code is the baseline. The new differentiator is "soulful code"—code that communicates intent and context.
Read Article →You don't always have a detector handy. Here is the senior developer's guide to spotting AI-generated code using only your eyes and intuition.
Read Article →AI leaves invisible marks on your codebase. Learn to spot the 10 subtle 'fingerprints' that reveal if a human or a machine wrote the code.
Read Article →Don't just copy-paste. Learn the art of 'Vibe Coding'—the process of taking raw AI output and injecting it with human soul and intuition.
Read Article →Can you spot the difference between a junior dev and GPT-5? This guide breaks down the subtle 'vibe' differences in naming, structure, and problem-solving.
Read Article →We've rebuilt the engine from the ground up. Now supporting GitHub repositories, URL analysis, and a brand new comparison tool.
Read Article →It's not about banning tools—it's about mentoring them to use tools effectively without losing their own coding voice.
Read Article →How we used vibe detection to identify the "human" parts of a legacy codebase and preserve them during a rewrite.
Read Article →Stop writing code. Start curating it. This is the definitive guide to the new AI-first engineering paradigm that is turning programmers into product engineers.
Read Article →Our analysis of 10,000 AI-generated comments reveals a disturbing pattern of over-explanation and lack of "why".
Read Article →Ever notice how ChatGPT code looks like a wall of text? We explore the phenomenon of 'Flat Code'—why LLMs generate it, and how to fix it.
Read Article →Have you ever felt like ChatGPT is just copying and pasting its own logic? We dive into the token prediction mechanics that cause AI repetition.
Read Article →If your AI code is buggy, messy, or hallucinating, it's not the model's fault. It's your workflow. Here is how to flip the script.
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