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SoftDeveloper23
SoftDeveloper23
@softdeveloper23.bsky.social
Building 10 apps in 2026, in public. Sharing the real numbers, code, and lessons. softdev23.com
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Giving an AI subagent a vague instruction creates vague results. I give each reviewer four things: exact input, one clear question, what it can edit, and evidence the next person can check. I break down the workflow here: youtu.be/0W_xWWThMUE
GPT-7 already? I looked at the rumors, the public evidence, and what would actually matter for people building with AI. Here's what's known, what's speculation, and what I'd want to see next. www.youtube.com/watch?v=rTMk...
Plot twist: AI might make native mobile development cheaper than “write once, run everywhere.” Shopify is moving back from React Native to Swift and Kotlin because coding agents changed the math. That is a much bigger story than another framework war. shopify.engineering/back-to-native
AI coding gets more reliable when the workflow does not stop at “it works.” I use a simple loop: set a clear goal, reproduce the failure, repair what broke, and check the result again. What does your verification step look like? youtu.be/f5_EiGWvnvs
A test expected 2 warnings. The tool returned 3. The test still passed. The third warning was legitimate. The expected answer was incomplete, and the comparison was too loose to expose it. Here is how an AI reviewer caught the problem: youtu.be/0W_xWWThMUE
AI built the tool. A separate AI code review found the bug. My project-summary tool was counting a checked task as unfinished. This video follows the failure, the parser fix, and the verification loop that came next. youtu.be/f5_EiGWvnvs
If you are into indie software, building in public, or AI-assisted development, follow along for the real process, not a highlight reel. Start here on the softDev23 homepage:
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