Show HN: Superblocks AI – AI coding assistant for internal apps
This is neat, but, as with all projects in this vein, I fail to see the real value add. We&#x27;ve had ML-powered code generation for several years now (Copilot released publicly in late 2021), and apart from a cute novelty, there&#x27;s no real use case I&#x27;ve found. (<i>Maybe</i> except for generating tests, but when dealing with a novel code base, the models really can&#x27;t figure out dependency injection, mocks, weird edge cases I&#x27;d care about, etc.)<p>This might be a bit contrarian, but I don&#x27;t really think there&#x27;s product market fit here, at least for engineers. And if given in the hands of non-engineers, you&#x27;ll need to have an engineer at least look over the code anyway. I haven&#x27;t seen or heard of anyone that seriously uses ChatGPT to generate code and uses it in prod (apart from engagement-farming Twitter posts).<p>&gt; Understanding someone else’s code for large internal engineering teams is often a challenge<p>Without proper context, this will fail miserably. Have you ever seen a corporate codebase before? It can be the definition of &quot;wtf?&quot; even for a seasoned developer that&#x27;s been working there for years.<p>This AI-generated code trend reminds me of the &quot;no-code&quot; fad of the past decade.