The End of Prototype Purgatory
AI stops making toys and starts building real things.
A new tool called Solid claims to generate production-grade code, not just another pretty prototype.
AI app builders have always felt like they produce toy apps. You get a flashy prototype that looks good in a demo, but the underlying code is a mess you'd never actually ship. Solid is making a bold claim to fix this, promising to generate production-grade, full-stack web apps in Node.js, React, and TypeScript that are scalable and maintainable.
This isn't just about building faster; it's about changing the economics of starting a company. If an AI can generate a robust, scalable codebase, the role of a developer shifts from writing boilerplate to architectural oversight and refining complex logic. It collapses the time and cost between idea and a viable V1, potentially making the traditional MVP process obsolete.
But here's the thing: "production-grade" is a high bar. The developer community is rightly sceptical of AI-generated code that often lacks context and nuance. Solid is for founders and developers who are tired of prototype purgatory, but its success will depend entirely on whether the code it produces can actually be trusted in the wild.
Your New AI Specialists
The general-purpose AI assistant is being replaced by a crew of highly specialised experts for every part of your job.
Bika.ai: An AI co-founder that never asks for equity
Bika aims to be an AI co-founder for solopreneurs, managing sales, marketing, and design from a chat interface. It’s a bet that solo founders need an integrated command centre, not just a collection of point solutions.
Spiky Mobile App: Your pocket-sized meeting coach
This app provides real-time coaching and smart summaries for your meetings, right on your phone. It understands that the most critical feedback is useless if it arrives a day after the call.
Vectorize 2.0: No-code RAG agents for your website
Vectorize gives your website a brain, letting you build sophisticated, no-code AI chatbots that are always up-to-date with your data. It turns your static site into a dynamic, interactive knowledge base.
The Great Democratisation
Meanwhile, generative AI is quietly reaching a level of quality that makes professional content creation accessible to everyone.
Tripo AI 3.0: Generate 3D models from text and images
Tripo AI generates production-ready 3D models from a simple text or image prompt. This vaporises the barrier to entry for 3D content, turning a highly technical skill into a simple query.
VidAU: Turns your product shots into video ads
VidAU automatically turns static product photos into slick video ads for social media. It's a direct assault on the time and cost of creating performant video content for e-commerce.
Quick hits
Roblox Moments: Your new favourite game is now a short-form video away
Roblox just launched 'Moments', an in-game video clipping tool that’s basically a TikTok feed for the metaverse to drive game discovery.
The People's Tech Stack: Stop paying for software you can get for free
A fascinating Reddit thread breaks down the best free, open-source alternatives for everything from Photoshop (GIMP) to Microsoft Office (LibreOffice).
Nexion: Your server key is now in your crypto wallet
Nexion lets you use your crypto wallet instead of a traditional SSH key for server access, wrapping infrastructure management in blockchain security.
My takeaway
We're past the point of being impressed by a blurry generated image or a chatbot that can write a poem. The new focus is on reliability, specialisation, and production-grade output. The tools that win will be the ones that seamlessly fit into a real-world workflow and solve a concrete, expensive problem.
This is the end of AI as a magic trick and the beginning of AI as plumbing. It's less exciting but infinitely more useful. Pay attention to the companies solving the boring, unsexy problems, because they're the ones building the future.
When code is no longer the bottleneck, what becomes the real barrier to shipping a great product?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().