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Continuing on Part 1 (setting up your developer environment) and Part 2 (defining your project to Claude Code), we are now jumping into Part 3, in which we are going to be building the landing page for our application.
Assuming you have followed part 1 of this series, you now have a beautiful, customized development environment, waiting for you to start using it.
Everyone says you can't code if you are not a developer. I say: this is false, and today anyone can build anything! This is the first part of a 6-posts series on how to build any app with AI agents.
Continuing on my agentic workflows exploration, I expand on my previous Supabase implementation of preview environments, and move to Neon for true branching. I get a solid implementation.
Practical exploration (and recreation) of the `Mini Shai-Hulud` supply chain attack.
I make an iOS app, but I am concerned non-iOS users might want to engage with the idea so I find a way to allow web payments with Stripe & bind them to a RevenueCat entitlement. Apple accepts it.
I decide to learn the basics of AI/ML. I do, with Prime Intellect's "Hosted RL Training", Modal, and Codex. I fine-tune a LoRA model with synthetic data in the shape of a surveillance agent.
A company sends a cold email to my girlfriend's sister. They ask for $400 to create a landing page for her new dental studio. I told her to drop the email in spam and made her a Github account instead
Complete self-hosted natural language programming (""vibe coding"") platform with Github, ArgoCD, and Claude Code. Essentially, a far better and functional Replit/Lovable.
A practical introduction to GitOps & the power of preview environments: a fully functional isolated environment, spawned automatically on every pull request.
