I suspect you do not know how to use AI for writing code. No offence intended - it is a journey for everyone.
You have to be setup with the right agentic coding tool, agent rules, agent tools (MCP servers), dynamic context acquisition and workflow (working with the agent operate from a plan rather than simple prompting and hoping for the best).
But if you're lazy, don't put the effort in to understand what you're working with and how to approach it with an engineering mindset - you'll be be left on the outside complaining and telling people how it's all hype.
Always the same answer. It's the user not the AI being blown out of proportion. Tell me, where are all those great amazin applications that were coded 95-100% by AI? Where is the great progress the great new algorithms the great new innovations hiding?
My stack is React/Express/Drizzle/Postgres/Node/Tailwind. It's built on Hetzner/AWS, which I terraformed with AI. Probably 90-95% of it is AI driven.
It's a private repo, and I won't make it open source just to prove it was written with AI, but I'd be happy to share the prompts. You can also visit the site, if you'd like: https://chipscompo.com/
"For now, I’ll go dogfood my shiny new vibe-coded black box of a programming language on the Advent of Code problem (and as many of the 2025 puzzles as I can), and see what rough edges I can find. I expect them to be equal parts “not implemented yet” and “unexpected interactions of new PL features with the old ones”.
If you’re willing to jump through some Python project dependency hoops, you can try to use FAWK too at your own risk, at Janiczek/fawk on GitHub."
That doesn't sound like some great success. It mostly compiles and doesn't explode. Also I wouldn't call a toy "innovation" or "revolution".
Thanks for this! I've been looking for a good guide to an LLM based workflow, but the modern style of YouTube coding videos really grates on me. I think I might even like this :D
This one is a bit old now so a number of things have changed (I mostly use Claude Code now, Dynamic context (Skills) etc...) but here's a brief TLDR I did early this year https://www.youtube.com/watch?v=dDSLw-6vR4o
How much time do you think you saved versus writing it yourself if you factored in the time you spent setting up your AI tooling, writing prompts, contexts etc?
1. I didn't say it was a best example, I replied to a comment asking me to "Post a repo" - I posted a repo. 2. Straw man argument. I was asked for a repo, I posted a repo and clearly you didn't look at the code as it's not an "AI code generator".
1. I didn’t ask for a repo.
2. Still wasn’t me. Maybe an AI agent can help you check usernames?
3. Sorry, a plugin for an AI code generator, which is even worse of an example.
You have to be setup with the right agentic coding tool, agent rules, agent tools (MCP servers), dynamic context acquisition and workflow (working with the agent operate from a plan rather than simple prompting and hoping for the best).
But if you're lazy, don't put the effort in to understand what you're working with and how to approach it with an engineering mindset - you'll be be left on the outside complaining and telling people how it's all hype.