User
Write something
Pinned
We Hit 1,000 Members 🎉
Here are some of my notes… This community is hitting a new stride. The algo is clearly pushing hard right now, and I expect things to scale even faster from here. As more people join, I’ll keep answering as many questions as I can, but with one person behind all of this there’s a natural limit. We’re entering a phase where everyone helps everyone, and this is an open place to learn, share, and build together. A lot of you are here for different reasons. Some are chasing income, some are driven by passion, some feel that creative urge to build. I get all of it. What I can say is keep learning, because eventually the building process flips into something that feels like painting. You hit that obsessive flow state where nothing feels impossible. Here are my last notes. There’s a lot of negativity in the world, and as we grow larger there will be people who try to join this community to scam, lie, or create distrust. That’s a natural part of building anything great. The only real way to win in life is through positivity, support, and sharing ideas. Asking a question isn’t a sign of being dumb. It’s actually one of the strongest signs of intelligence. Ego can kill success. so why did you join?
Poll
228 members have voted
Finding something to code...
Most of the time when I see a need to do something like making an app, I find the need for something I am doing. Tonight I was getting ready to update some of my Home Assistant configurations when I started thinking why don't I have AI doing this? I looked and found a repository which was rather basic but it had the start of what I wanted. I then cloned the repository and opened it in AntiGravity and had Claude 4.5 start planning things I could do to it. Below is the pdf's of what I will be doing starting in the morning.
Please Hire me
I work as a Fullstack and AI engineer, with hands-on experience in LLM integration, autonomous agents, workflow automation, multimodal AI, and blockchain systems. My focus isn’t demos or prototypes it’s production-grade systems. That means designing architectures where models are tightly integrated with databases, APIs, business logic, and, when needed, on-chain components. The goal is always reliability, scalability, and clarity, not just “AI for AI’s sake.” When developing large-scale projects (including SaaS platforms), I usually approach things in layers: ``` - Clear system boundaries between AI agents, core services, and external integrations - LLMs as controlled components, connected through orchestration, retrieval, and evaluation pipelines - Automation-first workflows, so repetitive operational tasks don’t become bottlenecks - Data and state ownership handled explicitly whether it’s traditional databases or blockchain-backed logic - Observability and guardrails, because production systems need to fail safely and predictably ``` This approach makes it possible to ship complex AI-powered products that teams can actually maintain, extend, and trust over time. If you’re building something serious especially a SaaS product that needs AI to be dependable rather than flashy I’m always interested in exchanging ideas or collaborating.
0
0
Working with multiple agents/chats in the same repo/project
Hey everyone, I'm trying to figure out how to work effectively with multiple chats/agents in a single repo using Codex CLI. I know there are worktrees and making multiple copies of the same project and then somehow merging them together with frequent commits and PRs, but I'm not sure how to do this in practice. Anyone have insight or tutorials they can point to?
0
0
1-30 of 561
Builder’s Console Log 🛠️
skool.com/ai-for-your-business
We build things because it’s fun.
console.log ("democratize developing");
Leaderboard (30-day)
Powered by