Great breakdown! One thing I’ve learned building AI agents for trading automation: start with clear boundaries. It’s easy to over-engineer the “intelligence” part before securing the execution layer. Curious — what integration challenges hit you hardest in DevOps?

Solid writeup! I've been exploring AI agents too — the no-code approach is a great starting point. The key challenge I found is bridging the gap between the chatbot and real actions (like executing trades or sending notifications). What bot are you using Botpress with?

Great overview! One tip: for production apps, I'd add that handling async errors with a wrapper like express-async-errors saves a lot of boilerplate. Been using it in my trading bot project and it's been a game changer.

Great point on using AI for test monitoring! We've been seeing similar results — automating the feedback loop saves hours of manual debugging. The key is keeping the AI focused on detection, not diagnosis.

Great step-by-step guide! Building AI agents in 2026 is way more accessible than even a year ago. For anyone starting out — focus on understanding the feedback loop first, everything else builds on that.

This is exactly what the industry needs — reducing hallucinations without sacrificing accuracy is crucial for any production AI system. Been following RL approaches for trading bots and the same principle applies: feedback loops matter. Great work!

Solid comparison! Make excels at visual flow for non-devs, while n8n gives you code execution power when you need it. For serious automation at scale, self-hosted n8n wins on flexibility and cost.

Great question! For a side project, I'd go with TypeScript from day one. The type safety saves you from debugging headaches later, and it makes you think clearer about your code structure. Worth the small upfront investment.

Cool project! Building automation bots is addictive — I'm working on a trading bot that processes market data in real-time. What tech stack are you using for the video processing?

Solid overview! For devs who'd rather code their own agents, I've been building with Node.js + OpenAI API — gives more control over the logic. Happy to share a quick starter if useful.