A few months ago, after finishing my work at the company, I had the opportunity to work with a blockchain development team in Germany. At the time, I was responsible for QANAT's next-generation blockchain messaging features and smart contracts. Although the programming itself was simple, I struggled significantly due to the complex architecture. The diagrams I created at the time and the team members are shown below. Has anyone else had a similar experience? How did you resolve this issue?

Been spending more time lately working on system-level problems across real-world autonomy stacks rather than just model improvements. A lot of it looks like: – keeping end-to-end latency in check (~100–150ms in production systems) – getting perception pipelines to run reliably at ~25–30 FPS under constraints – handling noisy or partially missing sensor inputs (camera / IMU / LiDAR) without breaking downstream behavior – building simulation workflows to catch issues before they hit hardware Most of the impact has come from improving stability and consistency across the full pipeline, especially in real-world conditions where things aren’t clean. It’s not the most visible layer, but it’s usually where systems either hold up or fall apart. Curious what kinds of challenges others are seeing on the system side lately. If you’re working on similar problems in robotics or real-time systems, always open to connecting.

@Jonathan Montoya @Bryan Mills UPDATE: I figured out the answers to my question posted in reply comment to @Tina Warwick below. TLDR: I am new to the community, and happy to be here. - Reside in Alberta, Canada - Over 23 years digital marketing experience (former agency owner) - Currently working fulltime in supply chain as Regional Facilities & Procurement Coordinator - Founder of a new corporation created specifically to build AI solutions/apps - Short term goals: retire my wife from her job in 6 to 12 months; secondly, build a legacy revenue stream to leave my children and grandchildren Two Questions: I received my DFY Complete Software Blueprint from Bryan yesterday (thank you Bryan)! 1. Based upon the written instructions, I would use Lovable to create the software and platform on which the software runs, is that correct? 2. Is there a video I may have overlooked with step-by-step instructions to walk me through the implementation and marketing of the software? 3. Am I able to import this into My Maker AI Project Dashboard, and if so, how? Thank you for your help. 🥷🤓

something I’ve noticed: building an AI app is getting easier and easier but keeping it working over time is a different problem inputs change users behave unpredictably small edge cases stack up that’s usually when things start breaking curious if anyone here has hit issues after launching?

I am in the process of launching my app. It shows it’s active but not sure how to find my link to the app. Can someone help me…very new. Thanks