There's been buzz around Nano Banana (a new and cool image model from Google) and I wanted to try it out I came up with an idea to create a micro SaaS app for generating images with Nano Banana and accepting payments for the generation with Solana I recorded the first steps of the process, you can take look at that in the video I also tried Grok Code Fast for the first time while building it. Very fast, very exciting model that I want to use a lot more

TL;DR: The combo of Codex (AI codegen/review) and Cursor (AI IDE/context) is now my default stack for any dev work—not just PowerBI. The key: plugging both into our Planner (tasks) and Cortex (docs/decisions) so every step is tracked, reviewable, and shareable. For those not in our stack: - Planner = advanced project/task tracker (dependencies, AI action logs). - Cortex = semantic doc/knowledge base (like Notion/Confluence, but with built-in AI for tagging, context, and audit). - Codex = code reviewer, optimizer, and PR fixer (via cloud or in-editor). - Cursor = IDE/workspace, doc/test generator, and context anchor. PowerBI example (real use): - Built and tested a PowerBI Dataflow JSON Validator in Cursor, - Used Codex for code review/PR feedback, - CI/CD ensures every change goes through the same process—no shortcuts, all traceable. But it’s not just PowerBI: - I’m using this same Codex+Cursor + Planner+Cortex combo for new app builds, backend services, even internal tooling. - The benefit: all process, logic, and decisions are linked together—you can trace any feature or fix from code, to doc, to planner task, to review history. Why it matters: - Onboarding = instant (all links and context in one place). - Review/governance = built-in, not bolted on after the fact. - Works for any coding project, not just dashboards. If you’re building apps, pipelines, or internal tools and want AI and governance, try connecting your copilot/IDE to your project and doc stack. DM if you want examples or want to compare notes!