Plugging my AI editor into Puck: how hard could it be?
Puck has 12k+ GitHub stars and a clean plugin system. I wanted to see if my editor's architecture could plug into it — and what I'd learn from trying.
Shipping notes, product decisions, and technical experiments from real-world builds.
Puck has 12k+ GitHub stars and a clean plugin system. I wanted to see if my editor's architecture could plug into it — and what I'd learn from trying.
Planning a family trip to Puglia, I hit a wall with Google Maps. So I built a pipeline that searches, deduplicates, and maps places automatically.
The enterprise DXPs are racing to ship agentic editing. I'm building an open, self-hostable alternative — here's what I've learned so far.
How I went from 'what if you could just tell a website what to change' to actually building it.
What changed when I moved Gemini Nano from demo mode into real user workflows.
What actually works when you want AI output to feel live inside a visual editor.
Strict JSON output looks clean on paper. The moment you try to parse it token-by-token, you find out how many ways an LLM can hand you a half-finished object.
Chat feels magical early, but property panels keep teams precise once complexity grows.