Okay, I have to ask because I'm genuinely confused and maybe just missing something obvious. After all the hype, I finally got Lindy set up to orchestrate some of our dbt jobs alongside our existing Airflow DAGs. The backend stuff seems powerful, but... the UI feels really hard to navigate?
Coming from Airflow's UI (which isn't perfect, I know!), I'm finding Lindy's interface a bit of a struggle. It feels like I have to click through so many more layers to see what I want.
Some specific things tripping me up:
* Finding the actual logs for a failed task isn't intuitive. The "run history" is there, but drilling down to the specific error output takes a few clicks that don't feel logical.
* The graph view for dependencies seems less... readable? The nodes are huge and the information density feels lower, so I have to scroll more to see the whole pipeline.
* The separation between "Projects," "Pipelines," and "Runs" feels a bit disjointed. I keep losing track of where I am in the hierarchy.
I'm attaching a screenshot of what I mean about the graph – it just looks so sparse compared to what I'm used to. Maybe I just need to get used to a new paradigm?
I'm super grateful for the tool overall, the Python SDK is clean and the core concepts are solid. But the UI is slowing me down a lot when debugging. Is it just me? Has anyone else felt this way and found some hidden shortcuts or settings to make it better?
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