This week was mostly about tightening up the foundations of our tools rather than pushing new features. A lot of our older experiments were starting to show their age, so we spent time cleaning things up and getting the core systems into better shape.
What Happened This Week
Refactoring Neo + Parcel NExT review
We continued working through refactors on Neo and reviewing the Parcel NExT implementation. Some of the earlier experimental frontend work had spread across multiple assemblies, so small API changes ripple everywhere. Slow, but necessary.
WPF + Nodify wrestling
A surprising amount of time went into understanding how WPF resource dictionaries, theming, and Nodify's API actually want to behave together. After digging through the quirks, we finally have a clearer picture of how to keep styling and view models consistent. Didn't get as far into custom styling as we hoped, but at least the fundamentals are sorted out.
Serialization groundwork
Started wiring up the basics for text-based JSON serialization of Divooka graphs/documents. Also began work on package reference records and figuring out how packages get identified and loaded at runtime. All early steps, but important ones.
Graph editor + GUI cleanup
Made some initial passes at reorganizing the graph editor. Small changes now, but they'll help us build better tools on top later.
Fantasy Planet Painter update
Spent a little time polishing and updating the Steam submission for Fantasy Planet Painter.
Methodox Threads
We also pushed out an early public release of Methodox Threads, our lightweight branching text environment for managing non-linear AI conversations. The new v0.7 build adds integrated Gen-AI generation directly inside each document pane, configurable providers, and a simple JSON-backed structure for exporting or versioning thought trees. It's essentially a cleaner way to explore tangents, run parallel prompts, and keep complex LLM work organized. Download is available on itch.io.
Closing Thoughts
Not a "big features" week, but a surprisingly productive one in terms of future stability. Refactors aren't glamorous, but they make everything that comes next a lot smoother.