The follow-up to the memory-layer post. Persistent context worked too well: session start was burning 30-40K tokens before I typed a word. Four fixes — context is a budget, not a bucket.
A simple test for whether an internal platform is actually self-service, or just another queue developers have to wait in.
The Musician's Practice App is not public yet. This is a build note from getting it ready for early testing by using it like an actual musician, not a feature checklist.
Platform engineering only becomes visible when it breaks. This is the story of building reusable testing, compliance and production-gating infrastructure that multiple services could adopt without reinventing the same deployment safety work every time.
Stateless AI sessions waste engineering time. I built a context layer where sessions load relevant history, persist decisions, and traverse a knowledge graph instead of starting from zero.
Engineering work leaves traces everywhere: Jira, GitHub, Slack, incidents, notes. Career observability is about connecting them before performance review season turns you into an archaeologist.
You put a specific keyboard on the rider, get flown out to the gig, and when you arrive it's something completely different. That's the scenario this project solves.
