If you like the idea of using Glass but don’t want to wait, try @usehamster It’s the multiplayer self-improving, self-healing workspace we’ve been working on for more than a year that streamlines the full SDLC And it’s S-tier - full direction loop for the whole team - discovery and alignment across living artifacts - cloud delivery across briefs and initiatives - shared method and skills + a curated library of methods and skills to one click install - routines for automating work across the team - self-writing blueprints describing product that auto update as your team ships - self-healing context graph with team decision intelligence and intent lineage to answer what was built, when, why and by who and who made the decisions Built with love by the team who built @TaskmasterAI

give @usehamster a try its a full workspace and multiplayer harness which centralizes your skills, artifacts and workflow and context skills and content are synchronized to file systems in real time as agents ship and it feels like notion/linear tryhamster.com

the highest value thing a context graph stores is why your product ended up this way llms trend toward the average. that's fine until you're implementing, because general models fill in the corners with decisions that are directionally correct and subtly wrong, and those come back to bite you in the ass weeks later when you're debugging something you never chose this works for disposable discovery work that eventually leads to decisions but if you're shipping production code this way, you'll inevitably decide planning ahead is the fix but there's a catch. if you ask ai to lay out the options for you and it hands you four generic choices, you just moved the averaging one step earlier in the process this is a question hamster asked me this morning while refining a brief. the options aren't generic. they came from decisions we already made and recorded. they're things that matter to us that it knows to surface because the context graph contains these types of decisions. your past decisions are the highest leverage context you have. everything else is just documentation.

our context graph came to life today - full decision lineage - self-healing, self-updating team state - graph expanding as the team works - knows why we did what did when we did it AS WE DO IT, across the whole team everyone’s building infrastructure to read organizational knowledge. we’re building where it gets created. it’s what happens when alignment generates context as exhaust instead of losing it to slack threads holy shit we are never going back