The biggest flaw in the current AI hype is the belief that a “precise enough” prompt will eventually lead to perfect execution. That might work for greenfield, vibe-coded weekend projects, but it falls apart the moment you teammates depending on the quality of your work. It gets even worse when the models are inconsistent like we’ve seen with Opus 4.7 Add onto it that in complex projects there are waaaay too many variables to leave to chance. Most people expect LLMs to be mind-readers, but without a custom-built framework, you’re just gambling with the output and wasting tokens in the process. If you want that to scale, you need a foundation that turns unpredictability into a repeatable process. A tall order with non-deterministic outputs. Needless to say I’ve been on the lookout for something that would let me build onto that foundation. I found libraries like Superpowers, which are great, but the workflow and setup are either too rigid or verbose for most of my use cases. I wanted something configurable that I could use for a multitude of projects, something that is composable, following the Unix ethos. I couldn’t find it so I built my own. Today I’m releasing Beislið. Beislið is a human-centric, extensible framework for collaborating with coding agents. It’s built on the idea that this idea of “frictionless” AI generation is actually a bug, not a feature. It applies intentional friction only where it’s needed, stripping away the chaos so you can focus on the architecture and logic that matters. Built for real engineering work. It’s already seen many iterations but I thought it was time to share with the community. Fully open source, fully configurable, agent agnostic but has official support for Claude Code. Check it out here: https://beislid.dev/ submitted by /u/sandsower
Originally posted by u/sandsower on r/ClaudeCode