yapout
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Yapout

Ideas live in meeting transcripts, Slack threads, and half-formed thoughts. Yapout is where they become software.

Non-technical users can submit bug reports and feature requests directly. Architects can import transcripts from requirements gathering meetings and take it from there. Either way, architects own the process, refining, grouping, and shaping raw input into a coherent spec, with full visibility into the agentic pipeline once execution begins. When work is ready for review, stakeholders re-enter the picture for UAT before it ships. Every role works at the layer that makes sense for them.

The upfront work is the point. Every other agentic tool gets excited about the execution layer and waves past everything that makes execution reliable. The questions that turn into mid-sprint blockers, the conflicts that make agents step on each other, the architecture decisions that get made twice because nobody wrote them down the first time. Yapout resolves all of that before an agent touches code.

Refinement isn't just about clarifying what you want. It's about understanding what you already have. Yapout indexes your codebase so that every request gets evaluated against your existing business logic, your current architecture, and the decisions already baked into your code. That's how gaps get caught, conflicts get surfaced, and the spec gets declared solid. Not because it sounds complete, but because it actually is. By the time agents touch code, the spec has answers to the right questions, end to end, couched in the reality of the system they're about to work in.

That's also the difference between clean, well-architected code and a pile of garbage that brute-forced its way to the right answer. Both might pass the tests. Only one of them is maintainable.

Tests get written before agents touch code. Documentation updates as work ships. Model routing is handled automatically so work is distributed across open source hosted models and frontier models based on what each task actually requires. No vendor lock. No token costs that spiral because everything defaulted to the most expensive option.

The whole flow is managed through an elegant Kanban-style UI, with a CLI (or build use your own) for local development orchestrated by Yapout. For everything happening underneath it, it's fully intuitive. The complexity is Yapout's problem, not yours.

Stop managing agents. Start focusing on the work.