devague 0.5.1

devague — turns a vague feature idea into a buildable spec, then a buildable plan.

devague

devague is a command-line tool that turns a vague feature idea into a buildable spec, then that spec into a buildable plan — by working backwards, then forwards. It is a small, deterministic Python CLI (no LLM calls inside it, fully unit-tested) — not an agent, service, or daemon. You install it and run devague from the repository you are speccing; state is plain JSON under .devague/.

vague idea ──▶ buildable spec ──▶ buildable plan ──▶ build

Install

uv tool install devague      # or: pipx install devague / pip install devague
devague --version

Two engines, one CLI

• Frame engine (idea→spec) — start from the announcement ("pretend it shipped"), capture and pressure-test claims, park open vagueness, and export a spec only once the frame converges. Flat verbs: devague new / capture / interrogate / confirm / converge / export / …
• Plan engine (spec→plan) — seed a plan from a converged frame, cover every target with tasks that carry acceptance criteria and an acyclic dependency order, and export a plan only once it converges. Nested group: devague plan new / task / cover / converge / export / …

Run devague learn (or devague plan learn) to learn the method, and devague explain <move> for any single move.

Driving it from an agent

Inside AgentCulture, an assistant drives this CLI through two operator skills — /think (idea→spec) and /spec-to-plan (spec→plan) — which add a portable wrapper and a status next-move helper over the convergence gate. The CLI is the deterministic affordance; the agent decides the next move. See CLAUDE.md for that workflow and docs/superpowers/specs/ for the design docs.