What problem does it solve?
Nanostack gives AI coding agents a structured, repeatable engineering workflow so teams avoid shipping unvalidated work, reduce scope errors, and enforce quality checks before code reaches production.
Core Features & Use Cases
- End-to-end sprint orchestration: Guided phases (think → nano/plan → build → review → qa → security → ship) with artifact persistence and sprint journals.
- Safety & automation: Guardrails (freeze, pattern-blocking), autopilot runs, and a conductor for parallel multi-agent coordination.
- Know-how compounding: Automatically saves artifacts, captures learnings, and graduates proven solutions into skill rules to reduce repeated mistakes.
- Use Case: Run a feature sprint from idea to PR and post-deploy verification with consistent reviews, automated security scans, and a generated sprint journal.
Quick Start
Start with /nano-run to configure the project, then invoke /think to run a guided sprint and produce the first plan and brief.