{"id":39687150,"url":"https://github.com/m0n0x41d/quint-code","last_synced_at":"2026-04-01T17:08:25.959Z","repository":{"id":328235195,"uuid":"1114011551","full_name":"m0n0x41d/quint-code","owner":"m0n0x41d","description":"Engineering decisions  engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.","archived":false,"fork":false,"pushed_at":"2026-03-23T07:16:11.000Z","size":16912,"stargazers_count":1235,"open_issues_count":5,"forks_count":98,"subscribers_count":16,"default_branch":"main","last_synced_at":"2026-03-24T03:00:58.696Z","etag":null,"topics":["ai-agents","ai-coding","ai-skills","air","anthropic","claude","claude-code","cli","codex","codex-cli","context-memory","cursor","cursor-ai","developer-tools","first-principles","gemini-cli","prompt-engineering","reasoning","structured-reasoning","systems-thinking"],"latest_commit_sha":null,"homepage":"https://quint.codes","language":"Go","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/m0n0x41d.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"ROADMAP.md","authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-12-10T19:16:51.000Z","updated_at":"2026-03-23T21:25:38.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/m0n0x41d/quint-code","commit_stats":null,"previous_names":["m0n0x41d/crucible-code","m0n0x41d/quint-code"],"tags_count":12,"template":false,"template_full_name":null,"purl":"pkg:github/m0n0x41d/quint-code","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m0n0x41d%2Fquint-code","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m0n0x41d%2Fquint-code/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m0n0x41d%2Fquint-code/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m0n0x41d%2Fquint-code/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/m0n0x41d","download_url":"https://codeload.github.com/m0n0x41d/quint-code/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m0n0x41d%2Fquint-code/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31290538,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-01T13:12:26.723Z","status":"ssl_error","status_checked_at":"2026-04-01T13:12:25.102Z","response_time":53,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-agents","ai-coding","ai-skills","air","anthropic","claude","claude-code","cli","codex","codex-cli","context-memory","cursor","cursor-ai","developer-tools","first-principles","gemini-cli","prompt-engineering","reasoning","structured-reasoning","systems-thinking"],"created_at":"2026-01-18T10:01:03.626Z","updated_at":"2026-04-01T17:08:25.943Z","avatar_url":"https://github.com/m0n0x41d.png","language":"Go","readme":"\u003cimg src=\"assets/banner.svg\" alt=\"Quint Code\" width=\"600\"\u003e\n\n**Engineering decisions that know when they're stale.**\n\nFrame problems. Compare options fairly. Record decisions as contracts. Know when to revisit.\n\nSupports: Claude Code, Cursor, Gemini CLI, Codex CLI, Codex App, Air\n\n---\n\n## Install\n\n```bash\ncurl -fsSL https://raw.githubusercontent.com/m0n0x41d/quint-code/main/install.sh | bash\n```\n\nThen in your project, run init **with your tool's flag**:\n\n```bash\n# Claude Code (default if no flag)\nquint-code init\n\n# Cursor\nquint-code init --cursor\n\n# Gemini CLI\nquint-code init --gemini\n\n# Codex CLI / Codex App\nquint-code init --codex\n\n# JetBrains Air\nquint-code init --air\n\n# All tools at once\nquint-code init --all\n```\n\n### What init does per tool\n\nThe binary is the same — only the MCP config location differs:\n\n| Tool | MCP Config | Commands | Skill |\n|------|-----------|----------|-------|\n| Claude Code | `.mcp.json` (project root) | `~/.claude/commands/` | `~/.claude/skills/q-reason/` |\n| Cursor | `.cursor/mcp.json` | `~/.cursor/commands/` | `~/.cursor/skills/q-reason/` |\n| Gemini CLI | `~/.gemini/settings.json` | `~/.gemini/commands/` | — |\n| Codex CLI | `.codex/config.toml` | `~/.codex/prompts/` | `~/.agents/skills/q-reason/` |\n| Air | `.codex/config.toml` | project `skills/` | project `skills/q-reason/` |\n\n**Important for Cursor:** After init, open Cursor Settings → MCP → find `quint-code` → enable the toggle. Cursor adds MCP servers as disabled by default.\n\n**Note:** Cursor also picks up Claude Code commands from `~/.claude/commands/` — so slash commands work even without `--cursor`. But MCP config (`.cursor/mcp.json`) must be set up for the tools to connect.\n\nExisting project? Run `/q-onboard` after init — the agent scans your codebase for existing decisions worth capturing.\n\n**First time?** Ask the agent to explain how it works:\n\n```\n/q-reason explain how to work with quint-code effectively — what commands exist, when to use each one, and what's the recommended workflow\n```\n\nThe agent has full knowledge of all Quint tools and will walk you through them in context of your project.\n\n---\n\n## How It Works\n\n### One command: `/q-reason`\n\nDescribe your problem. The agent frames it, generates alternatives, compares them fairly, and records the decision — all in one command. It auto-selects the right depth.\n\n### Or drive each step manually\n\n```\n/q-frame  → /q-char  → /q-explore → /q-compare → /q-decide\n  what's      what       genuinely     fair         engineering\n  broken?     matters?   different     comparison   contract\n                         options\n```\n\n### Micro-decisions on the fly\n\nThe agent captures decisions automatically when it notices them in conversation. No rationale — no record. Conflicts with active decisions are flagged. Auto-expires in 90 days.\n\n### When decisions go stale\n\n`/q-status` shows what's expired and what needs attention. `/q-refresh` manages the lifecycle of ALL artifact types — waive, reopen, supersede, or deprecate.\n\n---\n\n## What Makes It Different\n\n- **Decisions are live** — they have computed trust scores (R_eff) that degrade as evidence ages. An expired benchmark drops the whole score.\n- **Comparison is honest** — parity enforced, dimensions cross-checked, asymmetric scoring warned. Anti-Goodhart: tag dimensions as \"observation\" to prevent optimizing the wrong metric.\n- **Memory across sessions** — when you frame a problem, the tool surfaces related past decisions. When you explore, it checks for similar variants.\n- **The loop closes** — failed measurements suggest reopening. Evidence decay triggers review. Periodic refresh prompts ensure nothing goes stale silently.\n- **Decisions are contracts** — FPF E.9 format: Problem Frame, Decision (invariants + DO/DON'T), Rationale, Consequences. A new engineer reads it 6 months later and gets everything.\n\n---\n\n## 6 Tools\n\n| Tool | What it does |\n|------|-------------|\n| `quint_note` | Micro-decisions with validation + auto-expiry |\n| `quint_problem` | Frame problems, define comparison dimensions with roles |\n| `quint_solution` | Explore variants with diversity check, compare with parity |\n| `quint_decision` | FPF E.9 decision contract, impact measurement, evidence |\n| `quint_refresh` | Lifecycle management for all artifacts |\n| `quint_query` | Search, status dashboard, file-to-decision lookup |\n\n---\n\n## Built on First Principles Framework\n\n[FPF](https://github.com/ailev/FPF) by [Anatoly Levenchuk](https://www.linkedin.com/in/ailev/) — a rigorous, transdisciplinary architecture for thinking.\n\n`/q-reason` gives your AI agent an FPF-native operating system for engineering decisions: problem framing before solutions, characterization before comparison, parity enforcement, evidence with congruence penalties, weakest-link assurance, and the lemniscate cycle that closes itself when evidence ages or measurements fail.\n\n`quint-code fpf search` gives you access to 4243 indexed sections from the FPF specification — the agent can look up any concept on demand.\n\n---\n\n## Learn More\n\nSee the [documentation](https://quint.codes/learn) for detailed guides on decision modes, the DRR format, computed features, and lifecycle management.\n\n## Requirements\n\n- Go 1.24+ (for building from source)\n- Any MCP-capable AI tool\n\n## License\n\nMIT\n","funding_links":[],"categories":["Configuration \u0026 Rules","Go"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm0n0x41d%2Fquint-code","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fm0n0x41d%2Fquint-code","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm0n0x41d%2Fquint-code/lists"}