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Built by world-class engineers, for vibecoders at
flowser.ai — AI Agents with computers for GTM

Stop your AI from coding before it thinks — and forgetting every detailed prompt from you.
This harness turns any AI coding agent into a spec-driven engineering team
that researches, plans, ships production-grade code, and self-improves its memory to survive context-rotting even 6 months later.

"Total Concentration — Spec Breathing, Tenth Form: Constant Flux.
A continuous development cycle that grows stronger with each feature shipped.
Context compounds. The flow never breaks."
— Tanjiro Kamado

🔬 Spec-driven development for AI agents
📋 Auto-generates PRDs, manages backlogs, routes context automatically
🧠 Self-improving knowledge base that compounds as you ship
⚡ Runs autonomously for hours on large tasks without losing state
🤝 Plans and specs are shareable — devs, PMs, and stakeholders review the same artifacts

The simplest, most flexible, team-friendly coding harness for

     
   

Works across any tech stack, any language, any project



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_{React · Next.js · Vue · Nuxt · Svelte · Angular · React Native · Electron · Node.js · Express · Bun · Hono · Python · Django · FastAPI · Flask · Ruby · Rails · Go · Rust · Java · Spring Boot · Kotlin · Swift · PHP · Laravel · C# · .NET · Elixir · TypeScript · Prisma · Supabase · Firebase · PostgreSQL · MongoDB · Redis · GraphQL · Docker · Kubernetes · Terraform · AWS · GCP · Azure · Vercel · Cloudflare · Tailwind · shadcn/ui · and any other stack your project uses}

🚀 Install (30 seconds)

Run this inside your project folder. Open a terminal and cd into the project you want the harness installed into before running the command — it installs into the current directory.

Prefer to drive it from your agent? Open Claude Code or Codex with that project folder as the working directory, then paste the full setup prompt below.

curl -fsSL https://raw.githubusercontent.com/withkynam/vibecode-pro-max-kit/main/install.sh | bash

Then open Claude Code and say:

Run vc-setup

That's it. The setup skill detects your stack, asks about your project (a real conversation, not a checklist), scaffolds the process directory, deep-scans your codebase, and populates context files with actual content — not placeholders.

your-project/
├── .claude/
│   ├── agents/              # 🤖 12 specialized agent definitions
│   │   ├── vc-research-agent.md
│   │   ├── vc-execute-agent.md
│   │   └── ...
│   ├── skills/              # ⚡ 31 auto-discovered skills
│   │   ├── vc-generate-plan/
│   │   ├── vc-security/
│   │   ├── vc-scout/
│   │   └── ...
│   └── hooks/               # 🪝 7 lifecycle hooks
│       ├── privacy-block.cjs
│       ├── scout-block.cjs
│       └── ...
├── .codex/
│   └── agents/              # 🔄 Mirrored agents for Codex
├── CLAUDE.md                # 📋 Orchestrator + routing rules
├── AGENTS.md                # 📖 Agent registry
└── process/                 # 🧠 Created by vc-setup (not install)
    └── ...

First, install the vibecode-pro-max-kit agent harness by running this command:

curl -fsSL https://raw.githubusercontent.com/withkynam/vibecode-pro-max-kit/main/install.sh | bash

After the install completes, run vc-setup to configure everything for this project.

Follow the full interactive flow:

1. DETECT — Read package.json, detect my stack (framework, package manager, monorepo
   structure, test framework, database, auth). Also check if I have any existing .claude/,
   process/, or context files from a previous setup.

2. SHOW ME WHAT YOU FOUND — Present a summary of the detection results and wait for me
   to confirm before continuing. If this is an existing project with process/ folders or
   context files, tell me what you found and what looks good vs what could be improved.

3. ASK ME ABOUT THE PROJECT — Before scaffolding or scanning, have a real conversation
   with me about this project. Don't just ask a fixed list of questions and move on — ask
   follow-ups based on my answers, probe deeper on anything vague, and keep going until
   you genuinely understand the project. Start with the basics (what is this? who uses it?),
   then dig into architecture, features, conventions, pain points, and anything else that
   matters. Summarize your understanding back to me and confirm it's correct before moving on.

4. SCAFFOLD — Create the process/ directory structure. If I already have process/ folders,
   show me what you plan to change and wait for my approval before reorganizing anything.
   Never silently move or delete my existing files.

5. STUDY — Deep-scan the codebase and populate process/context/all-context.md with REAL
   content based on what you find AND what I told you. Include: repo structure, tech stack
   with versions, key patterns and conventions, import aliases, env vars, API routes,
   database schema, test setup. Do not leave placeholder text.

6. VALIDATE — Run all the validation checks to make sure everything is wired correctly.

Important rules:
- If I have existing context files or a well-written CLAUDE.md, read them first and
  preserve what is good. Merge intelligently — do not replace good content with generic scans.
- Show me a summary of what you plan to create or change at each major step and wait
  for my OK before proceeding.
- Do not create empty placeholder files. Only create files that have real content.
- Ask before reorganizing. If my existing setup works, tell me what you would improve
  and let me decide.

🔥 The Problem

You ask Claude to "add webhook support." It immediately starts writing code. No questions about your architecture. No check on existing patterns. No plan. You get 400 lines that don't fit your codebase, and you spend an hour fixing it.

But that's just the surface. The deeper problems hit harder:

Your agent has intelligence but no process, no memory, and no way to collaborate with your team.

Whether you're a developer, a PM, or a CEO who just started vibe coding — this problem hits everyone the same way. The fix is the same too: give your agent a real development process.

🛠️ The Fix

This harness installs a complete development system into your project — not just a CLAUDE.md file, but 12 specialized agents, 31 skills, and a phase-locked workflow that forces your agent to understand before it builds.

%%{init: {'theme': 'base', 'themeVariables': {'fontSize': '16px', 'lineColor': '#8888AA'}} }%%
flowchart TD
    R["🔍 RESEARCH\nRead codebase, gather facts"]
    I["💡 INNOVATE\nExplore 2-3 approaches"]
    P["📋 PLAN\nWrite detailed spec"]
    E["⚡ EXECUTE\nImplement the plan"]
    T["✅ tester → reviewer → git-manager"]
    U["🧠 UPDATE PROCESS\nCapture learnings"]

    R -->|"you say 'go'"| I
    I -->|"you say 'go'"| P
    P -->|"ENTER EXECUTE MODE"| E
    E --> T
    E -->|"recommended"| U

    style R fill:#1565C0,stroke:#0D47A1,color:#FFFFFF
    style I fill:#E65100,stroke:#BF360C,color:#FFFFFF
    style P fill:#2E7D32,stroke:#1B5E20,color:#FFFFFF
    style E fill:#C62828,stroke:#B71C1C,color:#FFFFFF
    style T fill:#6A1B9A,stroke:#4A148C,color:#FFFFFF
    style U fill:#00695C,stroke:#004D40,color:#FFFFFF

Every transition requires your explicit approval. Nothing auto-advances. You stay in control.

The Vibe Coding Revolution

Vibe coding changed who can build software. Spec-driven development changes what they can ship.

Most tools help you start a project. This harness helps you finish it — with plans your team can review, context that never goes stale, and safety systems that catch mistakes before they ship.

Who Is This For?

Whether you just discovered vibe coding or you're a staff engineer shipping production systems — this harness adapts to your workflow.

At a Glance

💎 Why Teams Use This

Most harnesses give you a CLAUDE.md and instructions. This gives you an autonomous development system that compounds intelligence over time.

📋 Spec-Driven Development — Not Vibes-Driven

Every feature gets a written plan with blast radius analysis before a single line of code is written.

💡 Auto-generates PRDs, manages backlogs, organizes feature groups. Works for both developers and product managers — your agent plans like a senior engineer, not an intern.

What's in every plan:

🔄 Autonomous Multi-Phase Execution — Hours of Hands-Free Work

For large tasks, the agent runs an iterative phased loop:

🔍 research → ⚡ execute → ✅ validate → 📄 report → 🔄 repeat

💡 It self-heals when stuck, self-reflects to improve approach, and writes durable progress reports to disk. Context compaction can't kill it — all state lives in files, not memory.

Walk away and come back to completed work.

🧬 Auto-Architecture Research — Learn From Any Codebase

The agent doesn't just read your code — it studies other repositories to learn how they solved similar problems (vc-xia).

💡 It researches, compares approaches, and adapts the best patterns into your codebase. Architecture decisions are informed by real-world implementations, not hallucinated best practices.

🧭 Persistent Smart Context Routing — Always the Right Context

Context isn't one giant file. It's organized into auto-routed knowledge domains:

process/context/
├── all-context.md              # 🧭 Root router — reads your task, loads what's relevant
├── tests/
│   └── all-tests.md            # 🧪 Test runners, commands, debugging
├── container/
│   └── all-container.md        # 🐳 Docker, deployment, infra
├── uxui/
│   └── all-uxui.md             # 🎨 Components, design tokens, patterns
└── {your-domain}/
    └── all-{domain}.md         # 📚 Any domain with 3+ durable docs

💡 When the agent works on billing, it loads billing context — not your entire codebase docs. Context auto-updates every time you complete a feature, so it never goes stale.

🧠 Self-Improving Knowledge Base — Gets Smarter as You Ship

Every completed feature feeds learnings back into the context system.

💡 Research findings, architectural decisions, debugging insights, and coding patterns are captured and indexed automatically. Your 100th feature benefits from everything learned in the first 99. The knowledge compounds — it doesn't reset.

How This Compares

On runtime breadth: GSD supports 14 runtimes. We support 7 deeply — with full agent harnesses, skill discovery, and lifecycle hooks on every platform. Breadth vs. depth: your choice.

⚡ What Makes This Different

Most agent harnesses give you a big CLAUDE.md and some instructions. Here's what this one actually does:

🧭 How It Works

Your request
  → Step 0: Skill Discovery (match keywords → surface relevant skills)
  → Intent Detection (feature / bug / question / refactor / UI)
  → Route to the right agent
  → Phase-locked execution with explicit transitions

The orchestrator never does the work itself — it routes, monitors, and manages transitions.

📊 The Workflow

💡 Shortcuts: ENTER FAST MODE - [task] compresses RESEARCH+INNOVATE+PLAN into one pass — still pauses before EXECUTE. Trivial fixes (single file, <15 lines, no schema/auth changes) skip straight to execute.

💻 Typical Session

# 🆕 Feature request
You: "add webhook support to the API"
→ Skill discovery surfaces: vc-scenario, vc-security
→ research-agent gathers context (read-only, can't touch code)
→ You say "go" → innovate-agent explores approaches
→ You say "go" → plan-agent writes spec with blast radius
→ You review the plan, say "ENTER EXECUTE MODE"
→ execute-agent implements → self-review → tester → code-reviewer → git-manager
→ Closeout packet: what changed, what's verified, recommended next step

# 🐛 Bug fix
You: "login redirect is broken"
→ Routes to vc-debugger → evidence gathering → competing hypotheses
→ Root cause identified with proof chain
→ execute-agent implements the fix → quality pipeline

# ⏩ Fast mode
You: "ENTER FAST MODE - add rate limiting middleware"
→ Compressed research+innovate+plan in one pass
→ Mandatory safety pause → you review → "ENTER EXECUTE MODE"

# 🏗️ Large program
You: "build a full testing platform"
→ Creates umbrella plan + phase plans in a feature folder
→ Each phase: re-research → approve → execute → validate → durable report
→ Progress survives context compaction — durable reports on disk

# 🔄 Autonomous optimization
You: "improve test coverage to 80% using vc-autoresearch"
→ Agent iterates: make change → commit → measure → keep/revert
→ Stuck detection after 5 consecutive discards → strategy shift
→ Full audit trail in TSV

🛡️ Built-in Safety Systems

These aren't just guidelines — they're structural enforcement built into every agent.

🔍 Pre-Implementation Intelligence

Before a single line of code is written, the system can catch issues through specialized analysis:

🤖 Autonomous Agent Capabilities

✅ Quality Pipeline — Built Into Execution

The execute-agent doesn't just write code and call it done. It auto-chains through a quality pipeline:

%%{init: {'theme': 'base', 'themeVariables': {'fontSize': '16px', 'lineColor': '#8888AA'}} }%%
flowchart TD
    E["⚡ Execute-Agent\nImplements the plan"]
    SR["🔎 Self-Review\nLine-by-line check\nagainst plan"]
    T["🧪 Tester\nDiff-aware — only\nruns affected tests"]
    CR["🔍 Code Reviewer\nEdge case scout\n+ adversarial review"]
    CS["✨ Code Simplifier\nClarity refactoring"]
    GM["📦 Git Manager\nLogical commit splitting\nfrom touched_files"]

    E --> SR
    SR --> T
    T --> CR
    CR --> CS
    CS --> GM

    style E fill:#C62828,stroke:#B71C1C,color:#FFFFFF
    style SR fill:#AD1457,stroke:#880E4F,color:#FFFFFF
    style T fill:#6A1B9A,stroke:#4A148C,color:#FFFFFF
    style CR fill:#283593,stroke:#1A237E,color:#FFFFFF
    style CS fill:#00695C,stroke:#004D40,color:#FFFFFF
    style GM fill:#37474F,stroke:#263238,color:#FFFFFF

📋 The Plan Lifecycle — Spec-Driven, Not Vibes-Driven

Every non-trivial feature follows a plan lifecycle — a written spec that is created, reviewed, executed against, and archived as project history.

%%{init: {'theme': 'base', 'themeVariables': {'fontSize': '16px', 'lineColor': '#8888AA'}} }%%
flowchart TD
    A["🆕 Feature Request"]
    B["📝 Plan Created\nin active/"]
    C{"👀 User Reviews\nthe Plan"}
    D["⚡ Execute Against Plan"]
    E["📦 Plan Archived\nto completed/"]
    F["🧠 Learnings Written\nto all-context.md"]
    G["🔄 Next Feature\nStarts Smarter"]

    A --> B
    B --> C
    C -->|"✅ Approved"| D
    C -->|"✏️ Needs Changes"| B
    D --> E
    E --> F
    F --> G
    G -.->|"context compounds"| A

    style A fill:#1565C0,stroke:#0D47A1,color:#FFFFFF
    style B fill:#E65100,stroke:#BF360C,color:#FFFFFF
    style C fill:#F57F17,stroke:#F9A825,color:#000000
    style D fill:#C62828,stroke:#B71C1C,color:#FFFFFF
    style E fill:#6A1B9A,stroke:#4A148C,color:#FFFFFF
    style F fill:#00695C,stroke:#004D40,color:#FFFFFF
    style G fill:#1565C0,stroke:#0D47A1,color:#FFFFFF

💡 Six months from now, when someone asks "why did we build auth this way?", the answer is in completed/. Not lost in a Slack thread.

Where plans live on disk:

process/
├── general-plans/
│   ├── active/                  # 📋 Plans currently being worked on
│   │   └── webhooks_PLAN_28-05-26.md
│   ├── completed/               # ✅ Archived plans (searchable history)
│   ├── backlog/                 # 📌 Deferred work
│   ├── reports/                 # 📄 Cross-cutting reports
│   └── references/              # 📚 Research outputs
└── features/
    └── billing/                 # 🏷️ Feature-scoped (5+ artifacts)
        ├── active/
        ├── completed/
        ├── backlog/
        ├── reports/
        └── references/

🏗️ Phase Programs — Large Projects That Don't Fall Apart

Normal features use one plan. Large multi-phase projects use a phase program — an umbrella plan plus individual phase plans, each with its own validation gate.

%%{init: {'theme': 'base', 'themeVariables': {'fontSize': '16px', 'lineColor': '#8888AA'}} }%%
flowchart TD
    UP["🎯 Umbrella Plan\nOverall program goal"]
    P1["📋 Phase 1 Plan"]
    P2["📋 Phase 2 Plan"]
    P3["📋 Phase 3 Plan"]

    R1["🔍 Re-Research"]
    E1["⚡ Execute"]
    V1["✅ Validate"]
    RP1["📄 Durable Report"]

    R2["🔍 Re-Research"]
    E2["⚡ Execute"]
    V2["✅ Validate"]
    RP2["📄 Durable Report"]

    UP --> P1
    UP --> P2
    UP --> P3

    P1 --> R1
    R1 -->|"approval"| E1
    E1 --> V1
    V1 --> RP1
    RP1 -.->|"learnings feed\nnext phase"| R2

    P2 --> R2
    R2 -->|"approval"| E2
    E2 --> V2
    V2 --> RP2

    style UP fill:#1565C0,stroke:#0D47A1,color:#FFFFFF
    style P1 fill:#E65100,stroke:#BF360C,color:#FFFFFF
    style P2 fill:#E65100,stroke:#BF360C,color:#FFFFFF
    style P3 fill:#E65100,stroke:#BF360C,color:#FFFFFF
    style R1 fill:#1565C0,stroke:#0D47A1,color:#FFFFFF
    style E1 fill:#C62828,stroke:#B71C1C,color:#FFFFFF
    style V1 fill:#2E7D32,stroke:#1B5E20,color:#FFFFFF
    style RP1 fill:#6A1B9A,stroke:#4A148C,color:#FFFFFF
    style R2 fill:#1565C0,stroke:#0D47A1,color:#FFFFFF
    style E2 fill:#C62828,stroke:#B71C1C,color:#FFFFFF
    style V2 fill:#2E7D32,stroke:#1B5E20,color:#FFFFFF
    style RP2 fill:#6A1B9A,stroke:#4A148C,color:#FFFFFF

Key features:

🧠 Context Groups — Organized Knowledge, Not One Giant File

Project knowledge is organized into context groups — durable knowledge domains, each with an all-{group}.md router that tells agents what to read and when.

process/context/
├── all-context.md              # 🧭 Root router — architecture, stack, patterns, conventions
├── tests/
│   └── all-tests.md            # 🧪 Test runners, commands, debugging procedures
├── container/
│   └── all-container.md        # 🐳 Docker, deployment, infra procedures
├── uxui/
│   └── all-uxui.md             # 🎨 Components, design tokens, patterns
├── infra/
│   └── all-infra.md            # 🖥️ Worker nodes, provisioning, DNS
├── skills/
│   └── all-skills.md           # ⚡ Skill runtime, app architecture
├── workflows/
│   └── all-workflows.md        # 🔄 Workflow runtime, deployment
└── {your-domain}/
    └── all-{domain}.md         # 📚 Any knowledge domain with 3+ durable docs

📁 Feature Folders — Self-Organizing Project Memory

When a topic accumulates 5+ artifacts, it gets its own feature folder — a complete lifecycle container.

process/features/{feature}/
├── active/       # 📋 Plans currently being worked on
├── completed/    # ✅ Archived plans (searchable decision history)
├── backlog/      # 📌 Deferred work (agents check before duplicating)
├── reports/      # 📄 Execution reports, post-mortems, validation results
└── references/   # 📚 Research outputs that inform future decisions

🤖 What's Inside

12 Agents

31 Skills (auto-discovered)

💡 Some skills (like vc-xia) were inspired by ClaudeKit by @mrgoonie. We focused on fewer, deeper skills instead of 80+.

🪝 7 Hooks

Where everything lives:

your-project/
├── .claude/
│   ├── agents/              # 🤖 12 agent definitions (.md)
│   ├── skills/              # ⚡ 31 skill modules (each a directory with SKILL.md)
│   └── hooks/               # 🪝 7 lifecycle hooks (.cjs)
├── .codex/
│   └── agents/              # 🔄 Mirrored for Codex compatibility
├── .agents/
│   └── skills -> ../.claude/skills   # 🔗 Symlink for Codex discovery
├── CLAUDE.md                # 📋 Orchestrator config + routing rules
├── AGENTS.md                # 📖 Agent + skill registry
└── process/
    ├── context/             # 🧠 Auto-routed knowledge domains
    ├── general-plans/       # 📋 Cross-cutting plans + reports
    ├── features/            # 🏷️ Feature-scoped lifecycle folders
    └── development-protocols/  # 📜 Shared workflow rules

🔄 Updating

Pull the latest harness improvements:

Run vc-update

💡 Shows a dry-run diff, waits for confirmation. Your process/ directory and project-specific content are never touched.

⭐ Star History

📄 License

MIT