NextAI Dev Framework


NextAI Dev Framework is a spec-driven workflow for planning and executing software development with AI coding assistants. Instead of a magic autonomous agent, you get structured phases, human checkpoints, and artifacts at every step. No API keys required.

Why NextAI?

AI coding assistants are powerful but chaotic without structure. They lose context, skip steps, and don't know when something is truly "done." NextAI adds a lightweight 7-phase workflow that keeps you in control while AI handles the heavy lifting.

Key outcomes:
- Specs are written and approved before implementation begins
- Human checkpoints at every phase transition
- Artifacts (requirements, specs, tasks, reviews) create an audit trail
- Works with the AI tools you already use: Claude Code, OpenCode

How It Works

``
┌────────────────────┐
│ Create Feature │ /nextai-create
│ (describe idea) │
└────────┬───────────┘
▼
┌────────────────────┐
│ Refine Spec │◀─────────────────┐
│ (Q&A with AI) │ │ more questions?
└────────┬───────────┘──────────────────┘
│ spec approved
▼
┌────────────────────┐
│ Implement │◀─────────────────┐
│ (AI writes code) │ │
└────────┬───────────┘ │
│ tasks complete │
▼ │
┌────────────────────┐ │
│ Review │──────────────────┘
│ (AI checks spec) │ review failed
└────────┬───────────┘
│ review passed
▼
┌────────────────────┐
│ Test │◀─────────────────┐
│ (you verify) │ │ test failed
└────────┬───────────┘──────────────────┘
│ test passed
▼
┌────────────────────┐
│ Complete & Archive │ /nextai-complete
└────────────────────┘

1. Create a feature with your idea or proposal.
2. Refine the spec—AI asks questions, you answer until spec is approved.
3. Implement—AI codes, you monitor. Review happens automatically.
4. Review—AI validates against spec.
5. Test—You verify manually and log results.
6. Archive the completed feature with a summary.
`

The Problem

AI can write code, analyze architecture, and generate tests—but today's tools treat these as isolated tricks, not part of a real development workflow.

- Ideas stay vague, specs are incomplete
- AI assistants generate wrong code when context is missing
- Developers waste time rewriting prompts, correcting output
- Tools like Claude Code edit well, but don't manage the lifecycle
- Jira/Linear manages tasks but is disconnected from AI execution
- Fully autonomous agents fall apart in messy, real-world repos

We have powerful ingredients but no recipe.

What NextAI Is

NextAI is the workflow layer that AI coding tools are missing—it turns AI from a reactive assistant into a predictable development partner.

It doesn't replace Claude Code or OpenCode—it makes them more effective by providing structure, state management, and human checkpoints through a "Generate + Delegate" architecture.

| What NextAI Is | What NextAI Is NOT |
|----------------|---------------------|
| A structured 7-phase workflow | A magic autonomous agent |
| A state manager for features | A replacement for your AI client |
| A framework YOU operate | A "set it and forget it" tool |
| Human-in-the-loop by design | Fully automated end-to-end |

Why Operator-Driven (Not Fully Automated)

This is a deliberate design choice, not a limitation.

Autonomous agents fail in real-world codebases because:
- They lose context over long tasks
- They can't validate business requirements
- They skip important steps when unsupervised
- They don't know when something is truly "done"
- They make architectural decisions without understanding tradeoffs

NextAI's philosophy: AI should augment your judgment, not replace it. You make decisions—agents do the heavy lifting.

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- Better specs (you answer clarifying questions)
- Faster development (AI handles implementation)
- Fewer mistakes (validation gates catch issues)
- More confidence (you test and approve)
- A smooth path from idea → shipped feature

Who It's For

Solo builders and small teams who want AI leverage without losing control:

- Product-minded tech leads — You steer the work, not write every line. You need structured refinement, architecture checks, and predictable checkpoints.
- Cross-stack developers — You ship code across unfamiliar stacks. You need detailed specs, scaffolding, and AI that fills gaps without breaking things.

Core Capabilities

| Capability | Description |
|------------|-------------|
| 7-Phase Workflow | Created → Refinement → Spec → Implementation → Review → Testing → Complete |
| State Management | Tracks features through phases with validation gates |
| Human Checkpoints | You approve specs, verify tests, and control transitions |
| Reusable Skills | Structured prompts for common patterns (debugging, spec writing, reviewing) |
| Generate + Delegate | NextAI generates commands, your AI client executes them—no API keys needed |
| Works With Your Tools | Syncs slash commands to Claude Code, OpenCode |

Getting Started

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- Node.js >= 18.0.0
- An AI coding assistant — Claude Code or OpenCode

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`bash
npm install -g @frontztech/nextai-dev
`

The CLI command is nextai.

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`bash
cd my-project
nextai init
`

This creates:
- .nextai/ — Configuration, agents, skills
- nextai/ — Feature tracking directories (todo/, done/, docs/, metrics/)
- Syncs slash commands to your AI client

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From this point forward, everything happens in your AI client (Claude Code or OpenCode).

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`
/nextai-analyze
`

This scans your codebase and generates nextai/docs/ with:
- Architecture overview
- Tech stack documentation
- Coding conventions
- Entry points and structure

Without this step, agents won't understand your project.

$3

`
/nextai-create
`

Describe your idea when prompted—whether it's a complex feature, a bug to fix, or a simple task. The AI will:
- Capture your proposal
- Scaffold the item folder
- Fill the initialization document

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Follow the suggested commands. Each phase produces artifacts and suggests the next step.

Upgrading NextAI

When a new version of NextAI is released, follow these steps to upgrade:

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`bash
npm install -g @frontztech/nextai-dev@latest
`

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`bash
cd my-project
nextai init
`

This updates framework files in .nextai/ to the latest version. Your customizations in your AI client's config directory (e.g., .claude/) are preserved.

$3

`bash
nextai sync
`

This syncs the updated commands, agents, and skills to your AI client. The output shows what changed:

`
Commands: 13 (1 new, 2 updated)
Agents: 7 (no changes)
Skills: 8 (1 updated)
`

That's it! Framework files auto-update, and your customizations are protected.

Command Reference

All commands run in your AI client (Claude Code or OpenCode). The only terminal command you need is nextai init.

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| Command | When to Use | What Happens |
|---------|-------------|--------------|
| /nextai-create | Start new work | Describe your idea, AI scaffolds feature |
| /nextai-refine | After create | AI gathers requirements, writes spec |
| /nextai-implement | After refinement | AI implements tasks from spec |
| /nextai-review | After implementation | AI reviews code against spec |
| /nextai-testing | After review passes | Log your manual test results |
| /nextai-complete | After testing passes | AI generates summary, archives |

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| Command | When to Use | What Happens |
|---------|-------------|--------------|
| /nextai-analyze | After init, periodically | Scans codebase, generates docs |
| /nextai-list | Check status | Shows all features with phases |
| /nextai-show | Deep dive | Displays feature details and artifacts |
| /nextai-resume [id] | Continue work | Shows where you left off, suggests next step |
| /nextai-status | Check/update status | Shows or updates feature status (block status, retry count) |
| /nextai-remove | Remove unwanted feature | Moves feature to nextai/removed/ |
| /nextai-sync | After config changes | Re-syncs commands to AI client |
| /nextai-repair [id] | Something's wrong | Diagnoses and fixes state issues |

Typical Workflow Session

All commands below run in your AI client:

`


Start a new feature

/nextai-create
> "I want to add a password reset flow with email verification"

→ Created: 20251206_add-password-reset-flow

Refine the feature

/nextai-refine 20251206_add-password-reset-flow

AI asks: "What email service? Token expiry? etc."

You answer questions, AI generates spec.md and tasks.md

Implement

/nextai-implement 20251206_add-password-reset-flow

AI works through tasks, you monitor

→ Review starts automatically after implementation

Test manually, then log results

/nextai-testing 20251206_add-password-reset-flow

AI asks: "Did it pass? Any notes?"

You: "Pass - tested reset flow end-to-end"

Complete and archive

/nextai-complete 20251206_add-password-reset-flow

AI generates summary, moves to nextai/done/

`

Project Structure

After nextai init:

`
my-project/
│
├── .nextai/ # NextAI configuration (source of truth)
│ ├── config.json # Project settings
│ ├── profile.json # Project identity
│ ├── agents/ # Agent definitions (7 agents)
│ ├── skills/ # Reusable skill templates (7 skills)
│ ├── templates/commands/ # Slash command templates
│ └── state/
│ ├── ledger.json # Feature lifecycle tracking
│ ├── session.json # Current session info
│ └── history.log # Audit trail (JSONL)
│
├── .claude/ # Claude Code integration (if selected)
│ ├── commands/nextai-*.md # Slash commands
│ ├── agents/nextai/ # Subagents
│ └── skills/nextai/ # Skills
│
├── .opencode/ # OpenCode integration (if selected)
│ ├── command/nextai-*.md # Slash commands
│ └── agent/nextai-*.md # Agents (skills embedded in agent files)
│
├── nextai/ # NextAI content directory
│ ├── todo/ # Active features
│ │ └── 20251206_add-user-auth/
│ │ ├── planning/
│ │ │ ├── initialization.md # Your original request
│ │ │ └── requirements.md # Product Q&A results
│ │ ├── attachments/
│ │ │ ├── design/ # UI mockups, wireframes
│ │ │ ├── evidence/ # Logs, bug screenshots
│ │ │ └── reference/ # External docs, examples
│ │ ├── spec.md # Technical specification
│ │ ├── tasks.md # Implementation checklist
│ │ ├── review.md # AI review results
│ │ └── testing.md # Your test log
│ │
│ ├── done/ # Archived completed features
│ │ └── 20251206_add-user-auth/
│ │ ├── summary.md # Completion summary
│ │ └── [all artifacts] # Preserved for history
│ │
│ ├── docs/ # Project docs (from /nextai-analyze)
│ │ ├── architecture.md
│ │ ├── technical-guide.md
│ │ ├── conventions.md
│ │ └── history.md # Feature archive log
│ │
│ └── metrics/ # Metrics and analytics
`

The 7 Phases

| Phase | Trigger | Produces | Gate |
|-------|---------|----------|------|
| created | /nextai-create | initialization.md | Folder exists |
| product_refinement | /nextai-refine | requirements.md | Q&A complete |
| tech_spec | /nextai-refine (continues) | spec.md, tasks.md | Both files exist |
| implementation | /nextai-implement | Code changes | All tasks checked |
| review | /nextai-review | review.md | PASS verdict |
| testing | /nextai-testing | testing.md | You mark pass |
| complete | /nextai-complete | summary.md | Archived to nextai/done/ |

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Before any phase transition, NextAI validates:
- Required files exist
- Content meets minimum requirements
- Previous phase completed successfully

Use --force to bypass (logged for audit).

Agents & Skills

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| Agent | Role | When Active |
|-------|------|-------------|
| Product Owner | Requirements gathering via Q&A | Refinement |
| Technical Architect | Spec and task list writing | Refinement |
| Developer | Code implementation | Implementation |
| Reviewer | Code review against spec | Review |
| Document Writer | Summary and docs | Complete |
| Investigator | Bug analysis, root cause | Bug workflows |
| AI Team Lead | Orchestration | All phases |

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| Skill | Purpose |
|-------|---------|
| refinement-product | Structured product requirements Q&A loop |
| refinement-technical | Codebase analysis, technical Q&A, spec authoring |
| executing-plans | Step-by-step task execution |
| reviewer-checklist | Code review validation |
| documentation-recaps | Changelog and docs updates |
| root-cause-tracing | Backward bug tracing |
| systematic-debugging | 4-phase debugging framework |

Configuration

NextAI uses a "Generate + Delegate" architecture:

- No API keys needed — Uses your existing Claude Code / OpenCode subscription
- Generates slash commands that run in your AI client
- The AI client handles all LLM calls — NextAI just manages state

`json
// .nextai/config.json
{
"project": {
"id": "uuid",
"name": "my-project",
"repo_root": "/path/to/project"
},
"clients": {
"synced": ["claude"],
"default": "claude"
}
}
`

Supported AI Clients

| Client | Status | Config Location |
|--------|--------|-----------------|
| Claude Code | Supported | .claude/ |
| OpenCode | Supported | .opencode/ |
| Codex | Planned | — |

Development Flow

NextAI itself is developed using NextAI. Here's the typical development cycle:

`
1. Create a feature → /nextai-create (describe your idea)
2. Refine with AI → /nextai-refine (answer questions, get spec)
3. Implement with AI → /nextai-implement (AI codes, auto-reviews)
4. Test manually → /nextai-testing (you verify it works)
5. Complete & archive → /nextai-complete (AI summarizes, archives)
`

Key insight: Each phase produces artifacts (requirements.md, spec.md, tasks.md, review.md, testing.md, summary.md) that create an audit trail and serve as context for the next phase. Note that code review happens automatically after implementation completes - you don't need to manually trigger /nextai-review.

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`bash
git clone https://github.com/JohnFrontzos/nextAI-dev.git
cd nextAI-dev

npm install
npm run dev # Development mode with watch
npm run build # Production build
npm run test # Run tests
npx tsc --noEmit # Type check
`

Philosophy

1. Operator-driven — You are the operator. You control when to proceed, what to approve, what to reject.
2. Human-in-the-loop — AI handles heavy lifting, you make decisions.
3. Structured process — Seven defined phases with validation gates.
4. Artifact-driven — Every phase produces reviewable outputs.
5. Generate + Delegate — NextAI generates prompts, your AI client executes them.
6. Tool-agnostic — Works with Claude Code, OpenCode, future clients.
7. Transparent — Full audit trail in history.log`.

Acknowledgments

NextAI Dev Framework builds on patterns from open-source projects including OpenSpec, Agent-OS, OpenSkills, and Superpowers.

License

MIT

Ready to become the operator?

npm install -g @frontztech/nextai-dev && nextai init

Then run /nextai-analyze in your AI client to generate project context.

_{AI does the work. You make the calls.}