Early Access • Q2 2026

Turn Requirements into Deployable Applications

Stackwright runs your requirements through a governed pipeline of specialized AI agents—each generating specific artifacts (database schemas, APIs, UI components)—with human approval gates before each critical phase. You get inspectable, production-ready code, not a black box.

Seeking design partners • No credit card required

Stackwright Control Plane
Generating
Requirements Analysis
Complete
Schema Generation
Complete
Component Generation
18 of 24 components
API Generation
Waiting
Security Gate
Approval Required

What Stackwright's AI Code Generator Produces

Real artifacts from Stackwright's generated B2B SaaS application. Not mockups—actual production files.

🗄️

Database Schema with RLS

PostgreSQL
-- HIGH RISK TABLE: users
-- ML-Guided Generation: Enhanced validation
-- Features: RLS policies, tenant isolation

CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  email TEXT NOT NULL UNIQUE,
  name TEXT NOT NULL,
  role TEXT NOT NULL,
  created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
  updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

-- Row-Level Security (CRITICAL for multi-tenancy)
ALTER TABLE users ENABLE ROW LEVEL SECURITY;

CREATE POLICY users_tenant_isolation ON users
  FOR ALL
  USING (
    id = current_setting('app.current_organization_id')::UUID
  );
File: sql/users.sql
⚛️

Type-Safe React Components

TypeScript + Zod
// ML Risk Score: 3/10 (Confidence: 75%)
// Enhanced validation with Zod for bug prevention

'use client'

import { z } from 'zod'
import { useForm } from 'react-hook-form'
import { zodResolver } from '@hookform/resolvers/zod'

const MemberInviteSchema = z.object({
  email: z.string()
    .email('Invalid email format')
    .min(1, 'Email is required'),
  role: z.enum([
    "owner", "admin", "member", "viewer"
  ]),
  message: z.string().optional(),
})

type MemberInviteFormData =
  z.infer<typeof MemberInviteSchema>
File: components/MemberInviteForm.tsx
📦

Complete File Structure

Capsule Output
b2b_saas/
├── sql/
│   ├── 00_trigger_function.sql
│   ├── 01_organizations.sql
│   ├── 02_teams.sql
│   └── 03_organization_members.sql
├── components/
│   ├── MemberInviteForm.tsx
│   ├── OrganizationSettingsForm.tsx
│   └── TeamCreationForm.tsx
├── app/
│   ├── api/
│   │   ├── organizations/route.ts
│   │   ├── teams/route.ts
│   │   └── auth/route.ts
│   └── page.tsx
├── types/
│   ├── database.types.ts
│   └── api.types.ts
└── .acf/
    ├── versions/
    └── audit_trail.json
Generated: 247 files across 7 phases

Build Verification Logs

Quality Gates
Phase 7: Build Verification
├─ TypeScript Compilation: PASSED
│  └─ 0 errors, 0 warnings
├─ ESLint Check: PASSED
│  └─ All files conform to standards
├─ Import Resolution: PASSED
│  └─ All dependencies resolved
├─ Zod Schema Validation: PASSED
│  └─ 18 schemas validated
└─ RLS policy coverage: verified (sample capsule)
   └─ All tables have tenant isolation

Status: READY FOR DEPLOYMENT
Deployment Target: Vercel
Automated quality checks before deployment

Want to learn more about our enterprise features or see how the pipeline works?

Why Current AI Code Tools Fall Short for Enterprises

🚫

No Enterprise Governance

Copilot and Cursor generate code freely without approval gates, audit trails, or compliance controls—risky for regulated industries.

🔁

Same Bugs, Every Project

AI tools lack memory—they regenerate the same security flaws and validation bugs you've fixed before. Learn how Stackwright prevents this.

⌨️

Terminal-First, Not Team-Friendly

Most AI tools require CLI expertise. Product managers and designers can't participate in the build process. Join our design partner program.

The Only Platform With All Three

Visual Control Plane + Self-Learning AI + Enterprise Governance

Stackwright is the only platform that combines an intuitive visual interface, self-learning AI that prevents recurring patterns, and enterprise-grade governance—all in one system.

  • Visual Control Plane: Build through UI, not terminal—PMs and designers can participate
  • Self-Learning AI: A Neo4j-backed knowledge graph captures recurring failure and integration patterns across capsule builds, while ML models use those signals to prevent re-introduction in subsequent generations.
  • Enterprise Governance: Approval gates, audit trails, SOLID validation, rollback safety—compliance built-in
  • Claude Code Flexibility: Full code modification freedom when you need it, with governance guardrails
🐛
Bug Found
🔧
You Fix It
🧠
Stackwright Learns
Prevention Next Time

Learning is derived from structured signals (diffs, validations, and integration outcomes), not raw customer source code by default.

Production-Ready B2B SaaS Features

Everything you need to launch a B2B SaaS application, automatically generated and validated.

🔐

Complete Auth & RBAC

Supabase authentication with email/password + magic links. Four roles (Owner, Admin, Member, Viewer) with full permission matrix.

🏢

Multi-Tenancy Out-of-Box

Organizations, teams, and PostgreSQL RLS policies for secure data isolation. Enterprise-ready architecture from the start.

Type-Safe APIs

Server-side API routes with TypeScript strict mode, Zod validation, and automatic error handling. Designed to reduce runtime failures.

🎨

Modern UI Components

Next.js 14, React, TypeScript, and Tailwind CSS. Beautiful, responsive components that follow SOLID principles.

🚀

Automated Deployment

One-click Vercel deployment with CI/CD templates. From requirements to production URL.

🛡️

Enterprise Governance

SOLID validation, quality gates, approval workflows, and full audit trails. The flexibility of Claude Code WITH governance.

Governed 7-Phase Pipeline with Approval Gates

Stackwright decomposes application generation into discrete responsibilities—database design, security policy generation, API wiring, UI composition, and integration validation—each owned by a role-bound agent with a narrow, auditable scope. Outputs are reviewed at the boundary between responsibilities with explicit approval gates before proceeding.

Phase 1

Requirements Analysis

AI parses requirements and extracts entities

→ Entities, relationships, assumptions
Phase 2

Schema Generation

Designs database with RLS policies

→ SQL files with tenant isolation
🛡️
SCHEMA GATE

Tech Lead reviews database design before dependent code generation

Phase 3

Security Generation

Creates authentication & authorization

→ RLS policies, RBAC rules
🔐
SECURITY GATE

Admin reviews access control before proceeding to components

Phase 4-6

Types, Components, APIs

Generates TypeScript types, React components, Next.js API routes

→ Type-safe, validated full-stack code
Phase 7

Build Verification

Validates TypeScript, ESLint, imports

→ Deployment-ready artifacts
🚀
DEPLOYMENT GATE

Tech Lead confirms deployment configuration and platform settings

Rejection with Feedback: At any gate, you can reject with structured reasons and detailed revision requests. AI uses your feedback to regenerate. Request early access to try it yourself.

What Stackwright Is NOT

Stackwright is purpose-built for governed, multi-agent code generation—not another chat assistant.

NOT a Chat-Based Code Assistant

Unlike Copilot or Cursor, Stackwright doesn't generate code line-by-line in your editor. It orchestrates specialized agents through a governed pipeline to produce complete, integrated applications.

NOT a Template Generator

Stackwright doesn't fill in templates. It uses AI agents to design schemas, generate components, and create APIs tailored to your specific requirements—with ML-guided validation to prevent known bug patterns.

NOT a Black-Box Autonomous System

You don't "prompt and pray." Stackwright requires human approval at 3 gates (schema, security, deployment). Tech leads control what gets built, with full audit trails and rejection feedback loops.

IS a Governed Multi-Agent Pipeline

Stackwright is a human-steerable orchestration platform with specialized agents (schema, security, API, UI), approval gates, change management, and complete traceability. You get inspectable artifacts, not opaque outputs.

Stackwright vs GitHub Copilot, Cursor, and v0

This comparison contrasts AI code assistants and UI generators with Stackwright's governed, inspectable software-factory approach.

GitHub Copilot
Cursor
Vercel v0
Stackwright
Visual Control Plane
⚠ UI-only
✓ Full-stack control plane
Self-Learning AI (Knowledge Graph)
✓ Persistent knowledge graph + feedback loops
Enterprise Governance
⚠ Basic repository controls
✓ Explicit governance model with enforced gates
Approval Gates & Audit Trails
✓ Human approval gates and auditable decisions
Bug Pattern Prevention
✓ Pattern learning across generated systems
Multi-tenant SaaS Generation
✓ Built-in RBAC + database-level RLS
Path to Production
Weeks (manual integration)
Days (developer-driven)
Days (UI-focused)
Governed pipeline from requirements to deployable artifacts

Time references indicate workflow ownership, not raw generation speed.

Stackwright vs Blitzy and Base44: Enterprise Code Generation

Some platforms focus on accelerating application scaffolding. Stackwright focuses on governing how complete systems are generated, validated, and evolved.

Dimension
Blitzy
Base44
Stackwright
Primary Abstraction
Code generation accelerator
App scaffolding platform
Governed agent pipeline
Governance Model
Implicit, developer-managed
Limited, platform-managed
Explicit approval gates
Artifact Inspectability
Partial (code-level)
Partial (generated outputs)
First-class across all layers
Learning & Feedback Loop
Static prompts
Static templates
Knowledge graph + cross-capsule learning
Multi-tenant Readiness
Manual
Partial
Built-in RBAC + RLS
Human-in-the-Loop Control
Developer responsibility
Platform constrained
Designed-in, phase-based control

Stackwright is designed for teams that need to reason about how systems are produced — not just how fast code appears.

Stackwright is not a chat-based code assistant, a template generator, or a black-box autonomous builder. It is a governed software factory where each agent action is observable, reviewable, and auditable before becoming part of a production system. Become a design partner to experience it firsthand.

Comparisons reflect publicly documented capabilities and architectural intent, not marketing claims.

Commercial model

Stackwright is designed for teams building production systems.
Early access is offered through a design partner engagement.

Request Early Access

Become a design partner and help shape Stackwright's governed multi-agent pipeline. Launching Q2 2026.

We'll notify you when early access opens. No spam, ever.

You're on the list!

We'll reach out when early access opens.