System_Online

All-in-oneAI-DrivenDevelopment Platform

Compozy orchestrates your AI coding agents into one structured pipeline — from business request to merged pull request — so teams ship faster with full traceability and less rework.

System_Access: 14_Days_Free

Available for macOS, Windows, and Linux.

Tech Decoration
>> SYS.PIPELINEOrchestration Engine v2.4
ONLINE
PRD
Spec
Code
Review
Deploy
Throughput1.2k/s
Latency14ms
Autonomous Mode
Tech Decoration
CORE_MODULE

Spec-Driven
DEVELOPMENT

Self-healing architecture designed for highly concurrent factory loops.

01
Spec ParsingPRD → Technical Blueprint
Agent LooperAutonomous execution
03
Auto ReviewEvery task validated
04
PR DeliveryFull audit trail to source
STATUS: SECUREOPT_LEVEL_9
Tech Decoration
Metrics$0.002
+10x SPEED
Q1
Q2
Q3
Q4
Q5
BaselineCompozy
Tech Decoration
sys.stdout // logs
>_ Awaiting stream connection...

See the Full Pipeline in Action

Watch a feature go from Linear issue to merged PR — with PRD generation, parallel execution, and automated code review.

What Compozy Does

From Business Request to Merged PR.

Your team uses five AI tools with zero shared context. Compozy connects them into one auditable pipeline — so features ship with structure, not guesswork.

01
Unified Control

One Interface for Every AI Engine

Run Claude Code, Codex, Gemini, Ollama, and 8 more providers without switching tabs, re-explaining context, or losing your place.

Your team runs three AI tools in five browser tabs and none of them share context. Compozy puts 11+ providers behind one orchestration layer. Compare outputs side-by-side, swap models mid-task, and keep every interaction in a single timeline.

  • 11+ providers — including local models via Ollama — in one interface
  • Compare outputs side-by-side to pick the best result per task
  • Swap engines mid-task without losing context or history
Select Provider
ClaudeClaude Code
02
End-to-End Pipeline

Issue In, Pull Request Out

Every feature follows a traceable path: Issue → PRD → Tech Spec → Tasks → PR. Nothing gets lost between handoffs.

Features don’t start with code — they start with a business request. Compozy syncs issues from Linear, runs them through a structured pipeline, and produces PRDs, Tech Specs, tasks, and a Pull Request. Every artifact links back to its source. Jira and Trello support coming soon.

  • Bidirectional sync with Linear — issues, statuses, and attachments stay current
  • Full audit trail from PR back through tasks, specs, and the original issue
  • PRDs auto-attach to Linear so stakeholders never ask ‘where’s the spec?’
3 tasks
Tasks Creator
I’ve analyzed the Tech Spec and identified 3 independent tasks for the authentication module.
Generated Tasks
3 tasks
Implement OAuth2 provider integration
Create session management middleware
Add role-based access control guards
Synced from Linear · AUTH-142 · Status: In Progress
03
Parallel Execution

Ship Features in Parallel, Not in Sequence

Multiple agents work simultaneously — each in its own isolated git worktree — so your feature ships in one cycle, not three.

Sequential execution is the bottleneck nobody talks about. While one agent waits, everything stalls. Compozy splits features into independent tasks and runs them in parallel, each in its own worktree. One writes the API, another builds the UI, a third writes tests — all at once. Zero merge conflicts by design.

  • Tasks run simultaneously across separate agents, not queued one after another
  • Each agent gets its own git worktree — zero merge conflicts by design
  • API, UI, and tests built at the same time by different agents
Tasks3/5
Implement OAuth2 provider
3m 12sOpus
Create session middleware
1m 48sSonnet
Add RBAC guards
2m 04sHaiku
Write integration tests
1m 23sCodex
Update API documentation
Haiku
Execution Log
1m 23s
Streaming
$Creating test file auth.test.ts...
$Writing OAuth flow tests...
>describe('OAuth2 Integration', () => {
> it('should redirect to provider', async () => {
> const res = await request(app)
> .get('/auth/oauth/google')
_
04
Persistent Context

Your AI Remembers What You Already Explained

PRDs and Tech Specs act as persistent memory. Every agent starts informed — no re-prompting, no pasting the same context into every session.

The biggest hidden cost of AI-assisted development? Re-explaining your project every single session. Compozy uses structured documents as mid-term memory so agents start with full context without bloating token windows. No more copy-paste rituals. Independent executions share understanding, not token budgets.

  • PRDs and Tech Specs persist across sessions as reusable project memory
  • Agents start fully informed — skip the ‘let me re-explain the codebase’ tax
  • Structured references replace copy-paste context dumps
Artifacts
6 artifacts found
PRD2h ago
Auth System PRD

OAuth2 + SSO integration with role-based access for enterprise teams. Covers IdP requirements and session management.

AUTH-142compozy-api
vv2
TechSpec4h ago
OAuth2 Tech Spec

Architecture for provider abstraction, token refresh, and session middleware integration with Better Auth.

AUTH-142compozy-api
vv1
PRD1d ago
Dashboard Redesign

New analytics dashboard with real-time metrics, cost tracking, and agent performance insights.

DASH-087compozy-web
vv1
Prompt2d ago
Code Review Prompt

Reusable prompt template for automated code review with security and performance checks.

Sharedcompozy-api
vv3
05
Model Intelligence

The Right Model for the Right Task

Assign Opus for architecture decisions, Haiku for quick fixes, Codex for generation — at the global, issue, or individual task level.

A typo fix and an architecture decision don’t need the same model. Today’s tools force you to pick one for everything. Compozy introduces a 3-level hierarchy: set global defaults, override at the issue level, fine-tune per task. Match model power to task complexity and stop overpaying for simple work.

  • 3-level hierarchy: global defaults → issue overrides → task-specific selection
  • 11+ providers with no vendor lock-in — including local models via Ollama
  • Cut costs by routing simple tasks to lightweight models automatically
06
Specialized Agents

Dedicated Agents, Not One-Size-Fits-All Chat

Each pipeline stage gets its own purpose-built agent — PRD creation, tech specs, task breakdown, and automated execution.

General-purpose AI tries to do everything and specializes in nothing. Compozy ships agents tuned for each pipeline stage. PRD Creator runs guided brainstorming. Tech Spec Creator produces architecture and risk analysis. Tasks Creator breaks specs into work units. Looper handles execution. One agent, one job, done well.

  • PRD Creator, Tech Spec Creator, Tasks Creator, and Prompt Maker cover planning end-to-end
  • Looper: the execution engine that runs tasks without babysitting
  • Oracle (codebase Q&A) and Bug Finder (AI debugging) coming soon

New agent session

Choose an agent type to start a new session.

  • PRD Creator
  • Tech Spec Creator
  • Tasks Creator
  • Prompt Maker
  • Issue Chat
  • Looper
  • Oracle
    Coming Soon
  • Bug Finder
    Coming Soon
07
Guided Intelligence

AI That Thinks Before It Types

Multi-round clarification, codebase analysis, and structured approach selection — before a single line of code is written.

Most AI tools generate first and fix later. Compozy reverses that. Before producing output, the system asks clarification questions, analyzes your codebase in parallel, and presents 2–3 structured approaches with trade-offs. You pick the direction. The AI builds on a decision, not a guess.

  • Multi-round clarification questions before generating anything
  • 2–3 structured approaches with pros, cons, and trade-offs — you choose
  • Each section validated and approved before proceeding to the next
PRD CreatorBrainstorming
Clarification Questions

What authentication method should the system prioritize?

AOAuth2 with SSO (Google, GitHub, Okta)Recommended
BMagic Link (passwordless email)
CEmail + Password with 2FA
DOther (specify)
Select an Approach1 / 2
OAuth-First Architecturefeatures.mockups.brainstorm.approach1Recommended

Leverages existing identity providers for enterprise SSO. Stateless JWT with secure token refresh.

Pros
Enterprise-ready with IdP support
No password management needed
Cons
Requires IdP configuration per client
Magic Link + RBAC
08
Business + Engineering

One Workspace for PMs and Engineers

PRDs and Tech Specs live side by side. Phase gates enforce planning before coding. Stakeholders see progress without chasing updates.

PMs write requirements in one tool. Engineers interpret them in another. Misalignment surfaces weeks later as rework. Compozy creates a shared workspace where business and engineering artifacts sit together, phase gates prevent jumping to code without a spec, and everything syncs to Linear automatically.

  • Phase gates enforce the pipeline: no tasks without a spec, no spec without a PRD
  • Organization-wide artifact library — browse every PRD, Tech Spec, and Prompt
  • Linear sync gives stakeholders visibility without changing their workflow
PRD
Techspec
Tasks
Execution
Synced from Linear · AUTH-142 · Assigned to Sarah (PM)
Tech Spec

OAuth2 Provider IntegrationReview Required

Architecture for multi-provider authentication with token refresh and session management.

1. Architecture Overview

Provider abstraction layer supporting Google, GitHub, and Okta SSO. Stateless JWT with refresh token rotation.

2. Security Requirements

  • PKCE flow for all OAuth providers
  • Token refresh with rotation policy
  • Rate limiting on auth endpoints
JD
AI
Awaiting engineering review
Ecosystem

Orchestrate anyAgentorTool.

Compozy doesn’t replace your AI coding tools. It gives them memory, context, and a shared definition of done.

AI Providers

Claude
Connected

Claude Code

Z.AI
Connected

Z.AI

OpenRouter
Connected

OpenRouter

Vercel
Connected

Vercel

Moonshot
Connected

Moonshot

Ollama
Connected

Ollama

OpenCode
Connected

OpenCode

Codex
Connected

Codex

Gemini
Soon

Gemini

Integrations

GitHub
Core

GitHub

Automatic worktree creation and repository mapping. Every agent operates in its own isolated branch — no manual setup required.

Linear Logo
Connected

Linear

Issues sync in real-time. Status updates flow bidirectionally as work moves from planning to coding to review.

Jira
Coming Soon

Jira

Turn Jira tickets into structured PRDs automatically. Merged PRs link back to the parent Epic for full traceability.

Confluence-blue
Coming Soon

Confluence

Your wikis and docs become agent context. Compozy reads existing documentation before writing a single line of code.

Slack Logo
Coming Soon

Slack

Agents notify you only when they need a decision or a plan is ready for approval. No noise, no babysitting.

Notion Logo
Coming Soon

Notion

Import product specs directly. Notion pages become structured tech specs and tasks automatically.

Missing a critical part of your stack?

Pricing_Model_v2.0

PredictablePricing.

Stop paying per-seat for AI editors that don’t talk to each other. Pay for one layer that orchestrates all of them.

14-Day Free Trial

Studio

$4.17/ seat / month
Billed $50 yearly

For teams shipping products who need automated orchestration and structured workflows.

Start Free Trial
Unlimited Orchestration: Unlimited Orchestration
Repo Mapping: Repo Mapping
Parallel Execution (4 threads): Parallel Execution (4 threads)
Executor Access: Executor Access
Native Integrations: Native Integrations
Mid-Term Memory: Mid-Term Memory
14-Day Free Trial

Enterprise

Custom/ volume pricing
Tailored Solutions

For organizations that need custom deployment, dedicated support, and volume pricing.

Includes Studio features +

Custom Deployment: Self-hosted or private cloud deployment configured for your infrastructure.
Priority Support: Dedicated success manager with SLA guarantees.
Dedicated Onboarding: Account manager for rollout planning, training, and ongoing support.