All-in-One AI Development Team

11 AI Experts crafting a perfect workflow

From Product Manager to Security Engineer. Explore the complete journey of JARFIS's agent pipeline — turning ideas into production code.

Core Capabilities

What Makes JARFIS Different

Beyond a simple AI coding tool — the experience of a complete AI development team.

11 Expert Agents

PO, Architect, TL, UX, Backend, Frontend, DevOps, QA, Security, Advocate, Critic — 11 specialist agents mirroring a real development team.

11 roles / 1 team

Claude Code Native

Runs purely on Claude Code — no external servers, no API required. Zero-dependency design, ready to use right after install.

0 dependencies

AI-Native Artifacts

11 structured artifacts including press-release, PRD, architecture, and more — designed for AI to read and reuse.

11 artifacts

Self-Evolution

A global learning system that acquires patterns from every workflow. The team grows smarter with every project.

evolving

Development Pipeline

9-Phase Pipeline

From idea to production. At each phase, specialist agents produce structured artifacts.

Discovery

Phase TTriage

PO — Classify requests and determine workflow

classification

Phase 0Pre-flight

PO — Write press release, define vision

press-release

Phase 1Discovery

PO + Architect — Requirements, Working Backwards, PRD, feasibility

PRDworking-backwards

Human Gate 1 — Vision & Requirements Approval

Design & Planning

Phase 2Architecture & Planning

Architect + TL — System architecture, task breakdown, QA test strategy

architecturetasks

Phase 3UX Design

UX — Conditional execution, screen & interaction design

ux-spec

Human Gate 2 — Architecture & Tasks Approval

Implementation

Phase 4Implementation

BE/FE/UX — Code implementation, UI development

codetests

Phase 4.5Operational Readiness

DevOps — Deployment strategy, rollback plan

deployment-planrollback

Human Gate 3 — Implementation Approval

Delivery

Phase 5Review & QA

TL/QA/SE — API contract validation, parallel reviews

test-reportsecurity-audit

Phase 6Retrospective

TL — Knowledge accumulation, retrospective

changeloglearning

Meet the Team

11 AI Experts

Agents with specialized expertise collaborate organically.

Product Owner

Clarifies requirements through reverse questioning. Writes Working Backwards documents and PRDs. Evaluates whether a feature is worth building before a single line of code is written.

RequirementsPRDWorking Backwards

Architect

Assesses technical feasibility and long-term consequences. Produces the system architecture document, Impact Analysis, and Architecture Decision Records (ADRs) that the whole team relies on.

ArchitectureADRImpact Analysis

Tech Lead

Reviews API specs, breaks down tasks into actionable units, conducts code reviews, owns the deployment strategy, and runs the retrospective that feeds lessons back into the system.

Code ReviewTask BreakdownRetrospective

UX Designer

Designs and directly produces SVG assets, design token systems, and brand identity. Defines information architecture, user flows, wireframes, and interaction patterns. Ensures the product is accessible and visually consistent before implementation begins.

SVG AssetsDesign TokensBrand Design

Backend Engineer

Implements server-side APIs, defines data models, and builds backend services following the architecture and API spec produced earlier in the workflow.

API ImplementationData ModelsBackend Services

Frontend Engineer

Builds UI components, manages client-side state, and integrates frontend with backend APIs — driven by the UX spec and task list generated upstream.

UI ComponentsState ManagementAPI Integration

DevOps / SRE

Owns infrastructure configuration, CI/CD pipeline setup, automated deployment, and monitoring. Ensures every release is reproducible and observable.

CI/CDInfrastructureMonitoring

QA Engineer

Designs the test strategy, builds the test pyramid, writes E2E scenarios, and verifies quality gates before any artifact is handed off to the next phase.

Test StrategyTest PyramidE2E Scenarios

Security Engineer

Reviews security posture before code ships. Covers OWASP Top 10, authentication and authorization models, and performs vulnerability analysis on every feature.

OWASP Top 10Auth & AuthZVulnerability Analysis

Advocate

Champions proposed changes to the JARFIS system by analyzing their merits, potential, and user value. Provides concrete scenario-based arguments for why a change should proceed, while honestly acknowledging risks.

Dialectic ReviewChange AdvocacyUser Value

Critic

Critically examines proposed changes to the JARFIS system to identify risks, side effects, and design inconsistencies. Guards system consistency and token economy, presenting concrete failure scenarios and constructive alternatives.

Dialectic ReviewRisk AnalysisSystem Consistency

Why JARFIS

How Is It Different from Traditional AI Tools?

Beyond code completion — an AI team covering the full software development lifecycle.

Category	Traditional AI Tools	JARFIS
Team Structure	Single AI chat assistant	11 domain-expert agents with defined roles
Workflow	Code suggestions you apply manually	Full workflow from press release to retrospective
Artifacts	Code-level output only	11 structured artifacts per project
Quality Control	User-dependent verification	3 Human Gates + QA/SE agents
Learning	Resets every session	Global learning system
Dependencies	External API or server required	Runs on Claude Code alone
Continuity	Interrupts when session ends	Resilient Continuity

* Comparison based on general category patterns, not specific products.

Start with JARFIS Today

Open-source AI development team orchestrator. 5 minutes to install, permanent in effect.

Documentation GitHub