Consolidated into a single agents monorepo:
→ phant0um/claude-agent-dev — updated version lives in fullstack-agent-system/. /plugin installable, MIT.
Skills moved to phant0um/claude-skills.
tags: [fullstack-agent, sistema-multi-agente, claude, time-dev, engenharia] versao: "2.1.0" criado: 2026-05-14 atualizado: 2026-05-29
A senior engineering team composed of 6 specialized agents, orchestrated by a central Orchestrator. Each agent is a senior IT professional — not a tutor. Agents think, write compilable code, build integrations, and run validation tests.
Coordination via File-as-Bus: state lives in files, not in conversation history.
Mandatory Evidence: no deliverable without tests or execution logs.
Security with technical veto: can block any deploy.
fullstack-agent-system/
├── Orchestrator.md ← Maestro: central planner (opus-4-8)
├── Backend-Dev.md ← Stratum: APIs, DB, microservices (sonnet-4-6)
├── Frontend-Dev.md ← Facet: UI/UX, React/Vue, a11y (sonnet-4-6)
├── Infra-Cloud.md ← Bastion: AWS, Terraform, CI/CD (sonnet-4-6)
├── Data-AI.md ← Neuron: ML, ETL, LLMs, RAG (opus-4-8)
├── Security.md ← Sentinel: AppSec, OWASP, compliance (opus-4-8)
├── Forge.md ← Forge: 5E code quality, scoring, refactoring (sonnet-4-6)
├── docs/
│ ├── Constitution.md ← 6 principles that govern all agents
│ ├── agent-model-map.md ← Routing: activity → model → agent
│ ├── standards-anti-patterns.md
│ └── progress.md ← System state (File-as-Bus)
└── adr/
└── 0000-template.md ← Template for Architecture Decision Records
| Agent | opus-4-8 | sonnet-4-6 | haiku-4-5 |
|---|---|---|---|
| Maestro | Complex planning | — | — |
| Stratum | — | APIs, DB, auth, refactoring | Tests, docs, seeds |
| Facet | — | Components, performance, a11y | CSS, E2E, Storybook |
| Bastion | — | IaC, CI/CD, observability | Dockerfiles, YAML, runbooks |
| Neuron | RAG architecture, ML design | ETL, analysis, features | Reports, docstrings |
| Sentinel | Threat modeling, compliance | Code review, IAM | Headers, configs, checklists |
| Forge | — | 5E quality review, refactoring | Score reports, findings |
Estimated savings: ~60–75% vs. using Opus for everything.
# Activate Maestro as project CLAUDE.md
cp Orchestrator.md ./CLAUDE.md
# Specialist agent for a specific repository
cp Backend-Dev.md ./CLAUDE.md # backend repo (Stratum)
cp Frontend-Dev.md ./CLAUDE.md # frontend repo (Facet)
cp Infra-Cloud.md ./CLAUDE.md # infra repo (Bastion)# Backend
.claude/rules/services.md # paths: ["src/**/*.service.ts"]
.claude/rules/tests.md # paths: ["**/*.test.ts", "**/*.spec.ts"]
# Frontend
.claude/rules/components.md # paths: ["src/components/**/*.tsx"]
.claude/rules/styles.md # paths: ["**/*.css", "**/*.scss"]
# Infra
.claude/rules/terraform.md # paths: ["**/*.tf", "**/*.tfvars"]
.claude/rules/kubernetes.md # paths: ["k8s/**/*.yaml"]
# Data
.claude/rules/dbt.md # paths: ["dbt/**/*.sql", "dbt/**/*.yml"]
.claude/rules/ml.md # paths: ["ml/**/*.py"]
# Security
.claude/rules/auth.md # paths: ["src/auth/**", "**/middleware/**"]~/.claude/CLAUDE.md ← Maestro (global, optional)
./CLAUDE.md ← Specialist agent (project)
.claude/rules/*.md ← Conditional rules by path
Maestro reads progress.md
└─→ Breaks task into sub-tasks with done criterion
├─→ Stratum (APIs, DB, microservices)
├─→ Facet (UI, components, a11y)
├─→ Bastion (IaC, CI/CD, deploy)
├─→ Neuron (pipelines, ML, RAG)
├─→ Forge (5E quality review before merge)
└─→ Sentinel (mandatory review on auth/data/infra)
↓
Each specialist delivers:
Deliverable + Evidence + State Update
↓
Maestro validates Evidence, updates progress.md
- Evidence before code — spec exists before implementing; Evidence is mandatory
- Security by default — Security has veto on any deploy
- Tests are not optional — deliverable without tests = incomplete delivery
- Closed scope by default — each agent does exactly what was delegated
- Fail early, fail visibly — errors go to logs, never silent
- System improves every cycle — hill-climbing via Vault SO (hill, review, guard)
Based on the Nexus Agent System and the following sources:
- AiScientist (thin control + thick state, File-as-Bus)
- Agentic Harness Engineering (memory > prompts)
- Multi-Agent Orchestration patterns (Prep Line, Gordon Ramsay)
- RL Conductor (model routing by task type)
Previous version: Professor Fullstack (v1.0) — 4.5 models, no mandatory evidence, educational framing.