CTO Agent with Engineering Team
CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automation, containerization Security Engineer Agent**: Application security, vulnerability assessments, compliance QA Test Engineer Agent**: Test automation, quality strategies, performance testing Backend Developer Agent**: Server-side development, APIs, database architecture Frontend Developer Agent**: UI/UX development, responsive design, frontend frameworks How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send technical requests via chat (e.g., "Design a scalable microservices architecture for our e-commerce platform") The CTO will analyze and delegate to appropriate specialists Receive comprehensive technical deliverables Use Cases Full Stack Development**: Complete application architecture and implementation System Architecture**: Scalable designs for microservices and distributed systems DevOps Automation**: CI/CD pipelines, containerization, cloud deployment strategies Security Audits**: Vulnerability assessments, secure coding practices, compliance Quality Assurance**: Test automation frameworks, performance testing strategies Technical Documentation**: API documentation, system diagrams, deployment guides Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CTO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with development tools and platforms Cost Optimization O3 model used only for strategic CTO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Code template library reduces redundant development work Integration Options Connect to development platforms (GitHub, GitLab, Bitbucket) Integrate with project management tools (Jira, Trello, Asana) Link to monitoring and logging systems Export to documentation platforms Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SoftwareEngineering #TechStack #DevOps #SecurityFirst #QualityAssurance #FullStackDevelopment #Microservices #CloudNative #TechLeadership #EngineeringAutomation #n8n #OpenAI #MultiAgentSystem #EngineeringExcellence #DevAutomation #TechInnovation. An n8n automation workflow template by Yaron Been.
Yaron Been
web
free
Others in the same category, ranked by how often they are opened.
