great_cto
FreeClaude Code plugin: 7 specialised subagents (tech-lead, senior-dev, qa-engineer, security-officer, devops, l3-support, project-auditor) orchestrating a full SDLC pipeline — architecture, TDD, 12-angle code review, QA, security audit, deploy. 11 project archetypes auto-detected, 13 compliance framewo
About great_cto
GreatCTO is an AI product builder that automates the full software development lifecycle from idea to deployment. It operates as an orchestration layer above coding agents, using a team of specialist agents (architect, design-advisor, senior-dev, QA, security-officer, devops) to plan, build, review, and gate work. Users describe a product, approve the generated specification (the single human checkpoint), and the tool automatically scaffolds, builds, tests, and deploys a real application with backend, frontend, generated tests, and a live URL. It includes risk-tiered gates (irreversible changes require extra approvals), built-in compliance for regulated industries, and supports 15 US industries across 6 reusable build pipelines. A real-world example shows a feature delivered in 1 hour 26 minutes at $3.40 LLM cost, compared to ~170 hours and $42K traditionally. The existing data also mentions 7 specialist subagents (tech-lead, senior-dev, qa-engineer, security-officer, devops, l3-support, project-auditor), 12-angle code review, 11 project archetypes, 13 compliance frameworks (GDPR/PCI-DSS/HIPAA/SOC2/ISO 27001), and a self-improving knowledge layer.
Key Features
Pros & Cons
- Drastically reduces development time (feature delivery in hours instead of weeks)
- Minimal LLM cost ($3.40 for a real feature)
- Single human checkpoint (spec approval) reduces risk while maintaining oversight
- Generates real, deployable applications (not just scaffolds)
- Specialist agents improve code quality and security
- Risk-tiered gates protect against unintended changes
- Supports multiple industries and compliance frameworks out of the box
- Open source and free to use (LLM costs may apply)
- Requires a human to approve the spec, which may be a bottleneck
- Dependent on LLM costs and availability for automated runs
- Limited to supported industry pipelines and project archetypes
- May not handle highly custom or unconventional architectures without manual intervention
- Existing data suggests it is a Claude Code plugin, limiting ecosystem to Claude users