.png&w=256&q=75)
3
3
1 year of experience

Gemini-powered Gemcloud is a cloud-native development platform built around a collaborative team of four specialized AI agents, each running Gemini 3.1 Pro inside isolated containerized environments. Instead of relying on a single general-purpose coding agent, Gemcloud distributes software engineering responsibilities across dedicated roles to create a more structured and scalable development workflow. The platform’s Designer agent focuses on architecture planning, system structure, and technical decision-making, helping translate high-level ideas into clear engineering direction. The Implementor agent is responsible for feature development and code execution, transforming specifications into working implementations within the repository. The Reviewer agent continuously evaluates code quality, validates implementation correctness, and ensures maintainability through automated review workflows. Meanwhile, the Debugger agent specializes in identifying issues, tracing failures, and resolving bugs across the codebase. Each agent operates independently inside its own Docker container with full Gemini CLI integration, enabling parallel execution while maintaining isolated and reproducible environments. Through the Model Context Protocol (MCP), agents connect directly to GitHub repositories, pull requests, commits, and issues, giving them native awareness of the project lifecycle and engineering workflow. Gemcloud also enables agents to autonomously browse repositories and generate deep, browsable project documentation, ensuring every agent begins with strong contextual understanding rather than spending tokens repeatedly interpreting the codebase. This context-aware, spec-driven workflow allows teams to move from technical specifications to implemented, reviewed, and debugged code entirely in the cloud—without requiring any local setup.
19 May 2026

Codini dispatches containerized Gemini CLI agents powered by Gemini 3.1 with GitHub MCP and deep, agent-generated context. Built for PMs and engineers who want results—not terminal setup. Codini is a cloud-native platform that spins up an agent swarm of containerized Gemini CLI instances, each running the Gemini 3.1 model. Agents connect to your GitHub repositories via the Model Context Protocol (MCP), browse and document your codebase, and execute spec-driven tasks—all without any local setup. - **🤖 Gemini 3.1 Agent Swarm**: Four specialized agents, each running Gemini 3.1 in isolated containers - **Designer**: Architecture and system design - **Implementor**: Code implementation and feature development - **Reviewer**: Code review and quality assurance - **Debugger**: Issue identification and debugging - **📚 Agent-Generated Deep Context**: Gemini CLI agents browse your repository and produce intelligent, browsable documentation automatically - **☁️ Containerized Cloud Execution**: Each agent runs in its own Docker container with full Gemini CLI integration - **🔗 GitHub MCP**: Model Context Protocol gives agents native access to repos, PRs, issues, and commits - **🔄 Spec-Driven Development**: Transform specifications into working code - **🎯 Context-Aware**: Agents start with full project understanding—no wasted tokens on codebase comprehension
19 May 2026

Bobdock is a cloud-native platform that enables developers to command, dispatch, and manage Bob agents in the cloud. It provides a seamless interface for AI-powered software development through specialized agents that handle different aspects of the development lifecycle. Key Features 🤖 Specialized AI Agents: Four distinct agents for different development tasks Designer: Architecture and system design Implementor: Code implementation and feature development Reviewer: Code review and quality assurance Debugger: Issue identification and debugging 📚 Intelligent Documentation: Automatic generation of project documentation from your repository ☁️ Cloud-Native: Run Bob agents in containerized cloud environments 🔄 Spec-Driven Development: Transform specifications into working code 🎯 Context-Aware: Agents understand your project structure and codebase
17 May 2026