Agentic AI Platform
An AI-powered development platform enabling teams to manage projects with autonomous AI agents. Features intelligent task management, multi-agent orchestration, project checkpointing, and seamless integration with modern development workflows—built with Claude AI, TypeScript, Python, and TensorFlow.
Internal Project
AI & Machine Learning
December 2025
Private/Internal
The Challenge
As AI capabilities advanced rapidly, we identified an internal need for a platform that could harness the power of autonomous AI agents for software development. Traditional project management tools were not designed to handle the unique requirements of AI-assisted development, where multiple agents need to collaborate, maintain context, and execute complex tasks autonomously.
We needed a system that could orchestrate multiple AI agents, manage project states, handle checkpointing for long-running tasks, and provide visibility into agent activities—all while maintaining the flexibility required for rapidly evolving AI capabilities.
Our Solution
We built the Agentic AI Platform from the ground up as a comprehensive development environment for AI-powered software projects. The platform enables teams to create, manage, and monitor AI agents that can autonomously handle development tasks.
Multi-Agent Orchestration
At the core of the platform is a sophisticated agent orchestration system. Each project can have multiple AI agents assigned, each with specific roles and capabilities. The system manages agent lifecycles, handles task distribution, and ensures coherent collaboration between agents working on related tasks.
Intelligent Task Management
The task management system goes beyond traditional ticket tracking. Tasks include detailed context, priority levels, and type classifications. Agents can pick up tasks, report progress, and hand off work to other agents. The system maintains full audit trails of all agent activities.
Project Checkpointing
We implemented a robust checkpointing system that allows projects to be saved and restored at any point. This is crucial for long-running AI tasks, enabling recovery from failures and the ability to branch projects to explore different approaches.
Technical Implementation
The platform is built with TypeScript throughout for type safety and better developer experience. The frontend uses React with a clean, modern interface for project and agent management. The backend leverages Python for AI/ML components, with TensorFlow powering custom model training and inference.
Claude serves as the primary AI backbone, integrated through carefully crafted prompts and context management. PostgreSQL handles structured data with full ACID compliance for critical project state. The entire platform runs on AWS EC2 instances with auto-scaling to handle variable AI workloads.
Results
The Agentic AI Platform has transformed our internal development workflows, enabling us to tackle complex projects with AI assistance that was previously impossible. The platform now manages multiple concurrent projects with dozens of agents, significantly accelerating our development capabilities and serving as a foundation for client AI solutions.