ProdigyBuild
An AI-powered project management and software delivery platform that combines sprint planning, AI documentation, code generation, portfolio management, and DevOps integrations into a single cloud-native workspace for engineering teams.
Client
Software Product Company
Timeline
6 Months
Services
Full Stack Development
The Challenge
Software teams relied on multiple disconnected tools for task tracking, sprint planning, documentation, source control, and code reviews creating fragmentation, manual estimation overhead, limited project health visibility, and slow release cycles with no AI-assisted productivity layer.
The Solution
We built a cloud-native platform on AWS Serverless (Lambda + API Gateway + DynamoDB) that unifies the entire SDLC. AI-powered task generation via OpenAI automates sprint planning, documentation, and pull request reviews. GitHub, GitLab, and AWS CodeCommit integrations sync repositories automatically, while real-time WebSocket collaboration keeps all team members in sync across Kanban boards, backlogs, and release milestones.
Key Results
- Built AI-powered sprint planning and task generation using OpenAI
- Integrated GitHub, GitLab, and AWS CodeCommit for seamless version control sync
- Developed Kanban boards, sprint interfaces, and portfolio dashboards
- Implemented AI documentation engine and code assistance features
- Used AWS Serverless architecture for infinite scale with zero server management
- Delivered reusable component architecture improving maintainability and velocity
- Enabled organizations to deliver software faster through intelligent automation