OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Vylor
$10/mStarting price
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About Vylor
Vylor is a cloud-native AI tool designed to plan and execute features that span multiple code repositories. It maps entire codebases and their dependencies without requiring local setup, enabling teams to coordinate multi-repo changes efficiently. The tool accepts tickets from platforms like Jira or Linear, generates real-time implementation plans, and submits coordinated pull requests across all affected repositories. It emphasizes speed and cost efficiency, claiming up to 10x faster execution and lower token costs compared to legacy agents. Vylor supports teams that regularly ship complex tickets involving multiple repositories, prefer thorough planning before coding, and aim to reduce time spent on local environment setup. The platform allows switching between major AI models from OpenAI and Anthropic, with optional self-hosted deployment for advanced security and governance needs.
Key features
- Cross-repository dependency mapping
- Real-time implementation planning
- Automated multi-repo PR generation
- Jira and Linear ticket integration
- Model switching between OpenAI and Anthropic
- Optional self-hosted deployment
- Codebase privacy with no training on user data
- Flexible pricing tiers and task credits
Use cases
- Coordinating frontend and backend changes across repositories
- Planning large features requiring multiple interconnected PRs
- Reducing local setup time for new development tasks
Pros
- Cloud-native setup eliminates local environment friction
- Coordinates multi-repository changes in real time
- Supports major AI models with optional self-hosting
- No codebase storage or use for AI training
- Predictable pricing with subscription and pay-per-task options
Cons
- Limited to indexed repositories per pricing tier
- No free tier beyond basic access
- Requires integration with code host platforms
- Self-hosted option may require additional setup
Frequently asked questions about Vylor
What is Vylor and what does it do?
Vylor is a cloud-native AI tool that plans and executes features spanning multiple code repositories. It maps entire codebases and their dependencies without requiring local setup, accepts tickets from platforms like Jira or Linear, generates real-time implementation plans, and submits coordinated pull requests across all affected repositories.
Who is Vylor designed for?
Vylor is designed for engineering teams that regularly ship complex tickets involving coordinated pull requests across multiple repositories. It suits teams that prefer thorough planning before coding and want to reduce time spent on local environment setup.
How does Vylor handle pricing and costs?
Vylor offers flexible pricing options, including subscription tiers built for teams and the ability to buy task-credits as needed. The platform emphasizes efficiency to minimize token costs compared to legacy agents.
Does Vylor integrate with other tools?
Yes, Vylor integrates with ticketing platforms like Jira and Linear, allowing users to paste ticket details directly into the chat to generate implementation plans.
Can Vylor be self-hosted for security or governance needs?
Yes, Vylor supports optional self-hosted deployment for advanced security and governance requirements. Its model-agnostic architecture allows for enterprise self-hosted models and dedicated server deployments.
How do I get started with Vylor?
Users can get started with Vylor by signing up for a free account on the platform. After logging in, they can begin by pasting a ticket from Jira or Linear into the chat to initiate the planning and execution process.
