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Description
Atono is a product knowledge and workflow platform designed to help AI tools, product teams, and engineering teams work from the same product context. The platform addresses the problem of AI-generated specs, stories, and code being close but inaccurate because the AI lacks product-specific terminology, decisions, and implementation history. Atono builds product knowledge through three layers: a Glossary, Living Stories, and AI Context. The Glossary captures the product’s vocabulary, concepts, personas, and relationships from existing documentation so AI tools use the right terminology. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story as the product evolves. AI Context captures design decisions, technical investigations, and implementation changes through Atono’s MCP server so tools like Cursor, Claude, and Copilot can continue from prior sessions. Teams can use Atono to plan, build, deploy, and measure work from the same story while keeping requirements, code context, release controls, and engagement data connected. The platform can operate as an intelligence layer alongside Jira, Linear, or an existing stack, or as a full platform that replaces project management, feature flag, and analytics tools. By combining product knowledge, AI context, stories, feature flags, analytics, MCP integrations, and cross-functional workflows, Atono helps teams make AI output more accurate and product work more connected.
Description
The Flags SDK is an open-source library crafted for seamlessly incorporating feature flags into applications built with Next.js and SvelteKit. It empowers developers to effectively manage and implement feature flags, offering adaptability with numerous flag provider integrations. This SDK facilitates A/B testing, controlled rollouts, and experimentation, enabling developers to deliver features more swiftly and with greater efficiency. It boasts a straightforward, declarative API that simplifies the process of defining and utilizing flags, ensuring a hassle-free integration. By utilizing Flags SDK, developers can strategically introduce new features, conduct live testing without disrupting applications, and explore various options with assurance. The toolkit also guarantees that websites maintain optimal speed while adhering to the best practices associated with feature flag implementation, thus enhancing overall performance. Overall, Flags SDK represents a pivotal resource for developers aiming to innovate while minimizing risks.
API Access
Has API
API Access
Has API
Integrations
Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Next.js
Slack
SvelteKit
Vercel AI Gateway
Integrations
Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Next.js
Slack
SvelteKit
Vercel AI Gateway
Pricing Details
$19/user/month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Atono
Founded
2024
Country
United States
Website
atono.io
Vendor Details
Company Name
Vercel
Founded
2015
Country
United States
Website
flags-sdk.dev/
Product Features
Agile Project Management Tools
Backlog Management
Feedback Management
Gantt/Timeline View
Kanban Board
Prioritization
Request Management
Resource Management
Retrospectives Management
Status Tracking
Supports Scrum
Team Management
Template Management
Workflow Management
Product Features
Feature Management
A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation