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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
Xirp functions as an advanced development environment designed to provide AI coding agents with real organizational context, eliminating the need for guesswork. By integrating with your services, ownership structures, documentation, dependencies, and architectural decisions, it ensures that every coding session is rooted in the actual workings of your systems. Instead of merely focusing on the file being edited, Xirp comprehensively understands the entire system, including the ownership of upstream services, their dependencies, and the reasoning behind architectural choices. Its Workspace plugin for Spotify Portal consolidates work items, sessions, and documentation into a single location, maintaining context even after an engineer concludes a session, making it seamlessly accessible for the next user or AI agent. Moreover, Xirp transforms the knowledge gained during coding sessions into dynamic documentation that remains up-to-date and informs future projects. This platform serves as a versatile framework for the AI model of your choice, enabling teams to effortlessly transition between Claude, Gemini, and Codex while preserving essential context. As a result, Xirp significantly enhances collaboration and efficiency in software development processes.
API Access
Has API
API Access
Has API
Integrations
Claude
Claude Code
Cursor
Gemini
Google Chrome
Model Context Protocol (MCP)
OpenAI Codex
Slack
Integrations
Claude
Claude Code
Cursor
Gemini
Google Chrome
Model Context Protocol (MCP)
OpenAI Codex
Slack
Pricing Details
$19/user/month
Free Trial
Free Version
Pricing Details
No price information available.
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
Spotify
Founded
2006
Country
Sweden
Website
xirp.spotify.com
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
