Added Jun 29, 2026

Atono

AI-powered project management for product teams.
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Atono unifies planning, deployment, and measurement for product teams in one workflow intelligence platform. Its MCP server lets developers stay in Cursor or other AI dev tools while accessing stories, acceptance criteria, bugs, and feature flags — helping teams stay in context and move faster.

AI-powered project management for product teams.

Tinh nang chinh
AI-assisted workflows for story refinement, summaries, sizing, triage, and coordination
Unified workspace for planning, deployment, and measurement
Feature flags built into the workflow
Usage analytics & insights directly connected to stories
Full workflow context accessible to AI (stories, flags, analytics)
Truong hop su dung pho bien
  • Product teams that need unified planning –> deployment –> measurement
  • Developers using AI tools who want to update workflows without leaving their IDE
  • Engineering managers who want accurate visibility without manual updates
  • Teams adopting agent workflows via MCP
  • AI-driven coordination of story movement, documentation, and assignments
  • Replacing multiple siloed tools (PM, flags, analytics) with a single workflow platform Atono
Cach su dung
  • Atono: https://docs.atono.io/docs/welcome-to-atono Atono Feb 06 2025 71.7K 0 -- 0 https://www.youtube.com/watch?v=2EC80KqzoA4 4:54 Implement feature flags in Atono Feature flags (https://docs.atono.io/docs/feature-flags) help you control which features are active in your app—without deploying new code. With Atono
  • you can create flags directly from stories
  • connect them to your codebase using the SDK
  • and manage who has access to configure them. In this video
  • you’ll learn how to: - Create feature flags from the flag list or directly within a story - Use the Atono SDK to integrate flags into a JavaScript or React app - Set default values to ensure reliable feature behavior - Understand how the SDK caches flag data for performance and resilience - Flip flags on and off by environment to control rollouts - Define and manage permissions using flag users and flag owners With Atono’s feature flagging system
  • you can confidently test and release new features while - keeping full control over how and when they’re activated. =========================== Find out more about Atono: https://www.atono.io/ Join the Atono community: https://atono.io/support Learn more about how to use Atono: https://docs.atono.io/docs/welcome-to-atono Atono Apr 11 2025 11.0K 0 -- 0 https://www.youtube.com/watch?v=21tawGuafw8 57:03 High Velocity Teams & AI Planning with Atono.io In this conversation
  • Doug Peete—Chief Product Officer at Atono and veteran product builder with 30+ years of experience scaling teams from early internet to today's AI era—breaks down how high-velocity product teams need to rethink planning when engineering speed is no longer the bottleneck. ⏱️ TIMESTAMPS: 00:00 Introduction & Doug's Background 05:00 How AI Is Changing Early Product Teams 11:00 The Tool Stack Problem & Context Engineering 17:00 Where Context Breaks Down on Growing Teams 22:00 Planning Frameworks: INVEST
  • Agile
  • and Cycle Time 29:00 The Idea Person vs. Execution Person Debate 36:00 Live Demo: Atono in Action 50:00 Evaluating Tools & Preserving Runway as a Bootstrapper 54:00 Q&A & Closing Thoughts 💡 KEY INSIGHTS: The bottleneck has shifted—it's no longer engineering speed
  • it's context
  • coordination
  • and getting the right information to the right people (and AI agents) Product context (who the product is for
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