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Feature1 is the AI-powered operating system for product managers — one place to run the full feature lifecycle, from strategy through adoption.

Capture objectives and customer voice. Draft user stories with technical acceptance criteria grounded in your real repository. Feed per-AC prompts to engineers' AI agents via MCP. Measure adoption and auto-draft stakeholder updates.

PMs drive the loop. Engineers keep the tools they already use.

The operating system for product managers

PMs run four jobs in four tools — strategy in Notion / Product board / Aha, planning in Jira / Clickup / Linear, alignment in Slack / Offline / Excel, adoption in Amplitude / Posthog / Mixpanel. Each handoff loses fidelity, and "what shipped and did anyone use it?" usually goes unanswered.

Feature1 collapses that loop into one place and reaches into engineering through Model Context Protocol (MCP) — so your devs keep Claude Code, Codex, Cursor, or any MCP-compatible AI agent, and Feature1 feeds them the per-AC context they need.

The lifecycle, end to end

Strategy — Capture objectives, initiatives, customer voice, and competitive positioning. The "why" lives next to the "what."

Planning — Draft PRDs, user stories, and technical acceptance criteria grounded in your actual repository. Approve at story or AC level.

Hand-off via MCP — Feature1 exposes an MCP server. Your engineers' AI agents pull per-AC prompts, codebase context, and definition-of-done into their editor. No new IDE to adopt.

Adoption — Once a feature ships, Feature1 tracks whether it's being used and by whom. Strategy stays connected to outcome.

Communication — Auto-draft release notes, stakeholder updates, and external decks from the same planning data and product tour creation for new features shipped. Stop writing "what we shipped this sprint" emails from scratch.

Why both sides adopt it

For PMs: strategy stays connected to adoption. You go from "here's the idea" to "here's how it's being used" without losing context across tools.

For engineers: no new IDE, no surprise AI-PR. Your AI agent gets richer per-AC context through MCP. The AC tells you what "done" means, grounded in real code.

How Feature1 uses your GitHub repository

Feature1 reads your code to ground acceptance criteria and serve codebase context to engineers' MCP-connected agents. OAuth scopes requested: repo and read:user only.

Description from the GitHub Marketplace listing.