The AI platform that ships features end-to-end

From product strategy to deployed code — autonomously

Start with F1 Assistant to ask about your product and codebase, then move from planning to PR with end-to-end AI orchestration.

F1 AssistantDomain-aware chat on your codebase
End-to-End PipelinePlan → Build → Test → Deploy
Production-ReadyPRs to your repo, not prototypes
Works with any codebase • GitHub, GitLab, Bitbucket • Autopilot & Copilot modes
feature1 — Full SDLC Orchestration
// PM: "Add payment processing with Stripe"
→ Feature Analysis: decomposition, feasibility, impact
→ Generated: 4 user stories, 18 acceptance criteria
→ Implementing: AC001... AC002... AC003...
PR #142 created — ready for review
1
AnalyzeFeature planning
2
GenerateStories & ACs
3
ShipCode → PR → Deploy

How Feature1 Works

From product idea to deployed code in 5 steps

1. Product Strategy

AI Assistant for product ideation
Competitor analysis & market research
Domain spec & knowledge graph

2. Feature Planning

6-stage AI analysis pipeline
Feasibility & impact assessment
Auto-generated PRD & user stories

3. User Stories & ACs

AI-generated acceptance criteria
Sprint backlog assignment
Priority & dependency mapping

4. AI Implementation

Criterion-by-criterion implementation
Autopilot or Copilot execution
Code quality validation & tests

5. Ship & Deploy

Auto-created pull requests
Branch management & commits
Release notes generation

Platform at a Glance

End-to-end AI development orchestration, not just code generation

6

Analysis Stages

Decomposition, feasibility, impact, implementation study, open questions, and PRD generation

2

Execution Modes

Autopilot for fully autonomous delivery, or Copilot for guided development with human checkpoints

Any

Tech Stack

Works with your existing codebase — React, Vue, Python, Node.js, Go, and any Git-hosted repo

E2E

SDLC Coverage

From product strategy and feature planning to sprint management, code implementation, and PR creation

Teams Ship Faster with Feature1

Product managers and developers using Feature1 to go from idea to deployed code

After 4 years and collaboration with 2 dev agencies, we were fed up and wanted to give a last try in developing our mid mile logistics platform. feature1 delivery speed amazed us, and the maintainability of the MVP in particular ability to add more features has made us to be in the best position ever.

- Ibrahim Alhawwas, Logistech

Feature1 Platform Capabilities

Everything you need to go from product idea to deployed code

Contextaware
Codebaseconnected

F1 Assistant

Domain-aware conversations: Ask questions about your product, codebase, and architecture — the assistant knows your entire system
Product ideation: Brainstorm features, analyze competitors, and refine product strategy with AI that understands your domain
Thread sharing: Share conversation threads with your team for collaborative decision-making
Status tracking: Mark threads as ideating, in progress, blocked, or done to keep work organized

The Feature1 Framework

An AI-native SDLC platform with MCP integration, dual execution modes, and deep codebase intelligence

01

AI-Native SDLC Pipeline

Every stage of development, orchestrated by AI

Feature Analysis
Decomposition → Feasibility → Impact → Implementation Study → PRD
User Story & AC Generation
AI generates implementable user stories with testable acceptance criteria
Criterion Implementation
Each AC is implemented individually with code generation and validation
PR Creation & Review
Branch, commit, and pull request created automatically on your Git provider
Sprint & Release
Assign to sprints, track velocity, and generate release notes
6-Stage Feature Analysis: Decomposition, feasibility, impact, implementation study, open questions, and PRD — all AI-generated
Acceptance Criteria Engine: Auto-generates testable ACs from user stories, then implements each one individually
PR-Ready Output: Creates branches, commits code, and opens pull requests on GitHub, GitLab, or Bitbucket
02

Feature1 MCP Server

Connect any AI coding agent to your Feature1 workflows

Claude Code + Feature1 MCP
$ claude --mcp feature1
> load_workflow("add-stripe-payments")
> get_next_ac()
→ AC001: Payment form renders with card input
> implement_ac(criterion_index: 0)
✓ Implementation complete, tests passing
> mark_implementation_done(criterion_index: 0)
✓ AC001 approved — moving to AC002
Model Context Protocol: Feature1 exposes 30+ MCP tools — load workflows, get ACs, implement criteria, create PRs, and more
Works with Claude Code: Use Feature1 MCP directly from Claude Code CLI to implement features against your live codebase
Agent-Agnostic: Any MCP-compatible AI agent (Claude, Cursor, Windsurf) can connect and execute Feature1 workflows
03

Autopilot & Copilot Modes

Choose your level of control

Autopilot

Fully autonomous execution
Implements all ACs end-to-end
Auto-creates pull requests
Best for routine features

Copilot

Human-in-the-loop checkpoints
Review each AC before continuing
Approve or request changes
Best for critical features
Autopilot: AI implements all acceptance criteria autonomously, creates the PR, and notifies you when done
Copilot: AI implements each AC one at a time, pausing for your review and approval before continuing
Switch Anytime: Start in Copilot for critical features, switch to Autopilot for routine work — per workflow
04

Domain Intelligence

A living knowledge graph of your product and codebase

Users
Personas Mapped
Live
Architecture Graph
Extracted
Business Rules
Active
Competitor Intel
Domain Spec: AI builds a knowledge graph mapping personas, features, architecture, and business rules from your codebase
Auto-Evolving: The domain spec regenerates as your codebase changes, keeping AI context fresh and accurate
Competitor Analysis: Built-in competitive intelligence to inform feature prioritization and product strategy

Ready to Ship Features with AI?

Connect your repo, install the MCP server, and start building — in Autopilot or Copilot mode.

Everything You Need to Ship

A unified platform covering the full software development lifecycle

Feature Planning & Analysis

AI-powered multi-stage analysis: decomposition, feasibility assessment, impact analysis, and implementation study — before a single line of code is written.

AI Assistant

Context-aware conversational assistant that understands your entire codebase, domain specs, and project history. Ask questions, get actionable answers.

Sprint Management

Plan sprints, manage backlogs, assign user stories, and track velocity — all integrated with your feature planning and implementation pipeline.

Autonomous Implementation

Generate acceptance criteria, implement each one autonomously with AI, and create pull requests — in Autopilot or Copilot mode.

Domain Intelligence

Living knowledge graph that maps personas, features, and architecture. Evolves with your codebase to keep AI context accurate over time.

Multi-Provider Git

Native support for GitHub, GitLab, Bitbucket, and Azure DevOps. Clone, branch, push, and create PRs across any Git provider.

Start Shipping Features Today

Connect your repository, describe what you want to build, and let Feature1 handle the rest — from feature analysis to pull request.

Autopilot ModeFully autonomous delivery
Copilot ModeHuman-in-the-loop checkpoints
PR-Ready OutputBranches, commits, pull requests
Works with your existing codebase

GitHub, GitLab, Bitbucket • Any tech stack • Autopilot or Copilot mode • PR-ready output