Skip to content
Join the waitlist
END-TO-END AI SDLC

Nine things the platform does. Three of them are why teams switch.

Feature1 preserves product intent from strategy and PRDs through sprint planning, validation, QA feedback and release communication — with engineering, design and QA working from the same record.

30+
MCP TOOLS
6
PLANNING STAGES
01

Feature planning that interrogates the request

A rough idea goes through six stages before a line of code is written: decomposition, feasibility, impact, implementation study, open questions, and a full PRD. Most tools generate a document. This one argues with you first.

  • Decomposition into atomic units
  • Feasibility and impact against existing architecture
  • Implementation study with dependency mapping
  • Open questions surfaced, not buried
feature1.ai/plan/feature/118
Feature Planning — the six-stage pipeline mid-run
Feature Planning — the six-stage pipeline mid-run
02

Implementation that stays inside the gates

Autopilot works criterion by criterion between human approval gates. Copilot runs driver-navigator through your MCP client. Either way the output traces back to the intent that asked for it, and QA evidence lands before review.

  • Criterion-by-criterion implementation with traceability
  • Autopilot with human-in-the-loop approval gates
  • Copilot pair programming through your MCP client
  • Validation and QA evidence captured before PR review
feature1.ai/execute/implement/US-2041
Governed Implementation — Autopilot run with an approval gate open
Governed Implementation — Autopilot run with an approval gate open
03

Your agent, with the whole product in scope

Thirty-plus MCP tools expose features, stories, acceptance criteria, validation and sprint data to any MCP-compatible agent. First-class with Claude Code, agnostic by design. Your agent stops guessing at your backlog.

  • 30+ tools across the delivery workflow
  • First-class Claude Code integration out of the box
  • Agent-agnostic — any MCP-compatible client
  • Full product context, not just the repository
claude · /ship-userstory-with-f1
MCP server — tool list and a live call
MCP server — tool list and a live call
Also included

The rest of the loop, without the tour.

04

F1 Assistant

Domain-aware threads grounded in your codebase and live project state, with the records behind every claim listed underneath it.

Shareable threadsCited answers
05

User story & AC generation

Well-formed stories and Given / When / Then criteria straight from planned features, each one independently testable.

US-2041AC-001
06

Sprint management

One-click sprints from a prioritised backlog, AI-assisted estimation, velocity and burn-down without leaving the platform.

78 pts18 / 20 done
07

Git workflow integration

Branches, commits and pull requests stay linked to the intent, sprint work and QA evidence that drove the change.

GitHubGitLabBitbucket
08

Domain intelligence

A living knowledge graph of codebase architecture, business context, customer feedback and team conventions.

Knowledge graph
09

Release communication

Release notes and stakeholder summaries drafted from completed work, each traceable back to the objective it served.

Objective → PR

Put one product decision through the loop.

Bring a live objective and a real sprint. If the connection between them is not visible in an afternoon, it is not for you.

Join the waitlist