One product decision. Nine connected steps.

Most product workflows split context across strategy, planning, tickets, code and QA. Feature1 keeps the reason behind the work connected from decision to shipped software.

30+: MCP TOOLS
3+: MCP-COMPATIBLE CLIENTS

Feature1 does not replace your Git provider or coding agent. It gives every planning and implementation surface the same product intent, constraints and evidence.

Feature planning that interrogates the request

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

Decomposition into atomic units
Feasibility with effort and dependencies against existing architecture
Implementation study with dependency mapping
Open questions surfaced, not buried

Feature Planning — the structured pipeline mid-run

Implementation that stays inside the gates

Implementation proceeds criterion by criterion with the product intent, constraints and architecture context attached. Developers can work directly or through an MCP-connected coding agent; each criterion is approved before the next one begins.

Criterion-by-criterion implementation with traceability
Editable acceptance criteria remain the delivery gates
Coding-agent handoff through your MCP client
Each criterion approved before the next begins

Governed implementation with acceptance-criteria progress and approval gates

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

Plan the product change before decomposing the tickets.

An objective defines the outcome. A capability delta defines what the product must become. Initiatives, features and stories then carry that intent into delivery.

01ObjectiveReduce enterprise onboarding time by 40%

02Capability changeBulk order management · depth 3 → 5

03InitiativeEnterprise operations improvements

04FeaturesValidation · editing · recovery · reporting

The roadmap catches up when the software changes.

After implementation lands, trigger a capability scan and Feature1 refreshes the evidence under its capability model. Planning remains grounded in the product that exists now.

IntentImplementationCode mergedCapability scanUpdated product reality

The rest of the loop, without the tour.

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

User story & AC generation

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

US-2041AC-001

Sprint management

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

78 pts18 / 20 done

Git workflow integration

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

GitHubGitLabBitbucket

Domain intelligence

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

Knowledge graph

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.

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