Ambiguity compounds
AI coding compresses build time from weeks to hours. Unclear intent, weak prioritization and missing context now get executed before anyone can catch them.
The Product Operating System for teams shipping at AI speed.
AI makes development faster. Feature1 makes it faster with product context — so your team and its AI agents stop rebuilding context every sprint.
Not Prompt → PR. Reality → Evidence → Decision → Execution → Outcome → Learning.
- One product contextEvery squad and every AI agent loads from the same evolving model of what the product actually does.
- Catch conflicts before they shipTwo squads touching the same capability, customers depending on the current behavior — surfaced before implementation, not after.
- Close the loop after releaseThe objective, the shipped work, and the outcome remain connected — so you know what worked and what to change next.
Works with GitHub, GitLab, Bitbucket and your existing workflow.
AI accelerated coding. Ambiguity accelerated with it.
Weak requirements, missing context, and bad prioritization now get executed faster. Feature1 is the discipline layer for that new reality — the operating system that keeps product context intact so speed compounds in the right direction.
Every sprint rebuilds context
Each squad and each AI agent starts from scratch — reading the same tickets, reconstructing the same decisions, guessing at the same constraints. Nothing accumulates.
Conflicts land in production
Two squads modifying the same capability, three enterprise customers depending on the current behavior — surfaced after release, not before implementation.
Product context gets fragmented across tools.
Each tool can do its job well while the decisions and evidence connecting them disappear between handoffs.
Business strategyDocs and presentations
Customer feedbackCalls, CRM and Slack
Product planningRoadmap tools
ExecutionJira or Linear
ImplementationGit + coding agents
QA and releaseTest tools, docs and Slack
The context and product operating layer.
- Strategy and insights
- Objectives and initiatives
- Capabilities and features
- Criteria and sprint work
- Implementation and QA
- Shipped product reality
Your tools can stay. Feature1 keeps the product context connecting them.
A single customer signal, followed into product reality.
Not a diagram of how it could work. This is the trail Feature1 leaves behind for one real change, and every step links back to the one before it.
- 1SIGNALFour enterprise accounts raise account-recovery friction in support and in two interviews.VOC · 4 sources
- 2OBJECTIVEScored against the north star and attached to an existing objective, not a new one.OBJ-2
- 3PLANA structured analysis produces a PRD with the dependency map and the open questions surfaced.PRD-118
- 4CRITERIAThree acceptance criteria written as Given / When / Then, each independently testable.AC-001 → 003
- 5SPRINTPulled into the sprint carrying the objective and the criteria with it.US-2041
- 6SHIPPEDImplemented criterion by criterion, each approved before the next begins.PR #482
- 7PRODUCT REALITYTrigger a capability scan and the evidence reflects what the software can now do.SYNC · COMPLETE
Open the shipped change and the objective, PRD, acceptance criteria and updated product capability remain connected. Nothing was re-typed.
The questions your product team should always be able to answer.
Feature1 keeps the context needed to answer them continuously — for humans, for AI agents, and six months later when someone asks why something exists.
- What does our product actually do today?
- Why are we changing it?
- What evidence supports this decision?
- Does this duplicate or contradict something that already exists?
- Which part of the product needs to improve?
- Is execution still aligned with the original decision?
- Did what we shipped actually work?
- What did we learn — and what changes next?
The ticket remembers why it exists.
Feature1 does not stop at generating planning artifacts. It keeps the product decision attached as work becomes software.
Planning that interrogates the request
F1 asks the relevant product, implementation and strategy questions, checks feasibility against the product, and surfaces assumptions before a PRD is approved.
This one argues with you first.
Implementation that stays inside the gates
Developers and coding agents receive the objective, feature intent, acceptance criteria, constraints and architecture context — not an isolated ticket.
Implementation stays inside the acceptance criteria.
One product context. Every human and every AI agent.
Every squad and every AI agent loads from the same evolving model of what the product does, why the last change was made, and what customers said about it — not their own guess.
Nothing gets rebuilt from scratch every sprint.
Roadmaps become capability changes, not disconnected feature lists.
Start with what the product can do today, state the outcome, then plan only the changes needed to close the gap.
Current capabilityBulk order managementDepth 3 / 5
ObjectiveReduce enterprise onboarding time by 40%Required depth 5 / 5
Planned changes
- Bulk validation
- Bulk editing
- Error recovery
- Progress reporting
Your roadmap should know when the code changes.
When implementation lands, Feature1 can rescan the connected repository and update its evidence-backed understanding of product capabilities. Strategy stays grounded in what the software now does.
- 01Product intent recorded
- 02Implementation lands
- 03Capability scan triggered
- 04Capability evidence updated
- 05Strategy remains grounded
Your existing stack stays where it is.
Feature1 gives GitHub, GitLab, Bitbucket and MCP-compatible coding agents (Cursor, Claude Code, Codex) the product context around every change — so they consume the same product model your team does.
GitHubGitLabBitbucketClaude CodeCodexMCP
Plans are scoped to the product team, not every person who reads a ticket.Talk to us about pricing →
Manage. Build. Grow. One product context across all three.
Feature1 manages the product. mvpfy builds it. BeyondWebsite grows it. Same understanding of the product powers all three — plus the open-source tools that extend the platform.
Growth engine
LaunchedBeyondWebsite
Take what you have built to market and keep it current.
View product →
Open-source PM IDE
Open sourcemvpfy
Help PMs and founders safely work against real codebases.
View product →
Open-source system
LaunchedAgentify by F1
Turn software APIs into conversational agents.
View product →
Open-source system
Launching soonChatify by F1
Turn organizational knowledge into conversational interfaces.
View product →
Trusted by 10+ product teams shipping at AI speed
Sharper thinking for product delivery.
PRODUCT STRATEGY
From feature shipping to capability evolution
Manage durable capabilities instead of disconnected feature output.
FEATURE PLANNINGStop using ChatGPT for feature planning
Feature planning needs context, collaboration and executable output.
ENGINEERINGDriver-navigator pair programming in the AI era
Keep AI-generated code aligned with intent and review quality.
Bring your roadmap. Bring the repo.
We will use a real objective and real product context to show how Feature1 connects planning to implementation.