Hamster for Product Managers

The PM tool for AI-native teams.

Hamster bridges the gap between product strategy and AI-assisted engineering. Write briefs that translate directly into scoped tasks and shipped features.

Hamster brief status overview showing spec-to-delivery traceability for product managers

The problem

Product planning has not kept up with AI-speed development.

Your specs do not survive the handoff

You write a detailed PRD. Engineering interprets it differently. The built feature diverges from the spec. You discover the gap during review, after the work is done.

Sprint planning and grooming replaced nothing

Those ceremonies existed to keep your team in sync. They are gone, but the alignment problem they solved is not. Agents without direction deliver the wrong thing fast.

Feature velocity feels stuck despite AI tooling

The team adopted AI coding tools, but shipping speed has not improved as expected. The bottleneck moved from coding to planning — features stall in the spec-to-task translation, not in implementation.

Hamster turns your intent into action.

Write what you want to build in a Hamster brief. AI expands it into a full spec. Generate a delivery plan in one click. Teams and agents execute from the same source of truth.

From product intent to shipped code

PMs are the primary brief authors. Hamster briefs replace the combination of PRDs, tickets, and Slack messages with a single structured document that AI tools and engineers can both consume.

Visibility without micromanagement

PMs need to understand how a feature will be decomposed without dictating implementation details. Hamster auto-generates the task breakdown, giving you visibility into scope and timeline.

Traceability from spec to PR

PMs can track how briefs flow through to completed tasks and PRs. Hamster provides the traceability from product intent to shipped code that traditional tools lose in the handoff.

How product managers use Hamster

Feature specification to delivery

Before

Write a PRD in Notion. Create Jira tickets manually. Hope engineering interprets them correctly. Discover misalignments during sprint review.

After

Write a Hamster brief. Review the auto-generated task breakdown. Approve and dispatch to engineering. Track implementation against your original spec.

AI-assisted team oversight

Before

Engineering uses AI tools to implement features. You have no visibility into what prompts are being used or how your requirements are being interpreted by the AI.

After

Every AI coding session starts from a Hamster task linked to your brief. You can see exactly how your spec was decomposed and what each session is producing.

Sprint planning

Before

Manually create Jira tickets from your PRD. Acceptance criteria varies wildly.

After

Generate a structured plan from the brief. Every task has clear acceptance criteria. Ship what you specced.

Write the brief. Ship the feature.

Hamster turns your product specs into engineering-ready tasks that AI tools can execute.

Start your first brief