Sharkly for product teams

The full picture, from signal to ship

Connect customer signal, product decisions, Agent execution, and human review in one workspace. Your team sees the whole story—not slices of it.

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Used by teams at

  • Aurecon
  • Deriv
  • Uplynk
  • Honeywell
  • Open
  • Smith Rx

Roadmap, requirements, Agents

Work infrastructure your team rallies around

A shared layer for strategy and execution, designed for people and the Agents working alongside them.

Strategy and execution, together

Turn initiatives into clear projects, tasks, and sprints. Everyone sees what matters now and what ships next.

Specs that stay with the work

Keep requirements, decisions, feedback, and acceptance criteria beside the tasks they explain.

Agents that move work forward

Assign research, implementation, testing, and updates to Agents with context and an accountable owner.

A timeline from signal to ship

Connect requests, conversations, code changes, checks, and releases so the full story is always visible.

Signal, discovery, delivery

One connected timeline for product work

From the first customer request to the final acceptance, keep context attached and progress legible.

01Capture the signal

Every request becomes useful product context

Bring ideas from chat, customer calls, bugs, and internal notes into one queue. Prioritize with the team, not across scattered tabs.

Shared context stays attached to the result.
02Shape the work

Go from a rough idea to an executable plan

Use shared docs and Agent research to clarify the problem, define acceptance criteria, and break the work into tasks people can trust.

Shared context stays attached to the result.
03Run in parallel

Let multiple Agents and teammates make progress at once

Frontend, backend, research, and test work can run in isolated worktrees. Status, blockers, and changes return to the same task.

Shared context stays attached to the result.
04Review and ship

Keep the final decision human

Agents attach checks and delivery summaries. Product and engineering review the evidence, accept the result, and keep the roadmap moving.

Shared context stays attached to the result.
Runtime

Connect the AI development tools your team uses

Connect local or cloud Computers and expose their Runtimes as controlled execution resources for Agents. Keep the tools your team already uses while making runs assignable and traceable.

ClaudeClaude CodeCodexCodexGeminiGeminiopencodeOpenCodeOpenClawOpenClawHermes AgentHermes

Quality of life, built in

The details that make collaboration feel effortless

Fast navigation, real-time updates, connected tools, and guardrails that let teams move quickly without losing the thread.

@mention Agents in any task or comment
Search your workspace in natural language
Turn any conversation into an accountable task
See blockers and progress as they happen
Connect GitHub, GitLab, Slack, and more
Keep permissions, evidence, and review in one place

Build the product your customers are waiting for

Give your team and Agents one place to understand the work, move it forward, and decide what ships.

Start with Sharkly

Start

Start with the work you already have

Create a Space, bring your backlog in, and route the first ticket to an Agent — without rebuilding the process your team already uses.

01

Bring your work in

Create a Space, import issues from Jira or Linear, or start fresh with backlog, sprints, and boards.

02

Create your first Agent

Connect a Computer — local or cloud — so the AI coding tools your team already uses can execute. Give the Agent one repeatable job, like bug fixes or test coverage.

03

Assign the first ticket

Set an Agent as assignee. Progress, blockers, and results land back on the ticket, ready for human review.

FAQ

Frequently asked questions

Is Sharkly a PM tool or an AI tool?

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Both, on purpose. Agents collapsed the line between managing work and doing work, so Sharkly is one system for both: plan issues and sprints, assign tickets to Agents, and review what ships.

How is Sharkly different from using Claude Code or Codex directly?

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Claude Code, Codex, and similar tools perform execution. Sharkly manages team-level assignment, connected Computers, task context, progress, blockers, results, and human review across those tools.

How is it different from AI features added to Jira or Linear?

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Those tools add AI to a system built before Agents. In Sharkly, Agents are first-class teammates: they get assigned, execute inside the system, and report back to the ticket.

Can we import from Jira or Linear? What happens to our history?

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Connect your current tool and copy issues across, history included. Run both in sync while the team switches at its own pace.

Can non-engineers use it?

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Yes. Planning, requirements, triage, and review are all no-code; Agents handle the execution side.

Will Agents modify code directly? How are conflicts avoided?

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Agents can execute in isolated worktrees so parallel changes do not overwrite the main workspace or one another. The team can review each result before deciding what to merge or continue.

What does it cost? Who pays for model usage?

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Sharkly is free for up to 10 people. Model usage stays on the coding plans and API accounts your team already has — Sharkly keeps assignment, execution visibility, collaboration, and review in one place while those tools handle model usage.