AI-native, sprint-free, continuous flow. Your agents handle the work. You steer the ship. No ceremonies. No velocity theater. Just shipping.
Work shouldn't be imprisoned in two-week boxes. Ship when it's ready, not when the sprint ends. Let agents handle the busywork. Stay in flow. Stay unsprinted.— The Unsprinted Manifesto
Capabilities
A single backlog, ranked by what matters. No columns, no swim lanes, no status theater. Work pulls from the top, always.
Assign tasks to AI agents. They research, write code, fix bugs, and report back. Your backlog shrinks while you sleep.
Built on Model Context Protocol. Connect Claude, Cursor, or any MCP-compatible agent. They read and update tasks natively.
Cycle time, throughput, lead time — the metrics that actually predict delivery. No story points required.
Workspaces, teams, roles, SSO. Built for organizations from day one, not bolted on as an afterthought.
Real-time sync, zero setup, instant onboarding. Your team is up and running in sixty seconds.
How it works
Drop tasks into the flow. Set priority by impact, effort, or your own formula. Everything auto-ranks.
Assign to a human or an AI agent. Agents pick up tasks, do the work, and submit results for review.
Work flows top-down. Ship when ready. Auto-generate changelogs, notify stakeholders, close the loop.
Tack takes issues from your backlog, distributes them to autonomous coding agents, validates through CI, reviews with a separate model, and presents you only the final approval.
Tack pulls work items from Unsprinted's prioritized flow, GitHub Issues, Linear, or any tracker via webhooks. Each issue becomes an autonomous work unit.
Issues are dispatched to coding agents — Claude Code, Codex, OpenCode, or custom agents. Each agent receives full context: codebase, specs, constraints, and the issue description. Agents communicate through ACP.
Agent output triggers automated pipelines — tests, linting, type checks, security scans. If CI fails, the issue bounces back to the agent with error context for self-correction.
A separate LLM reviews the code — different model, different perspective. It checks for logic errors, security issues, style violations, and architectural decisions the coding agent may have missed.
You see a clean diff, CI results, and the review summary. One click to merge. Engineers design the environment — Tack handles everything between the issue and the merge.
Tack is the environment. You define the rules, constraints, and quality gates. Agents execute. CI validates. Models review. You approve.
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