SprintiQ-Incorporated

SprintiQ-Incorporated / sprintiq

Public

The product brain for AI coding agents. SprintiQ is an open-source agile platform built for AI assisted development. Turn ideas into AI-generated user stories, plan sprints, and ship via bidirectional sync with Claude Code. Single-user, self-hosted, Apache 2.0.

17
0
100% credibility
Found May 05, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

SprintiQ is an open-source web app that helps manage AI-assisted coding projects through agile sprint planning, AI-generated user stories, task tracking, and performance analytics.

How It Works

1
🔍 Discover SprintiQ

You hear about SprintiQ, a friendly tool that organizes AI coding projects into clear plans with smart stories and sprints.

2
👋 Sign up easily

Create your free account in seconds to get your personal space for planning.

3
🤖 Connect your AI helper

Link your favorite AI like Claude so it can create realistic user stories just by describing your idea.

4
🏗️ Build your first workspace

Set up a workspace for your project, add team details, and prepare to plan.

5
💡 Generate stories magically

Type a feature idea and watch AI create detailed, ready-to-use user stories with checklists.

6
📅 Plan sprints smoothly

Group stories into sprints, check team capacity, and set realistic goals.

7
🔄 Track and sync progress

Move tasks along, connect code changes automatically, and see everything update live.

📊 Celebrate with insights

View beautiful charts of your speed, health scores, and project success to keep improving.

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Star Growth

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AI-Generated Review

What is sprintiq?

SprintiQ is a self-hosted TypeScript platform that acts as the product brain for AI coding agents like Claude Code, turning vague ideas into AI-generated user stories, sprint plans, and velocity-tracked backlogs. It syncs git commits from your local repo to tasks via a simple CLI command (`sprintiq watch`), enabling bidirectional flow between your codebase and agile workflows. Built for single-user setups with Supabase and Anthropic APIs, it handles product brainstorming sessions by generating persona-aware stories trained on real agile anti-patterns (TAWOS).

Why is it gaining traction?

In a sea of generic PM tools, SprintiQ stands out by laser-focusing on AI dev loops—auto-generating github product backlogs from features, planning sprints with capacity checks, and tracking Claude sessions' costs/tokens. Devs dig the CLI's real-time git-to-task mapping, skipping manual logging, plus analytics like health scores and velocity forecasts. Early hooks include self-hosting your sprintiq ai brain without vendor lock-in, ideal for product owners tweaking github product portfolios.

Who should use this?

Solo full-stack devs or indie hackers building with Claude Code/Cursor, tired of scattered notes and manual sprintiq inc tracking. Product brainstorming frameworks pros running product brainstorming ideas sessions who want AI to spit out testable stories with acceptance criteria. GitHub-heavy teams needing a lightweight github product backlog synced to local repos, not enterprise bloat.

Verdict

Promising for AI-assisted solo workflows, but at 17 stars and 1.0% credibility, it's raw—docs are solid for self-hosting, but expect tweaks for production. Fork it if you're deep in sprintiq ai; otherwise, watch for maturity before betting your github product owner cycle on it. (187 words)

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