Collaborative Product Development for AI-native teams
Align PMs, designers, and engineers through AI-powered chat. Then break down into tasks and ship with parallel coding agents.
Align first. Ship faster.
Stop building the wrong thing. Get stakeholder buy-in before agents start coding.
AI-powered chat
Collaborate with PMs, designers, and engineers in a chat-first interface. AI helps synthesize ideas, resolve conflicts, and draft requirements in real-time.
Rich context integration
Pull in your codebase, Notion docs, Figma files, and more. AI understands your existing systems. Coming soon: pull customer interviews and user data.
Stakeholder alignment
Get everyone on the same page before a single line of code. Track approvals and decisions.
Auto task breakdown
Once aligned, AI breaks your requirements into implementation-ready tasks with file context.
Parallel agent execution
Run Claude, Cursor, and Grok on tasks simultaneously. No conflicts, just PRs.
Real-time visibility
See which stakeholders have aligned, which tasks are in progress, and when PRs are ready -- all from one dashboard.
Chat your way to alignment
Bring PMs, designers, and engineers into one conversation with full context. AI synthesizes everyone's input alongside your codebase, Notion docs, and design files.
- Pull in codebase, Notion, Figma, and more as context
- Multi-stakeholder chat with AI facilitation
- Automatic conflict detection and resolution
From requirements to tasks in seconds
Once stakeholders align, AI analyzes your codebase and breaks the requirements into implementation-ready tasks -- identifying files to create, modify, and the optimal approach.
- Codebase-aware task generation
- Automatic file and dependency mapping
- Ready to assign to any AI agent
Run 5 agents. Ship 5 features. Review 5 PRs.
Assign tasks to multiple AI agents working in parallel. Each agent works on isolated branches, producing mergeable code while you review or sleep.
- Automatic branch isolation per agent
- Conflict detection before it happens
- PRs linked to original requirements
Built to plug into your stack
Works with the AI coding tools and platforms you already use.
GitHub
Claude
Cursor
The complete product development stack
Other tools handle pieces. LightSprint connects collaboration to agent execution.
"We used to lose a week going back and forth on requirements. Now PMs, designers, and engineers align in one chat, and by the time we're done talking, agents are already building."
Latest from the Team
Insights on AI-native development, product updates, and engineering deep dives.
The AI Agent Orchestration Showdown: CLI Power vs Web Elegance
Two approaches to the same problem. Both brilliant. Which one fits your workflow? Comparing Gastown's CLI-first approach with LightSprint's modern web experience.
Read more →Beads: Memory Systems for the Agentic Era
Steve Yegge's Beads solves the 'agent amnesia' problem with a git-backed issue tracker designed for AI agents. What does this mean for the future of AI-assisted development?
Read more →ACE: Teaching AI Agents to Learn from Experience
Stanford researchers introduce ACE (Agentic Context Engineering), a framework that makes LLMs self-improving through evolving 'playbooks.' What can we learn from this approach?
Read more →From idea to shipped code, together
Align your team, then let agents build. Free for individuals and small teams.