Align PMs, designers, and engineers on PRDs through AI-powered chat. Then break down into tasks and ship with parallel coding agents.
Stop building the wrong thing. Get stakeholder buy-in before agents start coding.
Collaborate with PMs, designers, and engineers in a chat-first interface. AI helps synthesize ideas, resolve conflicts, and draft requirements in real-time.
Pull in your codebase, Notion docs, Figma files, and more. AI understands your existing systems. Coming soon: pull customer interviews and user data.
Get everyone on the same page before a single line of code. Track approvals and decisions.
Once aligned, AI breaks your PRD into implementation-ready tasks with file context.
Run Claude, Cursor, and Grok on tasks simultaneously. No conflicts, just PRs.
See which stakeholders have aligned, which tasks are in progress, and when PRs are ready — all from one dashboard.
Bring PMs, designers, and engineers into one conversation with full context. AI synthesizes everyone's input alongside your codebase, Notion docs, and design files.
Once stakeholders align, AI analyzes your codebase and breaks the PRD into implementation-ready tasks — identifying files to create, modify, and the optimal approach.
Assign tasks to multiple AI agents working in parallel. Each agent works on isolated branches, producing mergeable code while you review or sleep.
Traditional tools weren't built for AI-assisted development. LightSprint gives you a collaborative PRD workspace with direct visibility into agent execution.
Discuss requirements with your team anytime. AI keeps context and summarizes decisions.
Track who has approved what. No more chasing people for buy-in.
See PRD status, task progress, and agent activity — all from one dashboard.
Works with the AI coding tools and platforms you already use.
Cursor
Notion
Other tools handle pieces. LightSprint connects PRD 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."
Insights on AI-native development, product updates, and engineering deep dives.
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 →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 →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 →Align your team on PRDs, then let agents build. Free for individuals and small teams.