top of page

How Lightsprint Lets PMs Contribute Safely to the Codebase

Ben from Lightsprint started his Demo Day session with a quick poll of the room. "Who's an engineer," he asked, then, "who's a product manager, or ops." The question went straight to the heart of the friction he wants to resolve. As a former product manager himself, Ben knew the pain of being blocked. A customer request is clear, but the engineering team pushes back. "Sometimes this idea doesn't make sense, it's not technically feasible," he recalled hearing. "It's going to take, like, maybe five weeks, or maybe, like, four sprints to do it."


With the rise of capable coding agents, he saw a chance to change this dynamic. "Could you really then empower, like, product managers, or event designers, to contribute very safely in the code base?" The goal was not to replace engineers, but to give non-technical team members the leverage to act on their ideas. This led to Lightsprint, a platform designed to take a complex, existing codebase with its many microservices and make it accessible to the whole team. We treat the wall between product and engineering as a fixed constraint, but Ben’s work reframes it as a technical problem with a concrete solution.


Every Ticket is a Mini-Computer


The core of Lightsprint’s approach is a fundamental shift. "Every ticket here that you see is a mini-computer that's in the back end," Ben explained. When a PM creates a ticket and outlines a requirement, Lightsprint spins up an instance of the application with a live preview. An AI agent gets to work, building the feature in the background. The PM gets a live preview to verify what was built.


If the agent gets stuck, an engineer can "hop into the same session, and basically steer the agent." Ben describes this model as one of "shared skills, shared context, and shared execution." It allows for both synchronous and asynchronous work. The team can see who is online and working in a specific environment, but they can also hand off tasks like planning and review. For the demo, Ben showed how multiple agents could be fired off in parallel to work on a marketplace application, with one example being an agent tasked with editing the user avatar.


When the work is done, the system generates screenshots and a mobile view so the PM can try it out. Crucially, it then creates a pull request. This is where the "safely" part of the vision becomes clear. The PR runs all the configured CI checks, and the review interface shows whether it’s ready to be merged. The final decision remains with a human. "The engineer will do the final work," Ben confirmed. Engineering oversight is not bypassed. Instead, the workflow gives the PM leverage to build a concrete starting point, leaving the engineer to perform the final review, a higher-leverage use of their time. "I wish I had that when I was a PM," Ben reflected.


Beyond UI: De-risking Complex Features


Making simple UI changes is one thing. A former PM in the audience voiced this skepticism, asking how the system handles more complex, non-visual tasks, where the goal is to validate a "process outcome rather than UX change."


Ben’s answer revealed the next level of the system: the "Plan" feature, something he noted has been a focus "in the past couple of months." For ambiguous, complex requirements, a user can create a plan. Lightsprint then generates three main artifacts. First, a Product Requirements Document (PRD) clarifying the problem and scope. Second, a working preview of the app that allows a designer to test the flow. Finally, it generates a complete technical specification.


This process is collaborative. The system asks clarifying questions, and a user can tag an engineer to provide answers for technical queries. The resulting spec includes diagrams, lifecycle diagrams, and details on how the database will be generated. The goal is to get the entire team,product, design, and engineering,aligned on a detailed specification before an agent begins the build. A question from the audience about visual design prompted a similar point: Lightsprint can extract design styles from an existing app or a design file to ensure consistency, keeping the company’s brand in-house rather than generating something that looks like another app.


This structured planning process is how Lightsprint drives alignment across departments. It starts with product defining a requirement, which generates variations. A designer can be tagged to answer design questions. When the system needs engineering input, an engineer can be brought in. The result is a full technical spec that the whole team had a hand in creating.


Ben’s vision isn’t about agents taking over tomorrow. It’s about making the specification the primary, collaborative artifact. "Get into a point where the spec is really good," he advised. Once that alignment is common practice across the product team, the agents can execute on it. The question for other teams is whether they can make their specs good enough that PMs and designers can safely produce work that is ready for an engineer's final review.

SQ Collective hosts Coworking Fridays for founders, operators, and AI builders working through real product questions in Singapore.


Join an upcoming Coworking Friday: https://lu.ma/ai-labs

Explore SQ Collective: https://www.sq-collective.com

Michael

 
 
 

Comments

Rated 0 out of 5 stars.
No ratings yet

Add a rating
bottom of page