Notes from the
AI product
workbench.
Ideas on agent orchestration, context engineering, and how engineers and PMs ship together when AI is in the loop.
October 25, 2026
LightSprint is like Lovable on your existing codebase
Lovable can't connect to a repo you already have. LightSprint gives your team the same describe it, see it, ship it flow on your existing codebase, with live previews and pull request review.
product-development
ai-agents
October 25, 2026
What is a multiplayer software factory?
Most software factories are built for one engineer at a time. A multiplayer software factory lets the whole product team start, shape and review agent work on the real codebase.
ai-agents
product-development
October 25, 2026
What is a software factory?
A software factory turns requests into shipped software with a repeatable, quality-checked process. Here's where the term came from, how AI software factories work, and how to start one.
ai-agents
product-development
October 16, 2026
The software factory needs to become a product factory
A software factory answers whether something can be built. Product teams need to know what to build and whether it worked. That loop is product work, and it should be built for the PMs, designers and ops who do it.
product-development
ai-agents
October 13, 2026
LightSprint raises $6.1M to help PMs, designers and ops ship on their real codebase
With $6.1M in seed funding led by 645 Ventures, we're helping everyone at a company direct agents on the real codebase, with engineering in control of every merge.
October 3, 2026
When AI Builds Faster Than Your Team Can Agree: The AI-Native SDLC
Faster coding agents don't remove planning, review or testing. LightSprint keeps that work connected in shared sessions on your existing codebase.
SDLC
ai-agents
product-development
September 20, 2026
Why PMs & Designers Need Worktrees, but Don't Need to Know It
Worktrees keep parallel software changes separate. LightSprint gives every ticket its own sandbox, so non-engineers get the safety without learning Git.
worktrees
product-builders
cloud-sandboxes
agent-native
September 14, 2026
The 5 Stages of AI Nativeness: From Copilot to an Agentic Software Factory
A practical five-stage model for moving from individual AI assistance to an agentic software factory, covering repository readiness, team workflows, and governance.
agent-native
software-factory
AI-readiness
SDLC
July 18, 2026
The Product Builder SDLC
Anyone with domain knowledge can become a product builder. Here is the six-stage lifecycle for turning an idea into a planned, previewed, production-ready feature on the real codebase.
SDLC
product-development
product-builders
agent-native
July 14, 2026
The New Product Builder: From Lovable to Claude to the Real Codebase
Product managers and designers are moving from prototypes to production. The next generation of product builders will not stop at generating new apps. They will build safely on the real codebase alongside engineers.
product-builders
product-management
design
agent-native
product-development
June 15, 2026
The Unbundling of GitHub Is the Biggest Opportunity in Developer Tools
GitHub bundled code storage, pull requests, CI/CD, code review, and issues into one place built around humans typing code. Agents break that assumption. As the build collapses to near zero, every layer of that bundle comes loose, and the workflow gets rebuilt around the spec instead of the diff. Here's why we think the unbundling of GitHub is the largest opportunity in developer tools, and where LightSprint fits.
github
unbundling
developer-tools
agent-native
spec-driven-delivery
May 30, 2026
Spec-Driven Delivery: Jira Was Built for Scrum. We're Building for What Comes Next.
Scrum and Jira were built for a world where humans wrote every line. As agents one-shot the build, the bottleneck moves to the spec, to coordination, and to shared context. This is our case for a new SDLC, Spec-Driven Delivery, and the cadence that replaces the sprint, built to keep teams together as agents threaten to pull them apart.
manifesto
spec-driven-delivery
SDLC
agent-native
product-development
May 27, 2026
Agent-Native Engineering: When the Agent Becomes the IC and the Engineer Becomes the Manager
Agent-native engineering isn't giving every engineer a coding agent. It's restructuring the team so agents are the ICs, engineers are tech leads, and PMs ship product themselves. Here's what changes, and what breaks if you don't catch up.
agent-native
background-agents
engineering-orgs
product-development
May 25, 2026
Cloud Environments and Shared Skills: Keep Your Context When Your Engineer Gets Poached by Anthropic
The next unlock for coding agents isn't smarter models. It's shared cloud environments and shared skills, so a team's hard-won context survives the people who built it.
cloud-environments
shared-skills
agents
team-collaboration
May 21, 2026
Outgrowing Lovable and Replit: When Prototypes Need a Production Home
Lovable and Replit are great for the first idea. They start to crack the moment a real team, a real codebase, and a real customer show up. Here's the handoff that actually works.
lovable
replit
production
team-collaboration
April 19, 2026
Harvey Built Their Own Software Factory. You Can Too.
Harvey AI, valued at $8B+, built an internal platform called Spectre to move coding agents from laptops to the cloud. Every company using AI agents will need this. Here's what they learned.
ai-agents
infrastructure
cloud-agents
April 17, 2026
Why Local Development Is Going Away. Long Live Cloud Agents.
The shift from local coding agents to cloud-based execution is inevitable. Preview environments are trending toward instant and free. Here's why the future of development is in the cloud.
cloud-agents
preview-environments
developer-experience
April 14, 2026
Multiplayer Collaboration Is the Future of Development
Coding agents made individual engineers 10x faster. But the rest of the product team still files tickets and waits. The next shift isn't faster agents. It's the whole team shipping together.
collaboration
product-development
ai-agents
April 11, 2026
SDLC of the Past vs SDLC of the Future
The software development lifecycle was designed for a world where writing code was the bottleneck. AI changed that. Here's what the new SDLC looks like.
SDLC
product-development
ai-agents