
Turning your entire team into builders @lightsprintai (@ycombinator P26)
San Francisco, CA
Joined January 2022
- Tweets251
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Ben O retweeted
Coding agents can now take a well-described change and turn it into a pull request. Put them behind a pipeline with sandboxes, tests, previews and review, and you have a software factory.
That's real progress. But it answers a narrower question than most product teams are asking. A software factory answers "can we build this?" The question PMs, designers and ops start their day with is "what should we build, and did it work?"
We think the software factory has to grow into a product factory. And the people who run a product factory aren't only engineers. They're the product people who sit closest to customers.
lightsprint.ai/blog/product-…
Ben O retweeted
BREAKING: After 1 year in stealth, @rdominguezibar and I are launching GR Angel.
We invest in exceptional founders, put them in front of one of the biggest tech audiences in the world: + 600k followers, + 400k subs & 10M weekly views.
Across our personal angel investments and GR Angel, we’ve now backed:
→ A portfolio that has raised $1.2B+
→ Companies including HappyRobot, Replit, Nozomio, Throxy, Apollo Atomics, Gru Space, Didit, Aktoria Robotics, Arga Labs, Hyperspell and QFEX
→ Alongside investors including a16z, Sequoia, Founders Fund and General Catalyst
→ 1 Exit: Portco went from $10Kmrr to 7M arr in close to 1 year
Our distribution has helped startups get millions of views, one doubled its ARR and another received a $1M investment offer and much more.
Now we’re looking for the most cracked founders worldwide, investing bigger checks and starting our growth phase, you can reach out to us 24 7 and hiring 👀
Ben O retweeted
Coding agents can build almost anything now. The hard part is making sure they build the right thing.
The most common thing we hear from teams using agents is that they shipped fast and then rebuilt it. The code was fine. The team just wasn't aligned on what they wanted before the agent started.
That's why we built visual plan mode in Lightsprint. We call it visual spec driven development:
- Before any agent writes code, Lightsprint writes the technical spec.
- It also generates a design spec with a full, clickable preview of how the frontend will look.
- Engineering aligns on the tech spec, and product and design align on the design spec.
Only then does it go to the agents to build.
Alignment is what Lightsprint stands for. When everyone agrees on the plan and the screens up front, rework drops, reviews get shorter, and what ships is what the team actually meant.
Faster agents make alignment more important, not less.
Anthropic just made Claude Code Review generally available for Team and Enterprise. Most reviews now finish in 6 to 10 minutes, down from about 20 in preview. Admins pick Quick, Standard, or Deep per repo. The check never merges. Teams keep that call.
People will read this as "AI fixed the review bottleneck." Faster comments on diffs are real progress.
But Anthropic's own writeup is clearer about where humans still sit: should we build this at all, taste, scope, ownership of the outcome.
The old flow is still intact for most product orgs. Intent lives in a ticket. An agent works in one person's IDE. A thousand-line PR shows up. Then review, human or Claude, argues about correctness after the shape is already set.
What still feels missing is shared judgment before that PR exists. A live look at what the agent is about to ship, while product and eng can still say no cheaply.
Faster review is great. The expensive "no" is still upstream.
🚀🚀🚀
I am excited to announce our investment in @lightsprintai
When Opus 4.5 came out, it completely changed how our Prod/Eng team worked at 645. We had been talking about the emerging role of a "product architect," but that release made it all possible.
However, as we all became product architects, we started working in silos...
That's why I was immediately excited when I saw the demo for @lightsprintai.
1/ It has an incredible engineering team behind it; Ben Chan literally built the engineering team at BitGo
2/ The product brought collaboration back; we could see each other's work without annoying staging deploys or even local setups
3/ It improved our creativity; we could iterate on our codebase, and we immediately got rid of Lovable
4/ It empowered the entire team. One of our engineers said, "This is the best tool I have used since Claude." And even better, we have people who have never shipped before (who don't even know what shipping means) shipping
We are still avid users and look forward to building more in public with this team.
Ben O retweeted
We're excited to announce that we have raised a $6.1M seed led by @645ventures, with @ycombinator, @January_Capital , @RebelFund_VC , @sterlingroadvc , @transposevc and prominent angel investors including @nejatian @iEchoic @sternhenri @ooshma 🚀
AI prototypes were act one. Act two is PMs, designers and ops shipping high quality PRs on the real codebase, even across multiple repos, with engineering in control of every merge.
Story in @BusinessInsider 👇
businessinsider.com/lightspr…
Ben O retweeted
Teams are shipping faster, and some now have PMs and designers shipping too. PR review is the new bottleneck.
Lightsprint already consolidates feedback from all your code review agents (@GeminiApp Code Assist, @cursor_ai Bugbot, @greptile , @coderabbitai , or whichever you use) into one place and sends it back to your agent to fix.
Now every PR also gets a flow diagram that maps the change: which components were added, removed, or modified, with line counts on each so reviewers can see where the real changes are.
Tech leads tell us it’s the fastest way to figure out where to start, instead of reading the entire diff top to bottom.
Ben O retweeted
A Software Factory that captures all of the potential upside of what Software Factories should unlock
- Is basically fully web/cloud based & looks more like Lovable than Cursor
- Allows PMs, designers, and other non-technical people to contribute, and is designed around that reality
- Is focused on ruthlessly reducing feedback loop time - time to create a task, time to make a change, time to run Ci, time to merge to main
Very few products are actually building with this in mind. Niteshift and Hoplite look good, but after a day of trying out a lot, I've settled (for now) on lightsprint.ai
We're still so, so early
Thanks for the shoutout! We’re so glad that your product lead was able to make quality PRs 🚀
Lightsprint is extremely legit btw. First day live: 4 pull requests with real features from our (non-engineer) Product Lead - I've messaged three separate friends "This is the future of software engineering"
Takes a day to set up, once set up anyone can create a task which gives them their own environment with Lovable style side chat and the real product on the left - we have pretty extensive docs fed to the agent to make sure it stays inside our standards & patterns. Wild
Yes we do that for tasks that pass all checks! 🔥
Remember when claude code came out and everyone was super cautious to use "Dangerously Skip Permissions"
Feels like this is the next version of that (from @lightsprintai )
Ben O retweeted
Jira and Bitbucket integrations are live.
If your team runs on the @Atlassian stack, Lightsprint now picks up tickets from Jira / opens PRs into Bitbucket. Same workflow GitHub teams had, no migration required.
Try the collaborative software factory: lightsprint.ai
Ben O retweeted
Worktrees keep parallel software changes separate. LightSprint gives every ticket its own sandbox, so PMs and designers get to build safely without learning Git.
Claude Code Projects just got a real swarm mode
describe a goal → parallel cloud threads on their own branches → merge conflicts when they collide
people will celebrate the list of things that got faster
- more agents
- more branches
- more PRs
the list of things that still break for product teams is very very long
- shared plan before the threads start writing
- “done” meaning the same thing to PM and eng
- a live preview someone who isn’t the author can click
- killing a bad idea while it’s still 20 lines
- product debates that only start after the PR pile exists
more workers is easy
judgment while the change is still cheap is still the scarce thing
Ben O retweeted
New in Lightsprint: Console Mode 🔥
Most agent tools bury you in a chat or a board. Never both.
Console mode: flip from kanban to an IDE-style view. Agent session on one side, live preview on the other. Same task, same PR.
Built for developers who want to see the work, and for PMs who want to track the tasks on the board.
Spent the last few days watching eng lose it over VS Code Agent Merge.
Point it at a PR and it grinds the last mile. Review comments, failed checks, merge conflicts, rerun CI, repeat until it's ready. Closing a PR used to eat half a day of context switching. Now an agent just... does that.
Honest take. Automating the finish line doesn't fix the moment the PR should never have been that big.
We're getting really good at cleaning up giant diffs. Still pretty bad at catching the bad idea while it's a 20-line change someone could still kill.
Cheaper merges are great. Judgment earlier is what actually compounds.
Ben O retweeted
Bring your whole team and dozens of AI coding agents into the same chat threads, then let @linzumi_ai keep the fleet coordinated and unblocked.
And for a limited time, try state of the art open-weights intelligence free: GLM 5.2 at high speed, via their @wafer_ai partnership. → linzumi.com
“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof.
today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data.
open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise.
with castform, model training is as simple as prompt engineering. @castformai
bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns.
see what you can build with castform👇
Ben O retweeted
Peter Thiel on the type of company more startup founders should build
Thiel first emphasizes his belief that when starting a company, you should always ask:
“Can this company become a monopoly?”
He then lists three of the most common types of monopolies:
Super fast distribution on a very thin product (e.g. Twitter)
A technological advantage that is continually built upon with iterative improvement and compounds over time (e.g. SaaS software)
A truly brilliant breakthrough (e.g. Bitcoin)
But he argues that there’s a different monopoly category that’s continually overlooked:
“A different modality for innovation that we do very little of and we don’t even recognize as an important category is what I would describe as ‘Complex Coordination,’ where you take a lot of different pieces and the challenge is to coordinate them into something new.”
Thiel continues:
“This is the thing that’s maybe 180 degrees antithetical to the Lean Startup ethos. It’s complicated. You have to put all the pieces together in just the right way. I think this is on some level what really drove Apple as an innovative company in the last decade… What was new about the iPhone? There was no single component that was new. It was just that you put all of these things together in just the right way… and once you built it, it was actually super hard for people to replicate. You had an advantage for many years.”
He points to Tesla and SpaceX as more recent examples.
“There’s no component to the Tesla that’s actually that new. It’s just that you put all of the pieces together. You re-engineered the whole distributor network. It was this complex coordination that made it work. There’s like this lost art of accounting where you figure out how much things cost and add them all together. And Elon has discovered this lost art of accounting which no other people practice.”
RT @lightsprintai: We’re live! Try us out on lightsprint.ai 🚀🚀🚀
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