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Veeral Patel
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Software factory takeoff 🚀
From the 🐐 @a_levitator
Matt Turck@mattturck
.@RampLabs (the AI unit of @tryramp) has been *cooking* with agentic innovation Here's @a_levitator discussing and demo'ing code self-maintaining software and the concept of AI software factories #DataDrivenNYC ______________ 00:04 - Intro 01:11 - The shift from writing code to code maintenance 01:59 - Introducing Ramp Inspect, the background coding agent 03:05 - The first experiment: Nightly AI code automation 04:23 - The limits of stateless monitoring in large observability surfaces 05:47 - Using Datadog monitors to give the AI state and focus 07:23 - Real-world example: AI autonomously fixing an authentication bug 08:14 - How to control noise and implement an AI triage pattern 09:27 - The old vs. new paradigm for continuous code observability 10:21 - Key learnings on building autonomous AI software factories
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GPT-5.5 is here.
It’s our smartest frontier model yet, introducing a new class of intelligence for agentic coding, computer use, knowledge work, and scientific research.
Rolling out in ChatGPT and Codex today. API is coming soon.
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@alexisxrivas @eglyman You can enable it here: app.ramp.com/settings/all/e… Let us know if you have any feedback/questions!
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@eglyman This looks awesome. Looking forward to trying it. Thank you.
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Anthropic made its first dollar three years ago. last month it crossed $30B in revenue. that money is coming from somewhere, and your CFO probably can't tell you where.
the problem isn't the spending. the companies on Ramp investing the most in AI have more than doubled their revenue since 2023. the problem is that no one can see where it's going: which team drove the spike, whether it's COGS, Opex or R&D, if commitments are actually being used.
your AI providers aren't going to help you spend less. they're not going to tell you a competitor's model does the same job for a fraction of the cost. or that an open-source alternative works just as well.
so we built something. Ramp pulls token-level usage data directly from Anthropic, OpenAI, and OpenRouter into the platform where you already manage cards, bill pay, and procurement. connect an API key — five minutes, no engineering — and finance can see every dollar by provider, model, team, and project. free for all Ramp customers. if you want it too, Veeral shows how to set it up in minutes.
the companies building financial discipline around AI now will know where to double down and where to cut. everyone else will be explaining to their board why their fastest-growing cost is also their least well understood.
Veeral Patel@vral
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This is the first time I've ever seen an LLM operate a GUI as fast as a person, and it's surreal.
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Anissa Gardizy@anissagardizy8
Uber's CTO told @LauraBratton5 that AI coding tools—particularly Anthropic’s Claude Code—has already maxed out its 2026 AI budget 📈 “I'm back to the drawing board, because the budget I thought I would need is blown away already,” Neppalli Naga said. theinformation.com/newsletters/ap…
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@SuryaRajendhran thank you so much! imo there's a lot of ai demoware on X, but there are very few cos actually doing it at production scale
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@vral this is such a good post! love the deep dives from ramp that actually go into great detail
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we’re gonna look back on passing .md files between agents the way we look back on mailing floppy disks around to move a file
great work @b_geist 🫡
Ramp Labs@RampLabs
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the openai/anthropic dashboard shows you tokens like a casino shows you chips. the whole point is you don't think about the dollars
Karim Atiyeh@karimatiyeh
The same force driving your growth is your least-governed cost. You can tell me your AWS bill to the penny. Break it down by service, by team, by environment. You've been doing it for a decade. Your AI bill? You're guessing. No tool in the market connects token-level usage, invoice data, and card-level spend. So we built one. Ramp AI Spend Intelligence is one place to track, govern, understand, and most importantly → optimize your AI spend. Try it today.
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DM me if this is your company and you use Ramp - we have something to help you 👀
ted@tednotlasso
overheard in NYC: "our company's AI credit costs now match our payroll costs, will probably outpace it this week"
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brooklyn bridge ramp vs golden gate claude
Ramp Labs@RampLabs
Introducing Steer AI. We made an AI that can't stop thinking about any concept you choose, by steering a model's internal representations at inference time. Ask it anything, and watch it bend reality around that concept. Available for one week only.
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Veeral Patel retweetledi
we built our own version of ramp inspect and it is by far the biggest engineering lift I have ever experienced
it was like being handed alien intelligence, had no idea what to do with it at first but a couple weeks later the team's collective output has skyrocketed
Ryan Carson@ryancarson
Devs love to dev so everyone and their mom is building their own version of Ramp’s Inspect. It’s a *ridiculous* amount of work though. You have to build a huge amount of features to just have a simple functional agent orchestration pipeline (that’s actually good with browser testing, cloud sandboxes that actual work, surface area across Linear and Slack, PR review, Security Review, etc, etc, etc) I know because I built several versions of this. Got sick of it and just decided to pay for Devin. Never been happier or freer to just ship a ton of features and bug fixes. You’re absolutely wasting your time if you’re not buying your agent orchestration off the shelf now. Just pick a platform and double down - stop switching - all the frontier models are equally capable now. Focus, double down and build. Don’t build the tool - use the tool. Stop playing with this stuff and just get back to work.
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John started as an intern on my team at Ramp during the height of covid and it was clear from the beginning that he incredible agency and foresight to change the trajectory of finance
Excited for him and Ryan to do the same with legal now @crosbylegal
John Sarihan@jsarihan
We raised our $60M Series B for one reason: to hire people who are unreasonably good at what they do. Excited to have Lux & Index leading the investment, with participation Sequoia, Elad Gil, Bain Capital Ventures, and 01 Advisors. But the investors I'm most proud of are the ones who joined full-time: engineering and design leaders from Ramp, Stripe, Hume, and more. As a 15 person engineering team, our talent density is the highest I've ever been around. We're hiring across eng, product, design, legal, and ops. If you want to build the next great applied AI firm (Neofirm), reach out. DMs open
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Excited to finally give my assistant Aria access to accept bribes via Ramp CLI 🤑
Ramp Labs@RampLabs
Today, we're releasing Ramp CLI to let agents manage your company's finances. 50+ tools across cards, bills, expenses, travel, and approvals. Fewer tokens than MCP, and comes with pre-built skills like receipt compliance and agentic purchasing.
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@ArushShankar When the bottleneck for making a useful AI SRE is context, 1 is the most important to do in house vs. sitting around for integrations.
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Why build in house over generalized AI SREs? A couple thoughts that come to mind
- slow procurement of data access/provisioning since it flows to a vendor. Eg standing up new tools in the stack is slower
- non customized flows to developers
- longer term: loss of how to actually debug prod. Cognitive debt
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