Chris Schagen

@mitchellh @poolsideai just released an open weight model XS.2 that runs on a single GPU.

I'm someone who still really likes tab complete models (though I use them far less than before, sure). It struck me today that local models are probably good enough nowadays for this. Surely folks are doing this but I can't find great resources. Anyone have any? M4 Max + Neovim.

Introducing the first end-to-end open AI commerce stack from @getsaleor Most AI commerce today is surface-level, a chat box layered on top of brittle systems never designed for agents. Today we’re announcing the first open, end-to-end AI commerce stack: ▰ Agent entry layer (ACP and more) ▰ Conversational storefronts (Ink AI) ▰ Typed GraphQL commerce core ▰ Commerce as Code ▰ Clean extensibility architecture Not AI on top of commerce. Commerce rebuilt for AI. saleor.io/blog/end-to-en…

You can now use the 𝖳𝖾𝗋𝗋𝖺𝗆𝖺𝗍𝖾 𝖬𝖢𝖯 𝖲𝖾𝗋𝗏𝖾𝗋 to fix failed deployments and reconcile drift using Cursor, Claude Code, or any other agent — while you’re… drinking coffee ☕️☕️☕️

Terraform is powerful, but it was never meant to be a developer-facing interface. Our latest article explains how Terramate Catalyst separates configuration from code, giving developers a simple interface while platform teams retain full control of IaC. terramate.io/rethinking-iac…

Sequoia just called the end of an entire go-to-market era and most SaaS companies won’t realize what hit them for 18 months. Product-led growth was built on one assumption: humans would try the software. The entire playbook since 2010 optimized for human discovery. Beautiful landing pages. Frictionless free trials. Viral invite loops. Slack, Dropbox, Zoom, Calendly. $200B+ in market cap created by winning the user’s first 5 minutes. None of that matters if an agent is picking the software. Claude doesn’t care about your hero image. It can’t be impressed by your Dribbble awards. It’s reading documentation, parsing user reviews, checking API reliability, and matching features to use case. All the surface-level polish that convinced lazy humans to click “sign up” becomes irrelevant. The new PLG funnel isn’t landing page → free trial → activation → conversion. It’s agent query → documentation scan → feature match → recommendation. Which means the new moat looks completely different. You don’t need the best onboarding. You need the best documentation. You don’t need viral loops. You need structured data that agents can parse. You don’t need a beautiful UI for the first session. You need an API that an agent can actually call. The companies that won PLG hired designers and growth hackers. The companies that win agent-led growth will hire technical writers and developer relations engineers. And here’s the part nobody’s pricing in yet: agents don’t have loyalty. They don’t have switching costs. They’ll recommend Supabase today and something better tomorrow if the documentation is cleaner or the pricing is more transparent. The stickiness that made PLG so powerful, the network effects and learned behavior, doesn’t transfer. Sequoia is telling you the entire distribution layer is being rewritten. The question is whether your product is optimized for human attention or machine parsing. Most are built for the wrong audience.

There’s nothing cooler than seeing teams win with the tech we’re building. Today: how Alan tackled a massive infra migration—moving hundreds of Terraform resources from Cloudflare provider v4 → v5 across stacks in just a few weeks. 🧵👇

Large-scale provider upgrades are rarely “just a version bump.” Pierrick Gicquelais (Alan) shares how they migrated 200+ Cloudflare resources from v4 to v5 in 3 weeks, and how isolated stacks and Terramate orchestration made it manageable. medium.com/alan/how-we-mi…

All my new code will be closed-source from now on. I've contributed millions of lines of carefully written OSS code over the past decade, spent thousands of hours helping other people. If you want to use my libraries (1M+ downloads/month) in the future, you have to pay. I made good money funneling people through my OSS and being recognized as expert in several fields. This was entirely based on HUMANS knowing and seeing me by USING and INTERACTING with my code. No humans will ever read my docs again when coding agents do it in seconds. Nobody will even know it's me who built it. Look at Tailwind: 75 million downloads/month, more popular than ever, revenue down 80%, docs traffic down 40%, 75% of engineering team laid off. Someone submitted a PR to add LLM-optimized docs and Wathan had to decline - optimizing for agents accelerates his business's death. He's being asked to build the infrastructure for his own obsolescence. Two of the most common OSS business models: - Open Core: Give away the library, sell premium once you reach critical mass (Tailwind UI, Prisma Accelerate, Supabase Cloud...) - Expertise Moat: Be THE expert in your library - consulting gigs, speaking, higher salary Tailwind just proved the first one is dying. Agents bypass the documentation funnel. They don't see your premium tier. Every project relying on docs-to-premium conversion will face the same pressure: Prisma, Drizzle, MikroORM, Strapi, and many more. The core insight: OSS monetization was always about attention. Human eyeballs on your docs, brand, expertise. That attention has literally moved into attention layers. Your docs trained the models that now make visiting you unnecessary. Human attention paid. Artificial attention doesn't. Some OSS will keep going - wealthy devs doing it for fun or education. That's not a system, that's charity. Most popular OSS runs on economic incentives. Destroy them, they stop playing. Why go closed-source? When the monetization funnel is broken, you move payment to the only point that still exists: access. OSS gave away access hoping to monetize attention downstream. Agents broke downstream. Closed-source gates access directly. The final irony: OSS trained the models now killing it. We built our own replacement. My prediction: a new marketplace emerges, built for agents. Want your agent to use Tailwind? Prisma? Pay per access. Libraries become APIs with meters. The old model: free code -> human attention -> monetization. The new model: pay at the gate or your agent doesn't get in.

This company is going to change the world of cloud computing...

❓How do you go from raw CAD data to a lightweight, clean 3D model in @Blender? So many tedious steps involved ... 🎉@rapidpipeline for @Blender to the rescue! 🎉 LIVE on ProductHunt today, with free trial: producthunt.com/products/rapid… Thanks for your support & feedback! 🤝

We have exciting news to share: @cursor_ai is now using Plain to power their Slack support! Plain is built for teams like Cursor. Teams that want to meet their customers where they are - on Slack. With Plain, Cursor now has a single inbox for all their Slack channels and full visibility into their support. Having a hugely inspiring team like @cursor_ai choose Plain is a major milestone for us. Thank you for choosing to work with us @ericzakariasson, @danperks and @nickwm!

🚀 Big news: We’ve raised a $15M Series A to build the most collaborative, AI-powered platform for the new era of B2B customer support. Support is evolving – it's no longer just about handling tickets. The way teams work with customers is shifting from: 📧 Email to real-time, high-touch channels like Slack, Discord, and Teams 🤝 Transactional tickets to long-term, collaborative relationships ✨ Manual workflows to next-generation, AI-driven support Plain is built for this shift – helping teams work with customers where they are, collaborate seamlessly across functions, and use AI to automate and scale faster. With this funding, we’re: ✅ Making our product even better for B2B SaaS teams ✅ Opening an SF office ✅ Hiring across all disciplines There’s a long journey ahead of us – huge advancements in AI and an ever-changing landscape are altering the B2B support world on a daily basis. We’re excited and energized to build the best platform for modern companies. This milestone wouldn’t have been possible without our customers, investors, and team. To everyone who has believed in what we’re building – thank you. Your trust, feedback, and collaboration have shaped Plain into what it is today. Learn more in our announcement blog post: plain.com/blog/we-ve-rai…

Today I'm beyond thrilled to share that we have raised $16.5m in Seed+Series-A funding to enable the Bring Your Own Cloud (BYOC) model for everyone. nuon.co/blog/byoc-for-… A bit more on what we're up to in the 🧵

Terramate Cloud Update: CIS Benchmarks 🚨 Automatically catch security misconfigurations in Terraform, OpenTofu, and Terragrunt across AWS, GCP, Azure, and Kubernetes. Features include pre-deployment checks and automated drift detection. For more info (including video), read here 👉 terramate.io/rethinking-iac…

Today we’re happy to announce that heal.dev is moving to private Beta. At heal, we’re building an AI-powered software testing tool that lets you automate end-to-end tests from natural language prompts. Here's our demo! youtube.com/watch?v=tjMoJh…

Our IdentityRAG @langchain integration is live on @ProductHunt hunt today. 😻 The power of our identity resolution technology with the leading LLM framework, is a game-changer for companies that want to use customer data with LLMs. Check it out here: producthunt.com/posts/tilores-…

Just featured @rapidpipeline on @producthunt, 3D data prep made easy! producthunt.com/posts/rapidpip…

Based on our blog article, Terramate Co-founder, @sorenmartius, joined Ned Bellevance (@Ned1313) on his Vodcast “Ned in the Cloud” to tackle the ultimate question: Apply before or after merge⁉🤯 Watch the full video to see if they found a definitive answer: youtu.be/kzp8ZxH9G7Q?si…

Think size doesn’t matter? It does! ⚡ We just shipped our new article on efficiently designing, structuring, and sizing Stacks in Terraform or OpenTofu with Terramate. Read the full article here 👇 terramate.io/rethinking-iac…