Platformatic @platformatic
The platform bridging the gap between Node.js developers, operators, and wider business. So you can focus on building 🚀 platformaticHQ.com Joined April 2022-
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Four problems. One missing primitive. → Can't require() a module from memory → Tenant sandboxing requires fragile path logic → AI-generated code must hit disk before import → SEA assets need 20–40MB of boilerplate @platformatic/vfs fixes all four. node:vfs
platformatic/vfs hooks into both fs and the module resolver — in-memory files, tenant sandboxing, runtime code imports, SEA assets. All transparent to your dependencies. blog.platformatic.dev/why-nodejs-nee…
If your Node.js rate limiter lives in process memory, it breaks the moment you scale. @matteocollina & @lucamaraschi will dig down into Rate Limiting in Node.js! Next Wednesday, June 3rd, 8 am PT / 5 pm CEST → streamyard.com/watch/7VZi7cfP…
@matteocollina built a module that logs every AI agent mistake to a markdown file. New session starts → reads the top 30 past mistakes → doesn't repeat them. Not a vector store. A markdown file. He's running it daily. Full episode → youtube.com/live/OzemdgOno…
Node.js has 5 ways to call native C. Most teams know 2 → Native addon changes your build → Subprocess adds process boundary → WASM only if C compiles to it → Microservice adds network hop → node:ffi load .so, describe ABI, ~15ns. Nothing changes. blog.platformatic.dev/destino-doom-t…
Teams wrapping legacy C in a microservice did it because native addons felt too risky. node:ffi in Node.js 26.1.0 is the option they didn't know existed. We ran a Doom engine at 35Hz this way to prove it holds blog.platformatic.dev/destino-doom-t…
Running Node.js on K8s & seeing slowdowns? CPU limits might be throttling you, even when the node has capacity to spare. → Requests vs. limits. Not the same thing → How throttling actually happens → QoS classes + how to size limits for Node.js streamyard.com/watch/ikRMfgRD…
"I built a form library, and then I killed it, and then I brought it back to life again..." @tannerlinsley on how React Query, and eventually @tan_stack, got built. Not a plan. A frustration that turned into a tool that turned into a standard. youtube.com/live/QdKL_N63p…
Last week, we anticipated "Project Destino", in our weekly banter. Catch up on the full conversation between @lucamaraschi, @matteocollina and @p_insogna 🎧 Spotify open.spotify.com/episode/044nIs… 🎥 YouTube youtube.com/live/ow7mgHfkA…
@p_insogna explains how the "Project Destino" was born and shows us how to run DOOM in the terminal. youtu.be/AtKZjMPAU2A
We ran Doom in a terminal with Node.js FFI to demonstrate what modern Node.js can actually do. If Node.js can drive a 35Hz Doom engine with SDL2 audio, it can handle the C libraries your enterprise stack has hesitated to modernize. blog.platformatic.dev/destino-doom-t…
Most teams assume K8s handles deployment versioning for durable workflows. It doesn't. Deploy a new version, change your step order, and cached results get applied to the wrong steps. No errors. Just corrupted state. Platformatic World fixes this blog.platformatic.dev/durable-workfl…
If your team is stuck on Node 12 and every upgrade conversation ends with "too risky". Join @lucamaraschi and @matteocollina: → Why the Bun Zig→Rust port worked (hint: not the AI) → What AI migration actually requires → Node 12 → 24 in practice streamyard.com/watch/Qyprr9Rs…
The real reason we built Regina is as development tooling for our enterprise features. You want to manage agents at scale — Regina is the building block." @matteo OSS first. Enterprise foundation underneath. Sequence is intentional. youtube.com/live/i0VuBKeLX…
We Ran DOOM in a Node.js Terminal. Now There's No Excuse for Your Legacy Native Code x.com/i/broadcasts/1…
Four reasons AI agent projects fail after the demo, none of them are the model: → Prompts outside version control → Sessions wiped on every restart → Multi-pod state with no coordination layer → Tool workflows with zero observability Full breakdown: blog.platformatic.dev/introducing-re…
Most AI agent failures in production aren't model failures. They're orchestration failures: no session persistence, no observable tool calls, no lifecycle management. Regina solves this for Node.js teams. blog.platformatic.dev/introducing-re…
Next week on Banter: we ran @DOOM in a Node.js terminal. 35fps. Sound. One binary. No native addons. No compilation. @p_insogna built it to prove a point about FFI that every enterprise team needs to hear. Register now: streamyard.com/watch/bagFGbXA…
Real numbers from a real production deployment of ai-gateway-auditable 👇 Before: losing 15% of logs at peak. Latency doubling on provider slowdowns. After: latency halved. Zero log loss. Full compliance readiness. Here's exactly what changed blog.platformatic.dev/auditable-ai-g…
Putting audit logging on your AI gateway's critical request path is one of the most common production mistakes we see. Every audit write adds latency. Every audit failure risks your user-facing response. Here is how we solve it: blog.platformatic.dev/auditable-ai-g…
Matteo Collina @matteocollina
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