Foodie, science and travel geek. Software Developer by choice. Solutions Engineer @ Vercel
Hamburg, Germany
Joined March 2022
- Tweets190
- Following558
- Followers246
- Likes609
Diego de Miguel retweeted
It keeps happening.
ALT Bar chart: Vercel CI with 6 shards finished in 8m 14s. Unsharded GitHub Actions took 38m 10s on the same commit. Both passed all 2,451 tests.
"Hey, Anthony, how did Launch Day go?"
*gestures broadly at customer feedback*
![Slack thread screenshot. A customer posts: "Checks took 13.6 seconds. Total time was 37.2 seconds, including 23.7 seconds of Vercel startup. This is going to be crazy for velocity!" Anthony Shew replies: "Love this. Do you know what your timings were before?" The customer answers: "2m36s on average with [redacted] and before that 5m47s with [redacted] running with our self hosted runners in AWS. I have been on a bit of a crusade with itβ¦" Anthony replies: "Absolutely stellar."](https://pbs.twimg.com/media/HVzokZKbgAAHR5i.jpg?name=orig)
ALT Slack thread screenshot. A customer posts: "Checks took 13.6 seconds. Total time was 37.2 seconds, including 23.7 seconds of Vercel startup. This is going to be crazy for velocity!" Anthony Shew replies: "Love this. Do you know what your timings were before?" The customer answers: "2m36s on average with [redacted] and before that 5m47s with [redacted] running with our self hosted runners in AWS. I have been on a bit of a crusade with itβ¦" Anthony replies: "Absolutely stellar."
ALT Slack message screenshot from a customer: "I'm so glad to not have to focus on CI anymore π You can have it"
Diego de Miguel retweeted
If it's fast, it's on Vercel.
We just made @MercedesAMGF1 even faster.
Live at mercedesamgf1.com
Diego de Miguel retweeted
Grok 4.7 is live on AI Gateway, fx, and @eve.
40% off on all until September 27th.
ππππππ‘ππ/ππππ-πΊ.π½
vercel.com/changelog/grok-4-β¦
Diego de Miguel retweeted
Each day ~10 million deployments are made on Vercel, with 2.35 billion made to date.
Vercel is one of the most heavily multi-tenant systems in the world. Billions of application deployments co-exist and are accessible ('routable') on our CDN at any given moment.
Underlying our CDN is a global metadata store that synchronizes within hundreds of milliseconds, globally. e.g: when you roll back, change config, add routes, etc.
We just made this system 91% faster at p99, and in the process sped up the buildβdeploy pipeline. All of this while the system is under immense pressure from the growth in agentic deployments.
Great read on the internals of Vercel from our CDN engineering team:
The Vercel CDN makes over 80 million routing decisions per second.
We cut P99 metadata lookup latency by 91%, helping requests reach your pages faster and speeding up deployments along the way β
vercel.com/blog/how-we-cut-cβ¦
Diego de Miguel retweeted
Introducing fx, a tiny, open, native coding agent from Vercel Labs.
Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it.
fx is built on three principles:
1. Fast. A single native binary, no runtime to install. It cold starts in 10Β΅s and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?"
2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes.
3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP.
Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms.
You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, ππ‘ πππ --ππππ gives structured output, ππ‘ πππ connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: fx.sh/try).
Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic.
fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X (fx.sh/xchat) or file issues (fx.sh/issues).
ππππ -ππππ» ππ‘.ππ/πππππ.ππ | ππππ
fx.sh/
Diego de Miguel retweeted
GPT 5.6 Sol is 50% off on AI Gateway.
β’ Through September 18, 2026
β’ Applies to both standard and fast mode
'ππππππ/πππ-π».πΌ-πππ'
vercel.com/changelog/gpt-5-6β¦
Diego de Miguel retweeted
I just open sourced a minimal chatbot template.
This brings together everything we've been doing the past weeks: new components, shadcn/typeset, shadcn/react, tool calling, HITL with questionnaire, message parts. Deploys one click to @vercel AI Gateway.
github.com/shadcn-ui/chatbotβ¦
Diego de Miguel retweeted
Looking goooood, @vercel π
Diego de Miguel retweeted
We are joining @MercedesAMGF1 as a multi-year strategic partner. First stop: British GP.
If it's fast, it's on Vercel.
Diego de Miguel retweeted
Building together. Celebrating together. Doesnβt get much better than this. π¦π·
Really excited to share that this year I'll be presenting at SHIP 26 in London on June 17th, alongside @pranaygp, @cramforce, @rauchg and other great speakers.
See you there.
vercel.com/ship/london/speakβ¦
Diego de Miguel retweeted
The hardest thing about agents and backends is durability. @workflowsdk fixes this.
That LLM you're calling *will* go down. That service *will* rate limit you. That database *will* unexpectedly slow down. You *will* get paged π
I've been looking for a unicorn for a decade. I wanted the level of reliability of combining stuff like SQS / Kafka / microservices, and I absolutely did not want *that* at the same time π
Truly reliable systems like that are notoriously difficult to reason about, to develop locally, to test, to simulate, to deploy⦠Workflow SDK solves that without compromises.
We're doing what Next.js did for the frontend, but for one of the most important problems of the new generation of backend applications.
Notably, Workflow SDK has an incredible self-hosting and multi-cloud story from day 0. We've taken amazing lessons from Next.js and poured them into the many Worlds (adapters) you can deploy to.
Congrats to Pranay and the Workflow team on a generational ship: vercel.com/blog/a-new-prograβ¦
Vercel Workflows is GA.
Your code is the orchestrator. Ship agents, backends, or any long-running process without managing queues, retries, or workers. vercel.com/blog/a-new-prograβ¦
