If you care about startup latency, memory footprint, or deployment simplicity… February is going to be interesting. #performance #backend #native #devtools #buildinpublic

Build once. Run anywhere. Actually mean it. #crossplatform #native #devtools #engineering

Fast is nice. Predictable is better. Native binaries get you both. #performance #reliability #native #backendengineering #devtools

It’s fun building something where the win condition is “people stop stressing about infrastructure.” #developerexperience #infra #devtools #software #engineering

There’s a version of backend dev that feels dramatically calmer than what most of us are used to. We’re very close to sharing it. #backenddev #devexperience #software #comingsoon #engineering

Most backend stacks feel like they were assembled by committee lol

Shipping is easier when your mental model fits in your head. Containers, sidecars, cold starts, env glue… that stuff adds cognitive tax fast. #developerexperience #infra #backenddev #simplicity #engineering

Watching a mixed-language app compile down into a single native binary will never get old. #polyglot #nativecode #buildtools #backend #engineering

Small teams shouldn’t need big-company deployment machinery just to ship software. #startups #backend #devtools #simplicity #shipping

One of the underrated benefits of native binaries: your app feels like an app, not a deployment artifact. #nativecode #backend #devexperience #shipping #engineering

A lot of our recent progress came from conversations with early users who just wanted things to feel less fragile. That feedback loop rules. #devcommunity #buildinpublic #feedback #startup #software

We’ve been heads-down getting things boringly reliable. The fun part comes next. #buildinpublic #shipping #reliability #devtools #startup

“Serverless” should feel like frontend bundling: write code → build → deploy → done. #serverless #devexperience #backenddev #shipping #simplicity

Cold starts are a tax. Native binaries don’t collect it. #performance #serverless #native #backenddev #taxrevolt

Been refactoring some core pieces lately and it’s wild how much simpler things get when you remove layers instead of adding them. Fewer moving parts. Faster everything. #buildinpublic #softwareengineering #devlife #performance #simplicity

Elide’s still in beta, but the deployment model is already the cleanest part. New projects get payoff immediately.

Numbers are great (and we have some of the best numbers, everyone is saying this btw), but the real speed hack is just… not turning every function into its own microservice.

Most “polyglot” deployments multiply ops overhead. Elide collapses it back down to one deployable artifact. #Elide #Polyglot #runtime #native #binary

30–50MB binary + your model file. Run it anywhere. No venvs, no node installs, no system deps. elide.dev

I sometimes forget we are still in beta. Lots of optimization headroom. But the performance profile is already hard to ignore.

Merry Christmas to all the devs fixing one tiny thing today 🎄

JIT warmup is like stretching before running. Native image is like sprinting out of the womb. #Elide #GraalVM #Native #JIT #Java

Elide’s real trick isn’t speed, it’s collapsing entire architectures into a single process without losing flexibility.

Traditional stack: #Python → serialize → #HTTP → #Node → deserialize → render. #Elide: Call the function.

Local-first log analyzer: #Python parses → #Javascript streams UI → #AI explains stack traces → #SQLite stores known issues. All inside one binary. That’s the kind of flow that #Elide brings you.

Still wild to me that you can build dashboards, log analyzers, or AI-driven CI tools and deploy them as one binary with no APIs in between. That’s the fun part of Elide’s architecture. elide.dev #Elide #CLI #AI #Native #API #GraalVM #runtime

Native image removes warmup entirely. Your “slow” cold start becomes an instant launch. #Elide #GraalVM #JVM #JIT #Native

When Python and JS share memory, and local AI inference is built-in, you start getting app patterns that traditional stacks can’t even model. #Elide #Python #Javascript #AI #native

#Python data processing feeding #Javascript visualization with zero serialization overhead is basically cheating.

The future isn’t “pick one language.” It’s running Python, JS, Kotlin, and AI inference together with zero overhead in one process. That’s where everything gets weird in a good way. #Python #Javascript #Kotlin #AI #Elide #Native

Most “new tech” just speeds up old patterns. Elide opens up patterns that literally weren’t possible before; native AI + polyglot code in one binary changes the shape of what an app is. #Elide #Polyglot #AI #Native #Python #Typescript #Javascript #Kotlin #JVM

#GraalVM does cross-language inlining, speculative optimizations, escape analysis… It’s doing things #V8 literally can’t.

Big shoutout to @typescript.fm for hosting our founder on the podcast. An opportunity to explain Elide is another opportunity to fall in love with it again. Cheers share.transistor.fm/s/368cd267

Some cool stuff in the beta11 release cycle: new classpath command, built-in S3 mock server, a bunch of polish. github.com/elide-dev/el...

OXC (#Rust) parsing is absurdly fast.

The best feedback always comes from someone who tries something weird. Edge cases teach you more than happy paths ever do.

Most backend latency is JSON bouncing between services. #Elide collapses #Python → #Javascript → #AI inference into shared memory. Direct calls beat microservices every time.

It still surprises people that you can run TS, Python, and Kotlin in the same project without a build circus. Shouldn’t be surprising at all. #Elide #Polyglot #Runtime #GraalVM #Typescript #Python #Kotlin #Java

Wild how many problems disappear when your runtime isn’t dragging 20GB of “context” behind it. Tiny native binaries are still undefeated. #Elide #Polyglot #Runtime #GraalVM #Native

Elide hit ~800k req/sec in TechEmpower. Node landed around ~110k. Bun around ~260k. Numbers aren’t everything, but… numbers are numbers. #Elide #Node #Bun #Javascript #TechEmpower #rps

We’re always adding more Node API coverage, but a dev hit a gap trying to load a heavy SDK. It was neat watching him realize he could just use Elide to build a native shared library for his use case instead.

You can build a full ChatGPT-style app that runs entirely offline with #Python + #JavaScript + a #GGUF model… all inside one executable. No servers, no cloud APIs, no telemetry. That’s the interesting part.

If people are independently trying to get Claude agents running natively with Elide, we’re clearly building toward the right pain points. #Elide #AI #Native #Polyglot #Runtime #Claude #SDK

Got a survey response from a dev trying to run the Claude Agents SDK in a native context. He eventually realized he could build a native shared library with Elide for it. Love seeing people push it in that direction. #Elide #polyglot #Claude #SDK #Native #AI

Kotlin on Elide skips the VM entirely. You write #Kotlin. We compile it AOT through #GraalVM. It runs like #C, interoperates like #Python, and deploys like #Rust.

Fewer layers. Fewer abstractions. More brain to cook something real.

Your #TypeScript server doesn’t need #Node. Your #Python script doesn’t need CPython. Both just need #Elide.

Elide doesn’t care if it’s #Python, #Kotlin, or #TypeScript. It just runs code.

Imagine Flask + React in one binary. No microservices

The JVM’s best idea was safety. We're just extending it across every language that needs it.