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