Zerops

From local development to production. Zerops builds, deploys, runs and manages your apps, no matter the size, no matter the environment.

[Zerops @zeropsio]

🎉 BIG ANNOUNCEMENT: ZCP is live!

A cloud dev platform where your coding agent works alongside you in the same workspace.

Bring your own agent and subscription, run a full MCP-native dev loop, and keep production clean as you build.

Details below.

[Zerops @zeropsio]

For whom did we build ZCP?

ZCP isn't for one-shot prototypes or the no-code crowd.
✓ It's for serious, production-shape projects.
✓ The 1% who code, not the 99% who don't.

[Zerops @zeropsio]

Thanks for the question Giordano.

Three concrete reasons.
1. Real Linux access means you can actually install what you need, run multiple processes, debug by SSHing in. The moment you hit "we need ffmpeg" or a long-running worker or a cron job that doesn't fit the platform's mental model, the locked-down options start fighting you. With real Linux you just install it and move on.

2. Same private network for the DB means your app talks to Postgres or Redis over an internal hostname, sub-millisecond, no public exposure, no egress fees. On most managed-DB combos you're going across the public internet between two providers, paying for the bandwidth, dealing with the latency, and exposing surface area you didn't need to.

3. Managed underneath means you still don't run the kernel, the backups, the failover. So you get the bare-metal control without the 3am sysadmin work.

[Zerops @zeropsio]

Fair! The savings get re-invested into bigger jobs and the bill never actually drops.

The interesting consequence, bak, is the cost picture stops being a model conversation and turns into an infrastructure one. When the model is commoditized and demand is elastic, the differentiator is whatever surrounds the model, how fast the environment spins up, what it can reach, whether failed runs cost the same as successful ones.

Thank you.

[Zerops @zeropsio]

@aakseon @giordanorandone This misses the middle slot most teams actually need, full-stack with real Linux access and managed DBs on the same private network.

That gap is bigger than the three categories suggest.

So to answer your question, we use and suggest Zerops.

[Zerops @zeropsio]

@iddqd_usa AI gets you to a working deploy faster, but the part that breaks at 3am still requires someone who understands what the agent built.

Effortless is the marketing version.
Cheaper and more accessible is the true version.

[Zerops @zeropsio]

@harjjotsinghh @lilstex_ Pre-deploy cost projection plus a spend cap is exactly the move.

The "you own the cost" framing is honest but it spooks the exact demographic you're trying to win.

The trust comes from showing the number before they commit, not after the bill arrives.

[Zerops @zeropsio]

@theadanovak @Jason DX alone is a thin moat because anyone with enough engineering can copy the surface.

What outlasts the UX wave is everything underneath, the pricing model, the infrastructure shape, what happens when you outgrow the happy path

[Zerops @zeropsio]

@suryabuilds The "if cache needed" instinct is right...

[Zerops @zeropsio]

Hey Joel! The honest answer is most teams catch it the worst way: in postmortems.

The earlier-than-2am version is usually a periodic diff script that compares config and resource shapes across environments, but the structural fix is building staging and prod from the same definitions so drift literally can't accumulate.

[Zerops @zeropsio]

@Mohaidoss Hehe, and what did they do?

[Zerops @zeropsio]

@mattfarmerai Allowance drops on every major coding agent have been the pattern of 2026...

[Zerops @zeropsio]

@drnull404 The naming pattern tells you more about the IP team than the engineering one.

[Zerops @zeropsio]

@0xCL4R The token-spend on exploration is the cost nobody talks about.

Most "agent is slow" complaints are really "agent is grepping its way through 30 files before doing anything."

Pre-built navigation context is probably the highest-ROI optimization in agent setups right now.

[Zerops @zeropsio]

@viks_rum The honest problem is most agent incidents aren't actuarially predictable, they're "agent did something nobody expected against a system it shouldn't have been able to reach." Insurance works for known risks.

Blast-radius design is what works for unknown ones.

[Zerops @zeropsio]

@RoyInProgress https://t.co/AgCVoibzyg

Here you go: We built Zerops!

We're here to answer any questions from the community.

[Zerops @zeropsio]

@iamtanzil_ https://t.co/jjU4A0xz20

We built Zerops! And we're here to answer any questions from the community.

[Zerops @zeropsio]

@nezbuilds We built Zerops!

https://t.co/jjU4A0xz20

[Aleš @fxckdev_]

Imagine this, but instead of a blackbox the output would be a production ready, transparent infrastructure using standard OSS for databases, queues, storage, search services, CI/CD, remote development environment where you can jump in at any point and code that sits in your GitHub repo. 🤔 👉 @zeropsio

[Zerops @zeropsio]

Agreed on this. The honest answer most C-suites land on is "platform engineering should sit on the business side of it" and then in practice the team spends 60% of their time on infra plumbing nobody outside the team can see.

The AI-exploit pressure makes it worse, because security work is by definition invisible-when-done-right.

The real win is moving as much of the unrewarded maintenance off the team's plate as possible, so the time they do spend earns visible business value.