Deployment.io

Turn AI-generated code into shipped software. Describe an outcome - our agents plan, build, verify in a preview, and ship to your cloud. You approve prod.

[Deployment.io @deployment_io]

We built https://t.co/gVMeLj8kJB around one rule: done means deployed - not a pull request.

Agents build + verify in preview. You sign off. It ships.

The last mile isn't an afterthought. It's the whole point.

[Deployment.io @deployment_io]

78% of enterprises have AI agent pilots.
Only 14% have one actually running at production scale.

That's not a model quality problem.
That's a deployment problem.

🧵

[Deployment.io @deployment_io]

"Done" got quietly redefined to mean "done writing code."

Not done shipping. Not done serving users.

That's a different kind of backlog.

[Deployment.io @deployment_io]

Coding agents have been deleting production data.

When we built https://t.co/LCsLoO0VKh, we made the agents environment-aware from day one. Any production deploy requires human approval - the reviewer sees the diff, commits, and a summary of what the agent changed.

Humans in the loop where it matters.

[Deployment.io @deployment_io]

Every fix goes through a PR. Nothing lands without review.

Full walkthrough on our blog: https://t.co/AqoMnu5gpC

[Deployment.io @deployment_io]

We set up a Claude Code scheduled task that pulls production error logs every hour and opens PRs to fix them.

Here's what it looks like 👇

[Deployment.io @deployment_io]

It's good at the bugs nobody wants to deal with:

Missing null checks
Unhandled API error codes
Edge cases that fire a few times a day
The stuff that sits in the backlog for months.

[Ankit Arora @ank_aro]

Super excited to be a part of this event and present @golang and @deployment_io to developers.

#golang #startups #deployment.io #hackerspaceMumbai