Evolune OS

The control plane for AI software delivery.
Agents execute. Humans approve. Everything stays governed.

[Evolune OS @EvoluneOS]

@Joi2James https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

"Tests passed" is not an approval process.

Agents can plan, code, test and review. The last step should still have a human name on it.

That's what EvoluneOS is for → https://t.co/t433NA0DYT
#AIAgents #AIGovernance

[Evolune OS @EvoluneOS]

@aiwithadb https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@benabmathew https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@Joi2James https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@lightsilver323 Your team is about to hire AI agents. EvoluneOS is how you manage them.

Every agent gets a role, a budget and limits. A human approves before anything ships. Every decision is on the record for your auditors.

https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@spacedevin EvoluneOS: a governance layer for AI coding agents.

Agents plan, code, test and review. A human approves before anything ships, and every decision lands in an audit log.

https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@FurqanR @FurqanR
Teaching AI agents to ask permission before they touch production.

Building EvoluneOS, the governance layer for AI agents.
https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

@16vchq @EvoluneOS is the governance layer for AI agents: every agent gets a role, scope and budget, and nothing ships to production without a human approval and an audit trail. NVIDIA Inception member. https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

Nobody:

Your AI agent at 2:14 AM: git push --force origin main

The scariest line in any deploy log is approved_by: null.

EvoluneOS puts a human yes between every agent and production.

https://t.co/t433NA0DYT

#AgenticAI #DevOps #investor #AI #Agents #AIworkforce #Workforce

[Evolune OS @EvoluneOS]

Your auditor won't ask which model you used.

They'll ask: Who approved this change? What was the agent allowed to touch? Where's the record?
If the answer is "somewhere in a Slack thread," you don't have AI governance. You have a screenshot.
https://t.co/WqepR2J4Yt

#AIAgents #AIGovernance #DevTools #investment

[Evolune OS @EvoluneOS]

“Treat the AI agent like another developer” breaks the moment you ask:

Who does it report to?

Who reviews its access?

Who’s accountable when it ships something wrong?

To answer this question, check out Evolune OS today!

Get early access at: https://t.co/EMow7hReH6

#AIAgents #PlatformEngineering #ClaudeCode #Codex #AIGovernance

[Evolune OS @EvoluneOS]

Good one. Email might be the most irreversible action there is: no revert, no rollback, and they've already read it.

That's the line we built our gate on: anything externally visible waits for a human. https://t.co/WqepR2J4Yt

Would you let an agent draft it and a human hit send?

[Evolune OS @EvoluneOS]

Engineering leaders running Claude Code, Codex or Cursor across a team:

What's the one action you would never let a coding agent take without a human approving it first?

I'll start: merging anything that touches payments or auth.

#ClaudeCode #Cursor #AIGovernance

[Evolune OS @EvoluneOS]

This is what Evolune OS records for every agent run: ticket to production, with a human-controlled gate in the middle. https://t.co/t433NA0DYT

Get early access today!

#AIAgents #PlatformEngineering #ClaudeCode #Codex #AIGovernance

[Evolune OS @EvoluneOS]

Every agent-written change should be able to answer 4 questions before it reaches production:

Who asked for it?
Not “the agent.” Which ticket, which person, which intent.

What did it touch?
Files, services, configs, secrets. The full blast radius, not just the diff.

Which policy applied?
“Payments changes need a code owner” only works if something actually enforces it.

Who approved it?
A named human, recorded, with what they saw when they clicked approve.

With human engineers, most of this lives in people’s heads and team habits.

With agents opening dozens of PRs a day, habits don’t scale. These answers have to be recorded automatically, every time.

How many of the 4 can your team answer right now?

[Evolune OS @EvoluneOS]

Asking because the honest answer at most teams we talk to is #1 or #4, and neither scales once agents open hundreds of PRs a week.

Building Evolune OS to fix exactly this: https://t.co/WqepR2J4Yt

Get early access now!

#AIAgents #EngineeringLeadership #ClaudeCode #Codex #Cursor #AIGovernance

[Evolune OS @EvoluneOS]

Teams using AI coding agents: who approves an agent’s PR at your company today?

[Evolune OS @EvoluneOS]

agreed, That split is our whole design too: run free inside, one gate on what leaves.

What we added on top of the gate: a record of who said yes, when, and why, so the approval survives an audit. https://t.co/WqepR2J4Yt

Up for a 15-min look sometime? Feedback from a builder beats anything.

[Evolune OS @EvoluneOS]

Same ticket. Same agent. One gate in the middle.

That’s the whole difference between a demo and production.

Check out Evolune OS at: https://t.co/t433NA0DYT

Join now for early access!

#AIAgents #AIGovernance #ClaudeCode #Codex #Cursor

[Evolune OS @EvoluneOS]

@SheralTech Knowing the limits is step one. Writing them down is step two.

Most teams' agent rules live in someone's head, which works until a run fires at 2am and nobody's watching.

That's why we made them policy, not habit: https://t.co/t433NA0DYT

[Evolune OS @EvoluneOS]

The AI coding race asks: how much can the agent do?

Enterprises are asking a different question: how much should it be allowed to do?

That second question will decide who actually ships with agents. 🧵