Efiros

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Stop running your AI agents without context.

Your agents push PRs into a system they don't understand — overloading reviewers, stacking queues, and slowing everything down. Efiros gives them real context before the next bad decision.

Connect your agents

Your agents
in reality

You added AI to go faster. Here's what's actually happening inside your delivery system.

PRs flooding your pipeline

PRs flooding your pipeline

Agents generate PRs faster than your team can review. Queues grow. Cycle time stretches. Releases slip. More output doesn't mean more delivery. It means more work waiting.

Reviewers getting overloaded

Reviewers getting overloaded

Agents assign work without seeing real capacity. The same engineers get pulled into every review. They become the bottleneck. Everything starts waiting on them.

Low-signal PRs everywhere

Low-signal PRs everywhere

Agents generate code without context. PRs are larger, noisier, harder to review. Your team spends time filtering instead of shipping. Rework becomes part of the process.

Work stuck in the system

Work stuck in the system

Agents don't see where work is already blocked. They keep adding more into the same broken stages. Work piles up where nothing moves. And your delivery slows down with every PR.

AI agents don't  see your system

You added AI to go faster. Here's what's actually happening inside your delivery system.

AI agents don't see your delivery system

What they don't know

Who has review capacity, how long PRs actually take to merge, and which engineers are bottlenecks. They generate work blindly and overload the system instead of speeding it up.

Efiros gives AI agents real delivery context

What Efiros provides

Real-time visibility into cycle time, review queue state, reviewer capacity, and bottlenecks. Your agents stop guessing and operate with full awareness.

One endpoint

Without it, your agents act without context.
They push work into overloaded queues, hit the same bottlenecks, and slow everything down. You get more output — but less delivery.

Connect your agents

01

Create a PR

Checks load and cycle time before opening.
No blind PRs into broken queues.

02

Assign a reviewer

Picks based on real capacity.
Avoids overloading the same engineers.

03

Generate work

Adapts to system load and bottlenecks.
Stops flooding the pipeline.

Any AI agent. Any model. Any setup.

If it supports MCP — it connects. Your agents get real delivery context before they act.

FAQ

How fast can we get started?

Minutes, not days. Connect your repo, enable the MCP endpoint, and your agents start using real context immediately.

Do we need to change how our team works?

No. Your team keeps working the same way. Efiros changes how your agents behave — not your process.

What do our agents actually get?

Real-time delivery context: review capacity, queue load, cycle time, bottlenecks. They use it before every action — so they stop making bad decisions.

Do we need custom integrations?

No. If your tools support MCP, you're ready. One endpoint and your agents are live.

Will this slow down our agents?

No. Agents move faster because they stop guessing and stop creating rework.

Is our code safe?

Yes. Your code stays where it is. Agents get delivery context — not your codebase.

What changes after we connect?

Your agents stop breaking your system. They stop overloading reviewers, stop creating work at the wrong time, and start acting with real awareness.

How quickly will we see impact?

Immediately. You see the problems right away — and your agents start making better decisions from the first action.

Fix your agents. Connect them
to Efiros.

Connect your repo. Your agents either see real system load and bottlenecks — or keep breaking your delivery.
No more blind actions. You stay in control.

Connect agents